{"jobs":[{"id":"22067697-90e0-4a9a-bc08-954ce6796537","title":"Senior Platform Engineer - Core Infrastructure","department":"Data Center Business","team":"Platform Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-08-14T22:50:56.404+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/22067697-90e0-4a9a-bc08-954ce6796537","applyUrl":"https://jobs.ashbyhq.com/lambda/22067697-90e0-4a9a-bc08-954ce6796537/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco,San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.


What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco,San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\n\nWhat You’ll Do\n\n - Architect, deploy, and operate Kubernetes clusters across Lambda's bare-metal datacenters.\n\n - Build and maintain automation for cluster lifecycle management: provisioning, upgrades, and scaling.\n \n - Similar to SRE-level coding abilities (small scripts, k8s operators/CRDs a plus)\n\n - Own the reliability, performance, and security of Kubernetes workloads in production.\n\n - Implement observability, logging, and alerting for clusters and critical workloads.\n\n - Partner with product teams to design scalable, cloud-native services.\n\n - Set the standards for resource management, networking, and RBAC across the platform.\n\n - Lead incident response, root-cause analysis, and post-mortems for platform issues.\n\n - Mentor junior engineers and raise the bar for platform engineering across the org.\n\nYou\n\n - 5+ years in Platform, Infrastructure, or SRE roles, including running Kubernetes in production at scale.\n\n - Deep knowledge of Kubernetes internals and day-2 operations (upgrades, scaling, troubleshooting).\n\n - Strong with Helm, Kustomize, or similar, and GitOps-based delivery.\n\n - Proficient with Linux systems and understanding of system-level operations.\n\n - Proficient with infrastructure-as-code (Terraform, Pulumi, or equivalent).\n\n - Solid grounding in networking, service meshes, and container runtimes.\n\n - Hands-on with observability stacks (Prometheus, Grafana, OpenTelemetry).\n\n - Strong coding skills in Go or Python for automation and tooling.\n\n - Practical security experience: network policies, secrets management, and image scanning.\n\nNice to Have\n\n - Experience with multi-cluster, multi-cloud, or hybrid environments.\n\n - Knowledge of GPU scheduling, HPC workloads, or ML/AI infrastructure.\n\n - Experience with workflow orchestration / durable execution frameworks (Temporal, Cadence, or Argo Workflows).\n\n - Exposure to cost optimization and capacity planning for large clusters.\n\n - Contributions to CNCF or Kubernetes open-source projects.\n\n - CKA/CKS certification.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"3fede5ab-bd58-4539-b846-f613c8bc81ff","title":"Senior HPC Platform Hardware Engineer","department":"Data Center Business","team":"HPC Architecture","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-08-28T22:42:43.636+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/3fede5ab-bd58-4539-b846-f613c8bc81ff","applyUrl":"https://jobs.ashbyhq.com/lambda/3fede5ab-bd58-4539-b846-f613c8bc81ff/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Hardware Engineering at Lambda is responsible for building and scaling the physical infrastructure behind the Superintelligence Cloud. Our scope spans the full hardware lifecycle: roadmap and architecture, proof-of-concept for state-of-the-art platforms, new product introduction (NPI), and fleet-scale maintenance — all engineered for gigawatt-scale AI factories with rack-first design, advanced liquid cooling, and next-generation interconnects at the cutting edge of the industry. If you want your hardware work running at the frontier of AI compute, at a scale few teams in the industry operate at, this is that team.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nHardware Engineering at Lambda is responsible for building and scaling the physical infrastructure behind the Superintelligence Cloud. Our scope spans the full hardware lifecycle: roadmap and architecture, proof-of-concept for state-of-the-art platforms, new product introduction (NPI), and fleet-scale maintenance — all engineered for gigawatt-scale AI factories with rack-first design, advanced liquid cooling, and next-generation interconnects at the cutting edge of the industry. If you want your hardware work running at the frontier of AI compute, at a scale few teams in the industry operate at, this is that team.\n\n\n\nWhat You’ll Do\n\n - Serve as the hands-on technical lead for integrating OEM and white-label HPC AI/ML, general purpose compute, storage, and network hardware into Lambda’s HPC platform reference architectures.\n\n - Drive the end-to-end process of new product introduction (NPI) for hardware systems, including system bring-up, documentation, vendor technical engagement, production readiness, and closure of hardware risks.\n\n - Identify, debug, and resolve hardware issues across different hardware engineering domains during hardware NPI; support closure of critical fleet issues that require hardware design, vendor corrective action, or platform configuration changes.\n\n - Partner with HPC architects to translate platform blueprints into concrete hardware selections and system configurations.\n\n - Partner with the supply chain team on new vendor evaluation and QBR/HBR feedback on established vendors.\n\n - Own the hardware platform through NPI, working with PMO to de-risk execution, drive cross-functional closure of hardware readiness issues, and ensure platforms reach production on schedule.\n\n - Collaborate with the quality team and fleet reliability team during hardware NPI and after production to continuously improve product quality and reliability at scale.\n\n - Work cross-functionally with fleet engineering, deployment, operation and datacenter engineering teams to ensure on-time delivery and deployment, quality, compatibility, performance, and scalability of new systems.\n\n - Serve as the technical lead to evaluate, enable, and prototype new hardware in labs.\n\n - Review BOMs to ensure configuration accuracy, component compatibility, and alignment of key commodities and components to Lambda platform requirements.\n\nYou\n\n - 5 years of technical lead experience on hardware NPI and deployment for HPC, data center, or cloud infrastructure products, familiar with hardware NPI processes.\n\n - Possess deep knowledge and hands-on experiences in one or many of the following hardware platforms: AI/ML, general compute (x86 and ARM), storage systems, or network switches.\n\n - Broad hardware engineering domain knowledge in one or many of the below areas: electrical, thermal, mechanical, power, signal integrity, safety, compliance, reliability and manufacturing.\n\n - Are comfortable working hands-on in labs to enable and bring up new hardware systems.\n\n - Experiences in identifying, triaging and root causing hardware issues during NPI and at scale in the fleet.\n\n - Experience in PLM systems and BOM structure.\n\n - Collaborate well cross functionally to deliver production-ready hardware solutions.\n\n - Strong ownership and can do attitude, self-starter who feels comfortable working in ambiguity.\n\nNice to Have\n\n - 10+ years of technical lead experience on hardware NPI and deployment for HPC, data center, or cloud infrastructure products, familiar with hardware NPI processes.\n\n - Experience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel).\n\n - Experience in rack scale server development and liquid cooling designs.\n\n - Exposure to fleet observability, BMC/BIOS/Network configuration and automation.\n\n - Background in performance tuning, benchmarking, and systems validation workflows.\n\n - Can interpret platform-level architecture requirements and select or adapt OEM and white-label solutions to fit.\n\n - Prior experience contributing to reference designs or large-scale infrastructure blueprints.\n\n - Are experienced with vendor-led product development cycles and can drive hardware evaluation, risk mitigation, and feedback into roadmap decisions.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"d96f72bd-d78e-4a2b-9d9f-faa10b9ec883","title":"Senior Software Engineer - Fleet Engineering","department":"Data Center Business","team":"Fleet Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-05-11T21:28:56.196+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/d96f72bd-d78e-4a2b-9d9f-faa10b9ec883","applyUrl":"https://jobs.ashbyhq.com/lambda/d96f72bd-d78e-4a2b-9d9f-faa10b9ec883/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


Fleet Engineering at Lambda is responsible for logically deploying, provisioning, and maintaining our rapidly growing fleet, spanning GPU, CPU, and storage hosts along with the InfiniBand and networking fabric that ties them together.

As a Senior Software Engineer in Fleet Engineering, you will build and improve the systems that take our clusters from hardware receiving through provisioning, configuration, and day-to-day operation in production. You will work on automation and tooling that keep the fleet consistent, healthy, and easy to operate as it grows. The systems you build directly determine how quickly and reliably new hardware turns into usable customer capacity.


What You’ll Do

Fleet Engineering spans several teams. Depending on the team you join, your day-to-day will involve some combination of the following:

You

Nice to Have

If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nFleet Engineering at Lambda is responsible for logically deploying, provisioning, and maintaining our rapidly growing fleet, spanning GPU, CPU, and storage hosts along with the InfiniBand and networking fabric that ties them together.\n\nAs a Senior Software Engineer in Fleet Engineering, you will build and improve the systems that take our clusters from hardware receiving through provisioning, configuration, and day-to-day operation in production. You will work on automation and tooling that keep the fleet consistent, healthy, and easy to operate as it grows. The systems you build directly determine how quickly and reliably new hardware turns into usable customer capacity.\n\n\nWhat You’ll Do\n\nFleet Engineering spans several teams. Depending on the team you join, your day-to-day will involve some combination of the following:\n\n - Develop and Maintain Production Systems: Design, implement, and improve the software that powers fleet lifecycle management, machine configuration, and cluster state at scale.\n\n - Automate Provisioning and Deployment: Build and enhance automation that takes clusters from logical design and racking through OS provisioning, configuration, validation, and customer hand-off.\n\n - Support New Hardware and Site Bring-Up: Enable bring-up, validation, and production readiness for new server, accelerator, and network platforms, as well as new datacenter sites.\n\n - Improve Machine Lifecycle Workflows: Refine bare metal provisioning, firmware and DPU updates, imaging, and system health monitoring across the fleet.\n\n - Keep Fleet State Consistent and Healthy: Build systems that reconcile intended against actual configuration, catch drift before it causes deployment failures, and maintain production SLAs.\n\n - Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, DPUs, networking, storage, and boot flows.\n\n - Collaborate Across Teams: Work closely with datacenter and deployment operations, networking, architecture, security, and product engineering teams to build scalable, maintainable solutions.\n\nYou\n\n - Have 5+ years of engineering experience\n\n - Are fluent in Python, Go, or similar, and comfortable with APIs, distributed systems, and automation pipelines\n\n - Work confidently in Linux environments and can debug across the OS, hardware, and networking layers\n\n - Are excited about working at the intersection of hardware, software, and physical datacenter builds\n\n - Have owned production systems with real SLAs\n\n - Can lead technical design on medium-to-large features: take an ambiguous problem, write the doc, drive alignment across teams, and ship\n\n - Leave systems, and the teammates around you, better than you found them\n\nNice to Have\n\n - Experience in AI or ML infrastructure, or other hyperscale compute environments\n\n - Hands-on experience with bare metal provisioning and lifecycle management, including technologies such as PXE, Redfish, IPMI, BMC, DHCP, and DNS\n\n - Familiarity with datacenter physical infrastructure, including racks, switches, InfiniBand fabric, and power domains\n\n - Experience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers\n\n - Experience with DPUs or programmable network accelerators\n\n - Experience with network source-of-truth systems (NetBox or similar) or DCIM tooling\n\n - Experience building Linux distributions or managing OS customization and imaging\n\n - Familiarity with Ansible or similar configuration management tooling\n\n - Exposure to Kubernetes and container orchestration concepts\n\n - Experience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation\n\nIf you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"0b24367a-59b6-4e1e-a9f4-7c23542536fa","title":"Senior Network Engineer","department":"Data Center Business","team":"Fleet Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-06-12T21:20:12.687+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/0b24367a-59b6-4e1e-a9f4-7c23542536fa","applyUrl":"https://jobs.ashbyhq.com/lambda/0b24367a-59b6-4e1e-a9f4-7c23542536fa/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\n - Help to build and scale Lambda's high performance cloud network\n\n - Work on deploying and configuring networking Hardware for new and existing clusters\n\n - Ensure high availability of our network through monitoring, failover, and redundancy\n\n - Contribute to automation of network configuration management and operation\n\n - Work with internal and external customers to resolve network related issues\n\n - Help with deploying and maintaining network monitoring and management tools\n\n - Will be part of day2 operations and on-call rotation for Network Engineering team\n\nYou\n\n - Have 10+ years of experience in IT and networking space\n\n - Have 6+ years of experience in designing and operating production Data Center type of networks\n\n - Have led the implementation of large production-scale networking projects\n\n - Experience managing Next-Generation Firewalls (e.g. Fortigate)\n\n - Have experience with cloud providers networking (such as AWS, GCP, OCI)\n\n - Expert in CLOS/Spine and Leaf fabrics,EVPN/VXLAN, ECMP, BGP, and fast convergence techniques.\n\n - Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals\n\n - Strong automation skills (Python, Ansible) and network APIs and worked with git or similar source control systems\n\n - Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)\n\n - Experience with Networking Monitoring stack (Datadog, Clickhouse, Grafana, Prometheus, gNMI, OTel)\n\nNice to Have\n\n - Have knowledge or experience maintaining Software Defined Networks (SDN)\n\n - Experience automating network configuration within public clouds, with tools like Terraform/Ansible/Salt\n\n - Hands-on with HPC/AI networking: RoCEv2 and/or InfiniBand (Congestion Control, VLs, partitions), GPUDirect RDMA concepts.\n\n - Experience with DWDM technologies and SD-WAN\n\n - Understanding of data center power/space/cooling trade-offs and their impact on topology choices\n\n - Have experience with virtualization technology, like ESXi, KVM, and VMs management\n\n - Experience with LoadBalancers like F5, NetScaler\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"4605a295-8303-45be-9ba7-f26af3bae8cd","title":"Account CTO","department":"Data Center Business","team":"Sales Engineering","employmentType":"FullTime","location":"Remote, USA","secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-06-03T19:41:41.319+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/4605a295-8303-45be-9ba7-f26af3bae8cd","applyUrl":"https://jobs.ashbyhq.com/lambda/4605a295-8303-45be-9ba7-f26af3bae8cd/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\n\n\nWhat You’ll Do\n\n - Strategic Technology Leadership for Key Accounts\n \n - Serve as the primary technical liaison for Lambda's strategic Superintelligence accounts\n \n - Cultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor\n \n - Drive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolio\n \n - Influence customer technology strategy and adoption at the executive level\n \n - Represent Lambda at executive briefings, board meetings, and strategic planning sessions\n\n - Own Technical Strategy and Business Outcomes\n \n - Partner with Global Account teams to drive strategic account growth and expansion\n \n - Lead architectural reviews and technology assessments at the enterprise level\n \n - Define and articulate business value propositions, ROI models, and TCO analyses for executive stakeholders\n \n - Orchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management\n \n - Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives\n \n - Drive adoption of Lambda's strategic initiatives within key accounts\n\n - Technology Vision and Thought Leadership\n \n - Establish yourself as a trusted advisor on AI/ML transformation and cloud strategy\n \n - Guide customers through digital transformation journeys and emerging technology adoption\n \n - Publish thought leadership content, speak at industry events, and represent Lambda in executive forums\n \n - Influence Lambda's product strategy based on strategic customer needs and market trends\n \n - Mentor and develop technical talent across the organization\n\nYou\n\n - Have 15+ years of experience designing, deploying and scaling cloud infrastructure\n\n - Have 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities\n\n - Have 5+ years driving cloud transformation initiatives at enterprise scale\n\n - Have proven track record of influencing C-suite executives and board-level stakeholders\n\n - Have deep expertise in AI/ML technologies and their business applications\n\n - Have experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deployments\n\n - Have experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions\n\n - Have hands-on experience with LLM training, fine-tuning, and inference at scale\n\n - Have experience with enterprise architecture frameworks and governance models\n\n - Have experience managing or influencing deals worth $1B+ annually\n\n - Have strong business acumen with ability to translate technology into business outcomes\n\n - Have experience navigating complex organizational dynamics and driving consensus\n\n - Have track record of building strategic partnerships and alliances\n\n - Excel at executive communication, presentation, and storytelling\n\n - Demonstrate thought leadership through publications, speaking engagements, or industry recognition\n\nNice to Have\n\n - MBA or advanced degree in Computer Science, Engineering, or related technical field\n\n - Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue\n\n - Track record working with AI labs, research institutions, or frontier model companies\n\n - Board advisory experience for technology companies\n\n - Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"9644bc3d-966a-4a5e-85ef-3afbe080a7a6","title":"Hardware Quality Engineer","department":"Data Center Business","team":"RMA / Logistics","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-31T16:45:54.449+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/9644bc3d-966a-4a5e-85ef-3afbe080a7a6","applyUrl":"https://jobs.ashbyhq.com/lambda/9644bc3d-966a-4a5e-85ef-3afbe080a7a6/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nThe Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.\n\n\nWhat You’ll Do\n\n - Track, log, and manage all quality issues arising in the data center during deployment and production environment \n\n - Perform root cause analysis (RCA) for every failure (hardware, software, process)\n\n - Analyze production system metrics and quality data to detect trends, anomalies, or weak points\n\n - Improve turnaround time (TAT) for Return Merchandise Authorization (RMA) processes\n\n - Design, monitor, and drive corrective and preventive actions (CAPA)\n\n - Implement and verify containment actions to keep systems operational until permanent fixes are applied.\n\n - Collaborate with operations, hardware, engineering, supply chain, and vendors to resolve quality issues\n\n - Capture and upload failure analysis (FA) reports and related data into Quality Management Systems (QMS)\n\n - Verify quality of spares (incoming and outgoing) to avoid repeat failures.\n\n - Define and track quality KPIs / SLAs and report on quality performance to leadership\n\n - Oversee MRB (Material Review Board) inventory, rework, disposal decisions\n\n - Ensure the quality management system (QMS) is up to date, with necessary training rolled out\n\n - Work cross-functionally during hardware ramp, deployments, and upgrades to ensure quality gates\n\n - Up to 30% travel may be required for this role.\n\nYou\n\n - Have experience working with hardware / data center / infrastructure systems\n\n - Are strong at data analysis, statistics, and metrics (you can turn raw data into insight)\n\n - Are skilled in root cause analysis methods (5 Whys, fishbone, 8D, A3, etc.)\n\n - Are comfortable managing cross-team communication, stakeholder expectations, and conflict resolution\n\n - Are detail-oriented, process-driven, and quality-minded\n\n - Have experience working with quality tools or QMS software (e.g. audit modules, ERP, defect tracking)\n\n - Communicate clearly in English (both written and verbal)\n\nNice to Have\n\n - Experience in the machine learning / AI infrastructure / GPU / HPC / computer hardware industry\n\n - Exposure to data center standards, certifications (e.g. ISO, Uptime Institute, etc.)\n\n - Experience working on vendor quality, supply chain quality, or incoming inspections\n\n - Understanding of firmware, embedded systems, reliability engineering\n\n - Familiarity with scripting or automation (Python, SQL, etc.) to help with data processing\n\n - Exposure to cloud or hyperscaler infrastructure operations\n\n - Experience with “manufacturing-like” quality concepts applied to compute hardware\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"7c1d9573-d7ac-4b4e-abad-df4b5c61fa65","title":"Senior Data Center Operations Systems Engineer (Quebec City, Canada)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Québec City, QC - Data Center","secondaryLocations":[],"publishedAt":"2026-04-14T14:21:34.853+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Quebec","addressCountry":"Canada","addressLocality":"Québec City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7c1d9573-d7ac-4b4e-abad-df4b5c61fa65","applyUrl":"https://jobs.ashbyhq.com/lambda/7c1d9573-d7ac-4b4e-abad-df4b5c61fa65/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Quebec City, Canada Data Center 5 days per week; shift work.

What You'll Do

You

Nice to Have

Salary Range Information

This is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Quebec City, Canada Data Center 5 days per week; shift work.\n\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"6f938d2d-0b79-4ca4-b28d-e4e84f5679be","title":"Executive Recruiter","department":"G&A","team":"Talent Acquisition","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-14T17:29:42.620+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/6f938d2d-0b79-4ca4-b28d-e4e84f5679be","applyUrl":"https://jobs.ashbyhq.com/lambda/6f938d2d-0b79-4ca4-b28d-e4e84f5679be/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


The People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.


Reporting to our Head of Talent, we're looking for a seasoned Executive Recruiter who thrives in fast-paced, high-growth environments and has a proven track record of attracting world-class executive talent to technology companies. You will be instrumental in building our leadership team as we scale from startup to market leader.

We're looking for someone who shares our passion for innovation and wants to play a pivotal role in assembling the leadership team that will drive our next phase of growth. This is a great opportunity to help shape the leadership team of a category-defining technology company

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nThe People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.\n\n\nReporting to our Head of Talent, we're looking for a seasoned Executive Recruiter who thrives in fast-paced, high-growth environments and has a proven track record of attracting world-class executive talent to technology companies. You will be instrumental in building our leadership team as we scale from startup to market leader.\n\nWe're looking for someone who shares our passion for innovation and wants to play a pivotal role in assembling the leadership team that will drive our next phase of growth. This is a great opportunity to help shape the leadership team of a category-defining technology company\n\nWhat You’ll Do\n\n - Lead end-to-end executive search processes for C-suite, VP, and senior director-level positions across all functions\n\n - Develop and execute comprehensive search strategies for critical leadership roles including Engineering, Product, Sales, Marketing, Operations, and Finance\n\n - Partner closely with founders, board members, and existing executives to define role requirements and ideal candidate profiles\n\n - Leverage extensive candidate networks within the cloud computing and AI industries\n\n - Proactively build relationships with top-tier executive talent through industry events, conferences, and strategic networking\n\n - Manage sophisticated interview processes involving multiple stakeholders and assessment methodologies\n\n - Ensure exceptional candidate experience that reflects our company values and competitive positioning\n\n - Develop compelling value propositions for executive candidates considering startup opportunities\n\nYou\n\n - 10+ years of executive search experience, with at least 4 years focused on technology sector roles\n\n - Proven track record of successfully placing C-suite and VP-level executives at high-growth technology companies\n\n - Deep understanding of semiconductor, GPU, AI/ML, or related hardware/software technology markets\n\n - Extensive network of relationships with executive talent in relevant industries\n\n - Experience working with venture-backed startups and understanding of startup dynamics\n\n - Bachelor's degree required; advanced degree preferred\n\nNice to Have\n\n - Previous experience at top-tier executive search firms (Russell Reynolds, Korn Ferry, Heidrick & Struggles, etc.)\n\n - In-house recruiting experience at high-growth technology companies\n\n - Familiarity with cloud computing, AI infrastructure, or related technologies\n\n - Experience recruiting for companies that have scaled through rapid growth phases (Series A through IPO)\n\n - Established relationships with technology executives, particularly in Silicon Valley and other major tech hubs\n\n - Track record of recruiting diverse executive talent and building inclusive leadership teams\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"654c357b-449a-49d1-b060-e91bf71a8bcf","title":"Senior Software Engineer - Managed Kubernetes","department":"Data Center Business","team":"Managed Orchestration","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-08-14T19:29:19.601+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/654c357b-449a-49d1-b060-e91bf71a8bcf","applyUrl":"https://jobs.ashbyhq.com/lambda/654c357b-449a-49d1-b060-e91bf71a8bcf/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.

Lambda is building the AI Cloud of the future. We are seeking a Senior Software Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. In this role, you will help build the infrastructure that powers the next generation of AI training and inference at scale.

As a Senior Engineer on our Orchestration team, you will contribute to Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.

This is not a role for someone who just operates Kubernetes; it's a role for an engineer who understands how compute, network, storage, and security interact, and can build solutions that account for that context — even while focused primarily on the orchestration layer. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform.

 

What You’ll Do

Required Qualifications

Preferred Qualifications

If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.

Why Lambda

Lambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence.

What makes this role special:

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nWe are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.\n\nLambda is building the AI Cloud of the future. We are seeking a Senior Software Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. In this role, you will help build the infrastructure that powers the next generation of AI training and inference at scale.\n\nAs a Senior Engineer on our Orchestration team, you will contribute to Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.\n\nThis is not a role for someone who just operates Kubernetes; it's a role for an engineer who understands how compute, network, storage, and security interact, and can build solutions that account for that context — even while focused primarily on the orchestration layer. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform.\n\n \n\nWhat You’ll Do\n\n - Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers; develop automation in Go/Python for end-to-end cluster lifecycle management — provisioning, upgrades, patching, and deletion\n\n - Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation\n\n - Partner with the Network team on networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect\n\n - Write resilient systems that handle failure gracefully — timeouts, retries, backoff, and degraded-mode operation — across large-scale distributed environments\n\n - Develop platform services for inference: model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns\n\n - Build internal tools and CLIs that let ML/AI teams deploy and monitor their own inference services\n\n - Support and debug production issues through on-call rotation\n\nRequired Qualifications\n\n - Have 6+ years of experience in software engineering, with a track record of owning significant technical scope within a team (e.g., driving a project from design through production, or acting as a de facto tech lead on a workstream)\n\n - Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful\n\n - Solid grasp of distributed systems fundamentals — fault tolerance, graceful degradation, and failure handling in large-scale environments\n\n - Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters\n\n - Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems\n\n - Strong programming skills in Go and Python; ability to collaborate effectively on shared codebases\n\n - Solid knowledge of Linux systems, networking, containers, and cloud infrastructure\n\n - Take pride in owning and delivering core components of products and platforms\n\nPreferred Qualifications\n\n - Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components\n\n - Hands-on experience with NVIDIA's GPU/networking ecosystem: GPU Operator, device plugins, DCGM, MIG, Network Operator, NCCL tuning, or similar\n\n - Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)\n\n - Familiarity with GPU, InfiniBand, RDMA, or high-performance computing on Kubernetes\n\n - Exposure to storage architecture for AI/ML workloads\n\n - Past contributions to CNCF projects or Kubernetes SIGs a plus\n\nIf you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.\n\nWhy Lambda\n\nLambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence.\n\nWhat makes this role special:\n\n - You'll be building core platform services the world's largest AI companies will consume\n\n - NVIDIA partnership: Deep integration with NVIDIA's GPU and networking stack, working with cutting-edge open-source tooling\n\n - Real technical challenges: Massive scale GPU clusters and the unique demands of AI workloads\n\n - Cross-stack exposure: Work at the intersection of Kubernetes, networking, storage, and compute — gaining depth across the full infrastructure stack that powers AI workloads, not just the orchestration layer\n\n - Direct impact: Your work enables AI breakthroughs. Every model trained on Lambda benefits from systems you build\n\n - World-class team: Work alongside engineers with deep expertise in ML, systems, and infrastructure\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"ed0611f7-7f19-45f4-bef8-56dbae59de15","title":"Staff Software Engineer - Managed Kubernetes","department":"Data Center Business","team":"Managed Orchestration","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-08-06T16:05:45.573+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/ed0611f7-7f19-45f4-bef8-56dbae59de15","applyUrl":"https://jobs.ashbyhq.com/lambda/ed0611f7-7f19-45f4-bef8-56dbae59de15/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

 

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

About the Role

Lambda is building the AI Cloud of the future. We are seeking a Staff Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. This is a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.

As a Staff Engineer on our Orchestration team, you will collaborate to help drive the technical vision for Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.

This is not a role for someone who just operates Kubernetes; it is a technical leadership role for an engineer who has synthesized the core domains of infrastructure (compute, network, storage, security) and can design holistic solutions across all of them. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform.

 

What You'll Do:

Product Engineering

Cross-Functional Infrastructure Leadership

Technical Leadership

Who You Are

You are a creative, innovative engineer who operates at high velocity. You don't just solve problems. You find elegant solutions and ship them quickly. You embrace modern tools and AI-assisted development (like Claude Code) to accelerate your productivity and multiply your impact. You're energized by building new things, not maintaining the status quo.

Required Qualifications

Preferred Qualifications

Why Lambda

Lambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence.

What makes this role special:

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n \n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nLambda is building the AI Cloud of the future. We are seeking a Staff Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. This is a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.\n\nAs a Staff Engineer on our Orchestration team, you will collaborate to help drive the technical vision for Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.\n\nThis is not a role for someone who just operates Kubernetes; it is a technical leadership role for an engineer who has synthesized the core domains of infrastructure (compute, network, storage, security) and can design holistic solutions across all of them. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform.\n\n \n\nWhat You'll Do:\n\nProduct Engineering\n\n - Drive technical vision for Lambda's Managed Kubernetes bare-metal platform, including control plane scalability, multi-tenancy, cluster lifecycle management, and high availability\n\n - Integrate and extend NVIDIA's open-source ecosystem: GPU Operator, Network Operator, DCGM, NCCL, and emerging projects like AICR and Topograph for topology-aware scheduling and placement\n\n - Design GPU-aware orchestration systems\n\n - Lead development of services that power our managed services\n\n - Inform on and help with networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect. You will work closely with our Network team to define and drive requirements\n\n - Inform and help with storage architecture requirements for AI workloads. You will partner with Storage teams on what managed K8s, Slurm, and future services need\n\n - Build the foundation for Managed Slurm on Kubernetes, enabling traditional HPC workloads to run seamlessly alongside Kubernetes workload\n\n - Design higher-level platform services for inference, including model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns\n\n - Design self-healing systems and automation for incident response, root cause analysis, and platform resilience\n\n - Lead chaos engineering efforts to validate system behavior under failure conditions at scale\n\n - Establish operational excellence for a managed service: upgrade automation, security patching, and zero-downtime maintenance\n\nCross-Functional Infrastructure Leadership\n\n - Serve as the technical bridge between Orchestration and other infrastructure teams (Network, Storage, Security), translating platform requirements into actionable specifications\n\n - Drive infrastructure-wide decisions that enable successful managed services. You’re someone who understands what's needed end-to-end, not just at the Kubernetes layer.\n\n - Provide input on bare-metal provisioning, network topology, and storage systems to ensure they meet the needs of managed the services being built by the Orchestration organization\n\n - Champion consistency and standardization across Lambda's infrastructure stack\n\n - Work directly with customers and internal teams to understand existing deployments and chart a path to the managed platform\n\nTechnical Leadership\n\n - Set technical direction for Kubernetes services across the Orchestration team, influencing roadmap and prioritization\n\n - Drive reviews and design sessions, ensuring we build systems that are scalable, maintainable, and aligned with customer needs\n\n - Mentor and grow engineers, establishing best practices for Kubernetes development, distributed systems, and Cloud Native engineering\n\n - Collaborate cross-functionally with Network, Storage, Security, and Customer Success teams\n\n - Engage with NVIDIA and the open-source community to stay current on GPU orchestration technologies and contribute back where appropriate\n\n - Represent Lambda externally through technical blog posts, conference talks, and strategic customer engagements\n\n - Shape our AIOps vision: design intelligent systems for automated capacity planning, anomaly detection, and predictive maintenance of cloud infrastructure\n\nWho You Are\n\nYou are a creative, innovative engineer who operates at high velocity. You don't just solve problems. You find elegant solutions and ship them quickly. You embrace modern tools and AI-assisted development (like Claude Code) to accelerate your productivity and multiply your impact. You're energized by building new things, not maintaining the status quo.\n\nRequired Qualifications\n\n - 10+ years of experience in software engineering, platform engineering, or SRE, with at least 5 years focused on Kubernetes at scale\n\n - Expert-level understanding of Kubernetes internals: API machinery, controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful\n\n - Holistic infrastructure expertise: you've synthesized knowledge across compute, networking, storage, and security, not just Kubernetes in isolation. You can build solutions that span the full stack.\n\n - Strong software engineering skills in Go (required) and Python; you write production-quality code, not just scripts\n\n - Deep experience with GPU orchestration in Kubernetes: NVIDIA GPU Operator, device plugins, DCGM, MIG, time-slicing, and GPU-aware scheduling. Familiarity with NVIDIA Network Operator and GPUDirect is strongly preferred.\n\n - Proven track record of technical leadership: driving design decisions across teams, mentoring engineers, and influencing infrastructure direction beyond your immediate scope\n\n - Deep experience designing and operating managed services or multi-tenant platforms. You understand what it takes to run infrastructure for external customers\n\n - Strong understanding of distributed systems principles: consensus, fault tolerance, consistency models, and graceful degradation\n\n - Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems\n\n - Solid knowledge of Linux systems and networking (L2-L7), including high-performance networking concepts (RDMA, InfiniBand, RoCE)\n\n - Experience with infrastructure-as-code and GitOps workflows\n\nPreferred Qualifications\n\n - Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components\n\n - Hands-on experience with NVIDIA's open-source ecosystem beyond GPU Operator: Network Operator, NCCL tuning, Topograph, AICR, or similar emerging projects\n\n - Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)\n\n - Background in confidential computing\n\n - Experience migrating customers or workloads from legacy/bespoke infrastructure to standardized platforms\n\n - Contributions to CNCF projects, Kubernetes SIGs, or NVIDIA open-source projects\n\n - Familiarity with security and compliance in multi-tenant environments: RBAC, Pod Security Standards, network policies, workload isolation\n\n - Background in ML infrastructure: training clusters, inference serving, simulation\n\nWhy Lambda\n\nLambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence.\n\nWhat makes this role special:\n\n - You'll be building core platform services the world’s largest AI companies will consume\n\n - NVIDIA partnership: Deep integration with NVIDIA's GPU and networking stack, working with cutting-edge open-source tooling\n\n - Real technical challenges: Massive scale GPU clusters and the unique demands of AI workloads\n\n - Cross-stack influence: Shape not just Kubernetes, but the network, storage, and compute infrastructure that supports it\n\n - Direct impact: Your work enables AI breakthroughs. Every model trained on Lambda benefits from systems you build\n\n - World-class team: Work alongside engineers with deep expertise in ML, systems, and infrastructure\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"c7ecb434-fdc0-434e-a455-9c200055cda0","title":"Staff Software Engineer - Infrastructure Storage","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-07-16T23:05:53.404+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/c7ecb434-fdc0-434e-a455-9c200055cda0","applyUrl":"https://jobs.ashbyhq.com/lambda/c7ecb434-fdc0-434e-a455-9c200055cda0/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.

The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.

Our expertise lies at the intersection of:

About the Role:

We are seeking a seasoned Staff Storage Software Engineer with deep experience designing and deploying storage protocol solutions at scale across object, block, and file paradigms.

This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. This is an opportunity to have a significant impact on the future of AI. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.

What You’ll Do

You Have:

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nIn the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.\n\nThe Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.\n\nOur expertise lies at the intersection of:\n\n - High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.\n\n - Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.\n\n - Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.\n\n\n\nAbout the Role:\n\nWe are seeking a seasoned Staff Storage Software Engineer with deep experience designing and deploying storage protocol solutions at scale across object, block, and file paradigms.\n\nThis is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. This is an opportunity to have a significant impact on the future of AI. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.\n\n\n\nWhat You’ll Do\n\n - Technical Leadership: Set technical direction for storage software architecture across petabyte-scale deployments, authoring and reviewing design docs, mentoring senior engineers, and serving as the technical anchor for cross-functional initiatives spanning storage, networking, compute, and control plane teams. Represent the storage software team in architectural reviews, roadmap planning, and customer-facing technical discussions.\n\n - Execution: Design, develop, and maintain high-performance storage systems software across file (NFS, SMB, Lustre), block (NVMe-oF, iSCSI), and object (S3) protocols. Build distributed systems for orchestrating storage resources, integrate with NVMe/GPU-direct/DPU-accelerated hardware, and troubleshoot complex production issues across performance, protocol, and hardware failure domains. Own the full lifecycle from requirements and design through deployment, monitoring, and maintenance, including benchmarking, profiling, and capacity planning tooling.\n\n - Collaboration: Partner closely with storage software, networking, control plane, Kubernetes, observability, compute, and fleet engineering teams to deliver cross-functional infrastructure initiatives, define and track storage SLOs/SLIs, and ensure reliable deployment and maintenance of distributed storage infrastructure.\n\n - Innovate: Stay current with AI and HPC storage research, evaluate emerging protocols and hardware (from open-source filesystems to vendor-specific accelerated storage), and optimize solutions for AI workloads including checkpoint I/O, high-throughput dataset serving, and latency-sensitive inference pipelines.\n\nYou Have:\n\n - Experience: 10+ years in storage systems engineering, with 5+ years in a technical lead or Staff+ IC role. Proven track record designing and operating multi-petabyte storage infrastructure in production data center or cloud environments. Background in HPC, AI/ML infrastructure, or large-scale cloud storage.\n\n - Systems-Level Programming: Strong proficiency in C, C++, Rust, or Go. Ability to write high-performance, concurrent, production-grade systems code. Familiarity with DPDK/SPDK and kernel-bypass data paths is a plus; kernel-level storage driver or storage daemon experience is even better.\n\n - Storage Protocol & API Expertise: Deep hands-on experience with two or more protocols, object (S3), block (iSCSI, NVMe-oF), or file (NFS, SMB, Lustre, DAOS), including implementing or maintaining protocol servers/clients in production, not just consuming them.\n\n - Storage Performance Optimization: Experience profiling and tuning for throughput, latency, and IOPS under real workloads using tools like fio, elbencho.\n\n - Modern Storage Technologies: Working knowledge of NVMe, NVMe-oF, RDMA (RoCE or InfiniBand), and DPUs (e.g., NVIDIA BlueField).\n\n - Operational Acumen: Comfortable in physical data center environments, rack-scale infrastructure, storage hardware, failure domains. Experience designing for reliability, writing runbooks, and driving incident response. Familiar with storage observability tooling (Prometheus, Grafana, log aggregation, tracing).\n\nNice to Have\n\n - Experience with NVIDIA BlueField DPUs or SuperNICs for accelerated storage data paths, including GPUDirect Storage implementation.\n\n - Deep production experience with enterprise or HPC storage platforms: Vast Data, Weka, NetApp, or Lustre.\n\n - Experience deploying and operating Ceph like service at scale (100PB+) in an HPC or AI infrastructure environment.\n\n - Familiarity with emerging storage technologies such as CXL memory pooling, computational storage, or ZNS (Zoned Namespace) SSDs.\n\n - Experience contributing to or maintaining open-source storage projects (e.g., Ceph, DAOS, Lustre, MinIO).\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"dc50b738-be98-4f38-b32e-4df9a340f9ff","title":"Staff Software Engineer - Compute","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-08-14T19:27:20.677+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/dc50b738-be98-4f38-b32e-4df9a340f9ff","applyUrl":"https://jobs.ashbyhq.com/lambda/dc50b738-be98-4f38-b32e-4df9a340f9ff/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

About the Role

As a Staff Software Engineer for the Compute pillar, you will play a critical role in defining the technical vision for Lambda's next-generation GPU and CPU host instance lifecycle and compute control plane. This role bridges the gap between high-level distributed systems and low-level semiconductor architecture to enable seamless, reliable cloud provisioning and lifecycle management of a heterogeneous compute platform at a massive scale. You will provide hands-on technical leadership that will guide development of a resilient compute control plane utilizing durable execution concepts and deep/unique hardware integration.

The position requires a deep understanding of the entire stack, from BIOS/firmware (UEFI), Linux kernel internals, modern DPU capabilities, distributed systems, cradle-to-grave system lifecycle management, to large-scale cloud-service provider (CSP) operations. You will drive high-impact, cross-functional initiatives, leading the work of multiple engineers to deliver enterprise-grade SLAs for the world's leading AI researchers.

What You'll Do


We are seeking an engineer with extensive experience in cloud infrastructure to build and optimize GPU-first compute systems. In this role, you will be responsible for:

Who You are

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nAs a Staff Software Engineer for the Compute pillar, you will play a critical role in defining the technical vision for Lambda's next-generation GPU and CPU host instance lifecycle and compute control plane. This role bridges the gap between high-level distributed systems and low-level semiconductor architecture to enable seamless, reliable cloud provisioning and lifecycle management of a heterogeneous compute platform at a massive scale. You will provide hands-on technical leadership that will guide development of a resilient compute control plane utilizing durable execution concepts and deep/unique hardware integration.\n\nThe position requires a deep understanding of the entire stack, from BIOS/firmware (UEFI), Linux kernel internals, modern DPU capabilities, distributed systems, cradle-to-grave system lifecycle management, to large-scale cloud-service provider (CSP) operations. You will drive high-impact, cross-functional initiatives, leading the work of multiple engineers to deliver enterprise-grade SLAs for the world's leading AI researchers.\n\nWhat You'll Do\n\n\nWe are seeking an engineer with extensive experience in cloud infrastructure to build and optimize GPU-first compute systems. In this role, you will be responsible for:\n\n - Designing and implementing a highly available and reliable GPU and CPU “host and instance lifecycle” control plane.\n\n - Guide technical decisions involving semiconductor architecture, BIOS/Firmware settings, system boot methodologies, and DPU utilization to optimize host capabilities, performance and reliability.\n\n - Guide design of compute platform multi-tenant security model\n\n - Provide technical leadership and mentorship for senior engineers across several teams to execute on complex infrastructure roadmaps and technical strategy.\n\n - Collaborate with product and data center organizations to translate customer requirements into scalable infrastructure capabilities.\n\n - Work with customers on translating vague customer technical requirements into concrete engineering deliverables.\n\n - Set engineering standards and lead design reviews for mission-critical cloud software at scale.\n\nWho You are\n\n - 10+ years of experience working on compute control plane distributed systems used for deploying and lifecycle managing heterogeneous compute platforms into data-centers, built for resilience at scale.\n\n - Deep expertise in durable execution models and distributed systems used in cloud-service provisioning.\n\n - Basic knowledge of software defined networking fundamentals that informs secure, multi-tenant distributed systems.\n\n - Proven track record of leading large-scale semi-conductor hardware enablement and deployment initiatives.\n\n - Proven experience in deploying net-new data-centers into a global compute platform (not just working in existing data-centers).\n\n - Proficiency in one of more of the following programming languages: C/C++, Rust, Python, Go.\n\nNice to Have\n\n - Knowledge of Nvidia’s AI Factory architectural components (including GPU hosts, CPU hosts, SuperNICs (ConnectX and Bluefield DPUs , and switches).\n\n - Knowledge of Nvidia’s AI Factory software offerings (like DOCA, DOCA SNAP, CUDA, et al.)\n\n - Knowledge of Linux kernel internals, device drivers, and virtualization technologies (KVM, QEMU), kernel bypass technologies (like SR-IOV, DPDK, SPDK).\n\n - Experience with Cloud Service Provider Kubernetes offerings.\n\n - Knowledge of high-performance networking (InfiniBand, RoCE) and storage protocols (NVMe-oF).\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"71485f80-dc31-431b-a843-ab98323eeb6d","title":"Senior Software Engineer - Storage Control Plane","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-08-12T23:46:26.152+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/71485f80-dc31-431b-a843-ab98323eeb6d","applyUrl":"https://jobs.ashbyhq.com/lambda/71485f80-dc31-431b-a843-ab98323eeb6d/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday.


In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.

The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.

Our expertise lies at the intersection of:

AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).

We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing our next-generation storage software. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage control plane that power our AI and machine learning infrastructure.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday.\n\n\nIn the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.\n\nThe Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.\n\nOur expertise lies at the intersection of:\n\n - High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.\n\n - Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.\n\n - Compute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.\n\nAI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).\n\nWe're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing our next-generation storage software. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage control plane that power our AI and machine learning infrastructure.\n\nWhat You’ll Do\n\n - Design and build a vendor-agnostic control plane that provisions, scales, heals, and meters storage across the platforms our customers actually demand, VAST Data, WEKA, DDN, Pure, NetApp, Ceph, MinIO, and the ones that don't exist yet.\n\n - Define the internal abstraction layer that hides vendor-specific APIs, failure semantics, QoS knobs, and telemetry formats behind one declarative interface, so a new vendor integration is a driver, not a re-architecture.\n\n - Build reconciliation-loop and CRD-based orchestration (Kubernetes controllers, operators, custom schedulers) that manages capacity, tenancy, encryption domains, and placement across data centers and availability zones.\n\n - Own multi-tenant isolation end to end: namespace and subsystem partitioning, per-tenant QoS and rate limiting, credential and key lifecycle, blast-radius containment, noisy-neighbor detection.\n\n - Design the capacity and placement engine: PCIe-topology-aware, NUMA-aware, failure-domain-aware. On our platforms a drive behind the same PCIe switch as the GPU it serves beats a faster drive on a different root port, and the control plane needs to know that.\n\n - Instrument everything: SLI/SLO definitions, fleet-wide performance regression detection, and the observability pipeline that makes a petabyte fleet debuggable at 3 a.m.\n\nYou\n\n - Bachelor's or Master's degree in Computer Science or a related field.\n\n - 5+ years of experience in software development for storage systems.\n\n - Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.\n\n - Strong programming skills in languages such as C, C++, Go, or Python.\n\n - Experience with Linux kernel internals and system-level programming.\n\n - Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.\n\n - Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.\n\n - Familiarity with CI/CD and QA practices for distributed systems development environments.\n\nNice to Have\n\n - Experience with AI/ML workloads and the unique storage challenges they present.\n\n - Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).\n\n - Experience with performance tuning and optimization of storage systems.\n\n - Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.\n\n - Production experience with VAST Data, WEKA, DDN, Pure, NetApp, or IBM Storage Scale.\n\n - Ceph at 100 PB+ in HPC or AI environments.\n\n - CXL memory pooling, computational storage, ZNS SSDs, EDSFF.\n\n - Published or presented at SNIA SDC, FAST, USENIX ATC, LSFMM+BPF, OCP, SC, or similar.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"7e26ae22-0ecb-4de0-bb9f-7dff3ab39371","title":"Senior Incident Manager","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Remote, USA","secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-06-03T22:17:46.163+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7e26ae22-0ecb-4de0-bb9f-7dff3ab39371","applyUrl":"https://jobs.ashbyhq.com/lambda/7e26ae22-0ecb-4de0-bb9f-7dff3ab39371/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

We are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.

 

Role Overview

The Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.

This role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.

 

What You’ll Do

Incident Leadership

Incident Management Operations

Cross-Functional Coordination

Post-Incident Analysis & Continuous Improvement

Operational Excellence

Communication & Reporting

You

Nice to Have

Key Competencies

What Success Looks Like in This Role

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nWe are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.\n\n \n\nRole Overview\n\nThe Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.\n\nThis role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.\n\n \n\nWhat You’ll Do\n\nIncident Leadership\n\n - Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.\n\n - Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams.\n\n - Act as the liaison between leadership and external teams during incidents / post-incidents to provide updates and status summaries.\n\n - Establish clear incident timelines, triage actions, and resolution plans.\n\nIncident Management Operations\n\n - Own the incident response lifecycle including:\n \n - Assisting Technical Triage\n \n - Escalation\n \n - Coordination\n \n - Resolution\n Post-incident review\n\n - Ensure timely and accurate communication with internal stakeholders and leadership.\n\n - Maintain incident response documentation and operational playbooks.\n\n - Conduct analysis on incidents and identify patterns / trends for improvement in response and systems reliability.\n\n - Work in an On-Call Rotation to respond to, lead, and coordinate incidents\n\nCross-Functional Coordination\n\n - Work closely with:\n \n - Data center operations\n \n - Infrastructure engineering & operations\n \n - Network engineering\n \n - Platform reliability engineering\n \n - Security operations\n \n - Hardware and facility vendors\n\n - Drive alignment during outages involving multiple infrastructure layers.\n\nPost-Incident Analysis & Continuous Improvement\n\n - Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.\n\n - Track incident metrics including MTTR, MTTD, and incident recurrence rates.\n\nOperational Excellence\n\n - Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams..\n\n - Contribute to runbooks, operational standards, and reliability frameworks.\n\n - Support implementation of automation and observability improvements.\n\nCommunication & Reporting\n\n - Provide executive-level incident summaries and reports.\n\n - Deliver clear, concise updates during active incidents.\n\n - Maintain incident dashboards and operational health reporting.\n\nYou\n\n - 8+ years experience in incident management, site reliability engineering, or infrastructure operations\n\n - Experience managing incidents in large-scale distributed infrastructure environments\n\n - Strong understanding of:\n \n - Data center operations\n \n - GPU compute clusters\n Networking and storage infrastructure\n \n - Cloud or hybrid infrastructure platforms\n\n - Proven ability to lead high-pressure incident response situations\n\n - Experience with incident management frameworks (ITIL, SRE, or equivalent)\n\n - Excellent communication and stakeholder management skills\n\n - Experience with incident tracking and monitoring tools such as:\n \n - PagerDuty\n \n - ServiceNow\n \n - Jira\n \n - Datadog\n \n - Prometheus / Grafana\n\nNice to Have\n\n - Experience operating AI or HPC infrastructure\n\n - Background in SRE, infrastructure engineering, or data center operations\n\n - Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)\n\n - Experience with hyperscale or colocation data center environments\n\n - Knowledge of automation and incident response tooling\n\n - Knowledge of and experience with Incident command system (ICS)\n\n - Experience in leading and developing incident command from stractch\n\nKey Competencies\n\n - Incident Command & Leadership\n\n - Operational Decision Making\n\n - Cross-Team Coordination\n\n - Root Cause Analysis\n\n - Crisis Communication\n\n - Infrastructure Reliability\n\nWhat Success Looks Like in This Role\n\n - Reduced Mean Time to Resolution (MTTR) for critical incidents\n\n - Improved cross-team incident coordination\n\n - High-quality post-incident reviews and corrective actions\n\n - Increased infrastructure reliability and operational maturity\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"904bd81c-7826-4728-a597-9138cd812c8f","title":"AI Operations Engineer - IT/Internal Infrastructure","department":"Data Center Business","team":"IT","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-08-10T22:29:32.591+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/904bd81c-7826-4728-a597-9138cd812c8f","applyUrl":"https://jobs.ashbyhq.com/lambda/904bd81c-7826-4728-a597-9138cd812c8f/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco of San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday

Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco of San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday\n\nInformation Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.\n\n\n\nWhat You’ll Do\n\n - Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms.\n\n - Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events.\n\n - Work with Lambda Engineering and internal teams to Influence and create new designs, architectures, standards, and methods for large-scale distributed systems.\n\n - Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning.\n\n - Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for.\n\nYou\n\n - Have a keen interest in system design, architecting for performance, scalability, and experience with multiple cloud infrastructure platforms (AWS, GCP, Azure, etc.).\n\n - Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations.\n\n - Know and prefer configuration management systems and toolchains (Chef, Ansible, Terraform, GitHub Actions, etc.)\n\n - Have solid programming skills: Python, Go, etc.\n\n - Have an urge to collaborate and communicate asynchronously, combined with a desire to record and document issues and solutions.\n\n - Have an enthusiastic, go-for-it attitude. When you see something broken, you can’t help but fix it.\n\n - Have an urge for delivering quickly and effectively, and iterating fast.\n\nNice to Have\n\n - Experience and interest in ML/AI workloads and compute\n\n - Practical experience implementing and managing paging, alerting, and on-call scheduling flows\n\n - A positive attitude, combined with a desire to learn and collaborate\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"83e77f46-c393-47ae-83ed-db4b0daf6e18","title":"HPC Support Engineer","department":"Data Center Business","team":"Customer Support","employmentType":"FullTime","location":"Remote, USA","secondaryLocations":[],"publishedAt":"2026-08-21T16:35:11.378+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/83e77f46-c393-47ae-83ed-db4b0daf6e18","applyUrl":"https://jobs.ashbyhq.com/lambda/83e77f46-c393-47ae-83ed-db4b0daf6e18/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

This position is expected to participate in an on-call rotation.

What You’ll Do

You

Nice to Have

Salary Range Information

This is a salaried exempt role. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nThis position is expected to participate in an on-call rotation.\n\n\n\nWhat You’ll Do\n\n - Serve as a senior technical escalation point, troubleshooting the hardest infrastructure and platform issues down to the hardware, driver, or kernel level when needed\n\n - Quickly and accurately distinguish between hardware failures, driver issues, kernel-level problems, and customer workload misconfiguration, so issues get resolved correctly the first time\n\n - Proactively identify process, tooling, and documentation gaps, and go fix them, not just wait for them to be assigned\n\n - Use AI tools effectively to build scripts, automations, or small internal tools that close real operational gaps (no professional development background required)\n\n - Perform root-cause analysis across distributed systems, clusters, and GPU infrastructure\n\n - Craft clear documentation of solutions and contribute to evolving support procedures\n\n - Collaborate closely with engineering teams to turn recurring customer pain points into permanent fixes\n\n - Take escalations from peers while training and mentoring them in the process\n\n - Participate in a rotating on-call schedule, owning major incidents and major customer issues\n\n - Be ready to roll up your sleeves and pitch in wherever needed, especially during fast, high-volume deployments\n\n\n\nYou\n\n - 3+ years of hands-on HPC experience in an administration, support, or engineering role.\n\n - Very strong understanding and experience supporting Linux in a system administration role.\n\n - Proven experience in HPC environments, showcasing your expertise in Linux cluster administration, with strong preference for Kubernetes and/or Slurm for cluster orchestration.\n\n - Strong coding ability and CI/CD experience, with a track record of using AI-assisted tools to move fast.\n\n - Proficiency with monitoring/logging tools (Prometheus, Grafana, Datadog).\n\n - Strong skills in log analysis, debugging kernel-level issues, and performance profiling.\n\n - Experience with CUDA, NCCL, NVLink, GPUDirect RDMA.\n\n - Experience with high throughput networking technologies(IB/RoCE).\n\n - Knowledge of distributed AI/ML or HPC workloads.\n\n - Knowledge of TCP/IP, VPN, and firewalls in cloud environments.\n\n - Ability to work independently and mentor junior support engineers.\n\nNice to Have\n\n - Experience with virtualization and container (Docker, Kubernetes) technologies.\n\n - Experience with neoclouds/GPU cloud providers.\n\n - Flexible availability for potential shifts outside of normal working hours/weekends.\n\n - Experience with high performance storage systems.\n\n - Familiarity with infrastructure-as-code tools (Terraform, Ansible, etc.)\n\n - Experience with Nvidia GPUs and Infiniband.\n\nSalary Range Information\n\nThis is a salaried exempt role. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"e5453baf-d2ec-43d1-9d3b-8fb3d5cdc9d1","title":"Security Engineer","department":"Data Center Business","team":"Security","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-07-16T19:55:46.631+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e5453baf-d2ec-43d1-9d3b-8fb3d5cdc9d1","applyUrl":"https://jobs.ashbyhq.com/lambda/e5453baf-d2ec-43d1-9d3b-8fb3d5cdc9d1/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

Lambda Security protects some of the world's most valuable digital assets: training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best-of-breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.

As a Security Engineer at Lambda, you'll touch many areas across the security program such as building detections, hardening infrastructure, reviewing designs, automating toil, and responding to incidents. Reporting to the Head of Security and partnering closely with Product Engineering, Data Center Operations and Engineering, IT, and embedded Technical Program Managers, your work shapes the security posture customers rely on.

Security at Lambda directly enables customer trust and unlocks enterprise revenue. Our customers run billion-dollar training jobs and irreplaceable model weights on our infrastructure; our job is to make Lambda the safest place to build with AI. Over the next 12-18 months, you'll help deliver our 2026 security roadmap, expand detection coverage for AI-specific threats, help mature our incident response program, and ship security automation that other engineering teams adopt voluntarily. You'll also have direct access to LLMs hosted on Lambda's own infrastructure to push security operations beyond what's possible elsewhere.

Security is a broad field, and we don't expect you to be an expert in everything our team does, but we do expect you to learn quickly, ship across domains, and support the specialists around you. If you enjoy moving between detection, architecture, and platform work and want to build security alongside the engineers you're protecting rather than from the outside then we'd love to talk.

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.

What You'll Do

What We Think a Candidate Needs to Demonstrate to Succeed

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nAbout the Role\n\nLambda Security protects some of the world's most valuable digital assets: training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best-of-breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.\n\n\n\nAs a Security Engineer at Lambda, you'll touch many areas across the security program such as building detections, hardening infrastructure, reviewing designs, automating toil, and responding to incidents. Reporting to the Head of Security and partnering closely with Product Engineering, Data Center Operations and Engineering, IT, and embedded Technical Program Managers, your work shapes the security posture customers rely on.\n\n\n\nSecurity at Lambda directly enables customer trust and unlocks enterprise revenue. Our customers run billion-dollar training jobs and irreplaceable model weights on our infrastructure; our job is to make Lambda the safest place to build with AI. Over the next 12-18 months, you'll help deliver our 2026 security roadmap, expand detection coverage for AI-specific threats, help mature our incident response program, and ship security automation that other engineering teams adopt voluntarily. You'll also have direct access to LLMs hosted on Lambda's own infrastructure to push security operations beyond what's possible elsewhere.\n\n\n\nSecurity is a broad field, and we don't expect you to be an expert in everything our team does, but we do expect you to learn quickly, ship across domains, and support the specialists around you. If you enjoy moving between detection, architecture, and platform work and want to build security alongside the engineers you're protecting rather than from the outside then we'd love to talk.\n\n\n\nWe value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.\n\n\n\nWhat You'll Do\n\n - Build and Tune Detections: Develop and refine detection content across our SIEM and EDR to catch threats targeting customer data, model weights, and infrastructure.\n\n - Respond to Incidents: Participate in on-call, lead investigations end-to-end, and turn each incident into automation, playbooks, or controls that prevent the next one.\n\n - Harden Systems Directly: Remediate vulnerabilities and security findings in production, partnering with engineering teams when fixes cross team boundaries.\n\n - Review Architectures and Code: Provide actionable security feedback on high-level designs and individual changes, and turn recurring review patterns into reusable standards.\n\n - Build Security Tooling: Ship Python or Go services that automate evidence collection, vulnerability triage, and other toil, using Lambda's hosted LLMs where they meaningfully accelerate the work.\n\n - Partner Across Engineering: Work with Product Engineering, Data Center Operations and Engineering, IT, and Legal to land security improvements at the moments they're cheapest to adopt.\n\n - Balance Strategic and Tactical: Recognize when to invest in a long-term fix versus when \"good enough\" is exactly that, and bias toward measurable forward progress.\n\nWhat We Think a Candidate Needs to Demonstrate to Succeed\n\n - 5+ years of demonstrated security engineering experience, either directly as a security engineer or as an engineer driving security outcomes. We also welcome equivalent backgrounds: significant formal security training paired with strong engineering experience.\n\n - A track record of working across security domains; for example, shipping detection work in one role and architecture, platform, or vulnerability management work in another. We don't expect mastery of every domain; we do expect demonstrated breadth and eagerness to learn.\n\n - Thrives in high-speed, high-ambiguity startup environments where priorities shift regularly and structure must be built while executing.\n\n - Strong hands-on Linux experience that showcases your ability to protect both our applications and the cloud we build underneath them.\n\n - Comfortable solving problems in Python, Go, or a similar language, with the discipline to ship production-grade tooling rather than only one-off scripts.\n\n - Excellent collaboration with technical teams both with and without authority (we're all on the same team!).\n\nNice to Have\n\n - You've led or developed a meaningful component of a security program (detection & response, security architecture, platform/tooling, vulnerability management, GRC operations, etc.).\n\n - Experience driving or providing significant evidence for compliance audits such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.\n\n - Significant experience operating large-scale production services (e.g., SRE across thousands of hosts) or with virtualization at scale (KVM, Hyper-V, Xen).\n\n - You've built or deployed critical security infrastructure such as SIEM, SOAR, EDR, IDS/IPS, or canary/honeypot systems.\n\n - Experience with AI/ML infrastructure security, model security, or protecting high-value computational workloads.\n\n - Enthusiasm about leveraging direct access to state-of-the-art LLMs to push security operations beyond the status quo, including through automated triage, intelligent alert correlation, AI-assisted code review.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"f75558dd-c1d6-49ee-933d-47fa71963ebe","title":"Senior Accountant - Fixed Assets","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","secondaryLocations":[{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-06-29T19:23:16.935+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f75558dd-c1d6-49ee-933d-47fa71963ebe","applyUrl":"https://jobs.ashbyhq.com/lambda/f75558dd-c1d6-49ee-933d-47fa71963ebe/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\n - Own the end-to-end fixed asset lifecycle: capitalization, transfers, disposals, write-offs, tagging and impairment assessments in accordance with US GAAP (ASC 360).\n\n - Maintain and reconcile the fixed asset subledger, ensuring accuracy and completeness against the general ledger.\n\n - Calculate and record monthly depreciation for all asset classes (GPU hardware, data center infrastructure, leasehold improvements, furniture & fixtures, and software).\n\n - Partner with Supply Chain and DC Ops teams to evaluate capital vs. expense treatment for new hardware and infrastructure purchases.\n\n - Prepare and review fixed asset roll-forward schedules, depreciation schedules, cash flow schedules, and supporting documentation for monthly and quarterly close.\n\n - Support external audit requests related to fixed assets, including providing schedules, reconciliations, and explanations of accounting positions.\n\n - Assist in the development and enforcement of the company’s capitalization policy and related accounting procedures.\n\n - Identify and implement process improvements to the fixed asset tracking and close processes, leveraging automation where possible.\n\n - Collaborate with Tax to provide fixed asset data for tax depreciation schedules and support tax provision work.\n\n - Assist in financial statement disclosures related to PP&E as part of the quarterly and annual reporting process.\n\nYou\n\n - Have 5+ years of fixed asset or general ledger accounting experience, with at least 2 years in a high-growth technology or infrastructure company.\n\n - Have strong working knowledge of US GAAP, including ASC 360 (PP&E), ASC 350-40 (internal-use software), and ASC 842 (leases).\n\n - Have experience with ERP systems (e.g., NetSuite, SAP, or Oracle); experience with fixed asset subledger modules is a plus.\n\n - Bring strong analytical skills with a high degree of attention to detail and accuracy.\n\n - Have a proven ability to manage multiple priorities and meet tight deadlines in a fast-paced environment.\n\n - Are an effective communicator who can clearly explain accounting concepts to non-accounting stakeholders.\n\nNice to Have\n\n - Experience in a hardware-intensive technology company (data centers, cloud infrastructure, semiconductors, or similar).\n\n - Familiarity with GPU or compute hardware procurement and asset tracking.\n\n - Experience with FloQast or a similar close management tool.\n\n - Prior involvement in audit readiness or preparation for an IPO or fundraising process.\n\n - Hold a CPA license or are on the CPA track. \n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"698f2617-e44c-4b3a-a8cd-9b7e38923932","title":"Senior Finance Systems Architect (Bangalore, India)","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"Bangalore, India","secondaryLocations":[],"publishedAt":"2026-07-09T22:43:08.266+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"India"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/698f2617-e44c-4b3a-a8cd-9b7e38923932","applyUrl":"https://jobs.ashbyhq.com/lambda/698f2617-e44c-4b3a-a8cd-9b7e38923932/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.


Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.


About the Role

We are seeking an experienced Business Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions.

Your responsibilities will include architecting end-to-end solutions, managing complex system integrations, running enterprise system enhancements. This role requires excellent business acumen and deep technical expertise, and a proactive approach to solving business challenges.

What You’ll Do

What We’re Looking For:

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\nInformation Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.\n\n\nAbout the Role\n\nWe are seeking an experienced Business Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions.\n\nYour responsibilities will include architecting end-to-end solutions, managing complex system integrations, running enterprise system enhancements. This role requires excellent business acumen and deep technical expertise, and a proactive approach to solving business challenges.\n\n\nWhat You’ll Do\n\n - Solution Design & Implementation: Architect and deploy advanced workflows, scripts, configurations, and modules in enterprise platforms like NetSuite, Coupa, Stripe, and Chargebee.\n\n - Integration & Automation: Manage integrations and optimize iPaaS tools (e.g., Workato, Mulesoft) to ensure seamless data flow, interoperability, and automated processes across platforms.\n\n - Compliance & Optimization: Ensure SOX compliance through robust internal controls, system audits, and governance while driving continuous system improvements.\n\n - Support & Analytics: Troubleshoot complex issues, and deliver actionable insights through advanced reporting and dashboards to support decision-making.\n\nWhat We’re Looking For:\n\n - Experience & Certification:\n \n - 8+ years of experience in business systems architecture or administration, including hands-on implementation of enterprise systems.\n \n - Strong understanding of Finance technology stacks, including NetSuite, Coupa, Supply Chain, Asset Management, Billing systems and related business applications\n \n - Certifications in relevant platforms (e.g., NetSuite Administrator, iPaaS) strongly preferred.\n\n - Technical Expertise:\n \n - Proficiency in languages like JavaScript/SQL/ HTML/CSS/Python.\n \n - Strong experience with middleware and low/no-code platforms (e.g., Workato, n8n, Mulesoft, Alteryx) for system integrations & workflow automations.\n \n - Demonstrated success in deploying process automation tools to streamline operations and increase efficiency.\n \n - Experience with CI/CD tools (e.g., Git, Jenkins) in the context of NetSuite development.\n \n - Proficiency in managing API integrations between NetSuite and external systems using REST, SOAP, and other protocols.\n \n - Background in Agile/Scrum project management methodologies.\n \n - Experience working in multi-subsidiary, multi-currency environments.\n\n - Compliance & Controls:\n \n - Strong knowledge of ITGCs (IT General Controls) and SOX compliance.\n\n - Leadership & Communication:\n \n - Excellent communication skills to effectively collaborate across all levels of leadership from technical staff to senior executives.\n \n - Proven ability to present complex technical solutions in a clear and compelling manner\n\n - AI Automation & Development\n \n - Hands-on experience leveraging AI and machine learning tools to design, build, and deploy intelligent automation solutions that enhance business processes.\n \n - Proficiency with AI-powered platforms and frameworks (e.g., OpenAI, Anthropic, LangChain, or similar) to develop custom workflows, copilots, and agentic solutions.\n \n - Proven ability to identify high-impact automation opportunities and translate them into scalable AI-driven implementations across finance and enterprise systems.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"20599b39-8482-4852-a955-f279bbb5463f","title":"Senior Software Engineer - Infrastructure Storage","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-07-16T23:04:41.322+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/20599b39-8482-4852-a955-f279bbb5463f","applyUrl":"https://jobs.ashbyhq.com/lambda/20599b39-8482-4852-a955-f279bbb5463f/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday.

In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.

The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.

Our expertise lies at the intersection of:

AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).

We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure.

What You’ll Do:

You Have:

Nice to Have

Salary Range Information

Based on market data and other factors, the annual salary range for this position is. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday.\n\n\n\nIn the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.\n\nThe Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.\n\nOur expertise lies at the intersection of:\n\n - High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.\n\n - Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.\n\n - Compute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.\n\nAI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).\n\nWe're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure.\n\n\nWhat You’ll Do:\n\n - Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.\n\n - Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.\n\n - Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.\n\n - Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-direct storage.\n\n - Troubleshoot and debug complex issues in a production data center environment.\n\n - Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.\n\nYou Have:\n\n - Bachelor's or Master's degree in Computer Science or a related field.\n\n - 5+ years of experience in software development for storage systems.\n\n - Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.\n\n - Strong programming skills in languages such as C, C++, Go, or Python.\n\n - Deep understanding of storage protocols, including:\n \n - File: NFS, SMB, Lustre\n \n - Block: iSCSI, Fibre Channel\n \n - Object: S3, Swift\n\n - Experience with Linux kernel internals and system-level programming.\n\n - Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.\n\n - Familiarity with CI/CD and QA practices for distributed systems development environments.\n\nNice to Have\n\n - Experience with AI/ML workloads and the unique storage challenges they present.\n\n - Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).\n\n - Experience with performance tuning and optimization of storage systems.\n\n - Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.\n\nSalary Range Information \n\nBased on market data and other factors, the annual salary range for this position is. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"c4e731d0-5497-46ee-99c9-744b7b689519","title":"Senior Salesforce Developer/Architect (Bangalore, India)","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"Bangalore, India","secondaryLocations":[],"publishedAt":"2026-07-01T21:57:38.421+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"India"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/c4e731d0-5497-46ee-99c9-744b7b689519","applyUrl":"https://jobs.ashbyhq.com/lambda/c4e731d0-5497-46ee-99c9-744b7b689519/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

About the Role

We’re looking for a Senior Salesforce Developer to lead the development, optimization, and scalability of our Salesforce ecosystem, with a strong focus on Sales Cloud, Revenue Cloud, integrations, and the end-to-end Lead-to-Cash lifecycle. This role requires a hands-on technical expert who can partner closely with GTM, Product, and Engineering teams to build solutions that drive business impact and operational efficiency.

What You’ll Do

What We’re Looking For

Nice to Have

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nAbout the Role\n\nWe’re looking for a Senior Salesforce Developer to lead the development, optimization, and scalability of our Salesforce ecosystem, with a strong focus on Sales Cloud, Revenue Cloud, integrations, and the end-to-end Lead-to-Cash lifecycle. This role requires a hands-on technical expert who can partner closely with GTM, Product, and Engineering teams to build solutions that drive business impact and operational efficiency.\n\n\nWhat You’ll Do\n\n - Design & Develop: Build scalable Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, and platform-native capabilities to optimize business processes and user experience.\n\n - Lead-to-Cash Expertise: Architect and support solutions across the full GTM lifecycle, from lead management and opportunity tracking through quoting, billing, revenue recognition, and renewals.\n\n - Revenue Cloud: Design, develop, and support Salesforce Revenue Cloud (ARM) solutions to improve operational efficiency and user adoption.\n\n - Integrations & Automation: Build and maintain integrations between Salesforce and business systems (e.g., NetSuite, HubSpot, LeanData, ZoomInfo, Sales Navigator) using APIs, middleware, and iPaaS platforms such as Workato.\n\n - Salesforce AI & Agentforce: Design, develop, and deploy Salesforce AI solutions, including Agentforce, Data Cloud, AI-powered workflows, agents, and automations that improve productivity, decision-making, and customer engagement.\n\n - DevOps, Change Management & Release Management: Implement CI/CD best practices using SFDX, GitHub, VS Code, and tools such as Gearset or Copado to streamline development, change management, testing, and deployments while supporting governance and audit requirements.\n\n - Best Practices & Governance: Drive Salesforce architecture standards, development best practices, and platform governance while advising stakeholders on scalable solutions.\n\n - Security & Compliance: Ensure data integrity, security, and compliance with regulatory requirements including GDPR and SOX.\n\n - Cross-Functional Partnership: Collaborate with Revenue Operations, Sales, Marketing, Customer Success, Product, and Engineering teams to translate business requirements into technical solutions.\n\n - Technical Leadership: Establish development standards, mentor team members, conduct code reviews, and help drive Salesforce platform strategy across the organization.\n\nWhat We’re Looking For\n\n - 8+ years of Salesforce development experience, with deep expertise in Sales Cloud, Apex, Lightning Web Components (LWC), and Flows.\n\n - Strong experience with Lead-to-Cash processes, including sales automation, CPQ, billing, revenue operations, and renewals.\n\n - Hands-on experience with Salesforce Revenue Cloud and Advanced Revenue Management (ARM).\n\n - Experience integrating Salesforce with GTM and business systems using APIs, middleware, and iPaaS platforms such as Workato or MuleSoft.\n\n - Familiarity with GTM technologies including HubSpot, Marketo, LeanData, ZoomInfo, and Sales Navigator.\n\n - Experience with Salesforce DevOps tools and practices, including SFDX, Git, VS Code, CI/CD, Gearset, or Copado.\n\n - Experience supporting Salesforce environments subject to SOX controls, including change management, release governance, and audit readiness.\n\n - Strong understanding of Sales, Marketing, Customer Success, and Revenue Operations processes.\n\n - Ability to communicate effectively with technical and business stakeholders and translate requirements into scalable solutions.\n\n - Ability to explain Salesforce best practices, industry standards, and the tradeoffs of deviating from standard platform functionality.\n\n - Strong problem-solving skills and experience working cross-functionally with Product and Engineering teams.\n\n - Required Salesforce certification: Platform Developer II, Application Architect, or System Architect. Candidates must hold at least one active certification.\n\nNice to Have\n\n - Experience with Salesforce Revenue Operations and enterprise quote-to-cash processes.\n\n - Experience building AI-powered applications and agentic workflows using OpenAI, Claude, AWS, React, Vercel, and other modern AI technologies and frameworks.\n\n - Experience in high-growth SaaS or startup environments.\n\n - Experience supporting enterprise sales organizations.\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"35c68922-7d43-430c-83f4-86690dbff216","title":"Senior Software Engineer - Core Cloud Platform","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-28T17:19:37.897+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/35c68922-7d43-430c-83f4-86690dbff216","applyUrl":"https://jobs.ashbyhq.com/lambda/35c68922-7d43-430c-83f4-86690dbff216/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco/San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

As a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build the control-plane systems that power Lambda’s GPU cloud. The team owns core platform capabilities across compute lifecycle, bare metal orchestration, maintenance actions, deployment readiness, reliability, and operational tooling.

You will work on systems that turn physical GPU infrastructure into reliable, customer-facing cloud capacity: APIs, workflows, orchestration layers, schedulers, and operational surfaces for instance lifecycle, host reclaim, validation, maintenance, and safe regional deployments.

This role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working close to the hardware/software boundary.

What You’ll Do

You May Be a Good Fit If You

Nice-to-Haves

You Will Be Successful in This Role If You

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco/San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nAbout the Role\n\nAs a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build the control-plane systems that power Lambda’s GPU cloud. The team owns core platform capabilities across compute lifecycle, bare metal orchestration, maintenance actions, deployment readiness, reliability, and operational tooling.\n\nYou will work on systems that turn physical GPU infrastructure into reliable, customer-facing cloud capacity: APIs, workflows, orchestration layers, schedulers, and operational surfaces for instance lifecycle, host reclaim, validation, maintenance, and safe regional deployments.\n\nThis role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working close to the hardware/software boundary.\n\n\n\nWhat You’ll Do\n\n - Build and operate core cloud platform services for compute lifecycle, bare metal hosts, capacity, placement, and maintenance workflows.\n\n - Design reliable APIs, backend services, state machines, and orchestration systems that power Lambda’s GPU cloud.\n\n - Work on bare metal lifecycle systems including launch, terminate, restart/reboot, host reclaim, validation, quarantine, and return-to-pool workflows.\n\n - Improve deployment, observability, testing, alerting, runbooks, and operational readiness for business-critical control-plane services.\n\n - Debug complex production issues across distributed services, infrastructure dependencies, networking, and cloud workflows.\n\n - Partner with infrastructure, networking, fleet, security, support, and product teams to define cross-system contracts and deliver end-to-end cloud capabilities.\n\n - Contribute to architecture, design docs, code reviews, incident follow-through, and mentoring across the team.\n\nYou May Be a Good Fit If You\n\n - Bachelor's degree or equivalent working experience.\n\n - Have 6+ years of professional software engineering experience building production backend or distributed systems.\n\n - Are strong in Python, Go, or a similar backend/system language.\n\n - Have experience designing and operating APIs, workflow engines, schedulers, orchestration services, or other distributed systems.\n\n - Understand reliability fundamentals: fault tolerance, idempotency, retries, state machines, failure handling, and production debugging.\n\n - Have experience with cloud or cloud-like infrastructure primitives such as compute, networking, storage, capacity management, identity, or fleet operations.\n\n - Are comfortable with Linux, containers, Kubernetes, infrastructure automation, and service deployment patterns.\n\n - Have owned production services, participated in on-call, and improved systems based on operational learnings.\n\n - Care about testability, CI/CD, observability, metrics, logging, alerting, and supportable operations.\n\n - Can take ambiguous infrastructure problems and drive them to clear designs, implementation plans, and production outcomes.\n\n - Communicate clearly across engineering, product, support, infrastructure teams, and leadership.\n\n\n\nNice-to-Haves\n\n - Experience building cloud control planes, compute platforms, schedulers, or infrastructure orchestration systems.\n\n - Experience with bare metal, GPU infrastructure, HPC, Kubernetes, Slurm, or large-scale AI/ML infrastructure.\n\n - Experience with host lifecycle, provisioning, validation, firmware, BMC/Redfish, fleet management, or maintenance workflows.\n\n - Familiarity with Temporal, Airflow, event-driven systems, or durable workflow orchestration.\n\n - Networking experience with VPCs, firewalls, SDN, InfiniBand, routing, or distributed systems networking.\n\n - Security-minded engineering experience, including identity, authorization, audit logging, attestation, or tenant isolation.\n\n\n\nYou Will Be Successful in This Role If You\n\n - Enjoy building foundational cloud systems where correctness, reliability, and operational clarity matter.\n\n - Are comfortable working across product, infrastructure, fleet, networking, security, and support boundaries.\n\n - Can break down ambiguous platform problems into concrete APIs, workflows, contracts, and implementation plans.\n\n - Care deeply about production behavior, not just code completion.\n\n - Move fast while maintaining high standards for reliability, testability, and supportability.\n\n - Communicate clearly and proactively, especially when risks, dependencies, or tradeoffs are unclear.\n\n - Want to help build the cloud platform layer for large-scale AI infrastructure.\n\n\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"ee0998db-4bc2-44ea-9eee-4546109e4c3d","title":"Senior Site Reliability Engineer - SDN","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-07-07T01:11:57.823+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/ee0998db-4bc2-44ea-9eee-4546109e4c3d","applyUrl":"https://jobs.ashbyhq.com/lambda/ee0998db-4bc2-44ea-9eee-4546109e4c3d/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What You'll Do

You

Nice To Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\n*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\n\n\nWhat You'll Do\n\n - Operate and scale Lambda’s multi-tenant cloud networking platform and SDN infrastructure\n\n - Operate and improve Kubernetes-based control plane services and dataplane software running on SmartNICs\n\n - Develop tooling and automation to reduce operational toil and improve reliability\n\n - Collaborate with software, platform, and networking teams to improve service reliability and deployment workflows\n\n - Deploy and maintain network monitoring, observability, and management tools\n\n - Improve deployment safety through CI/CD pipelines, GitOps workflows, testing, and progressive rollouts\n\n - Drive operational excellence through observability, incident management, capacity planning, postmortems, and participation in the on-call rotation\n\nYou\n\n - Have 5+ years of experience in Site Reliability Engineering, Production Engineering, or a similar role\n\n - Have experience operating and supporting large-scale distributed systems in production\n\n - Have experience with Kubernetes application lifecycle management, upgrades, troubleshooting, and production operations\n\n - Have experience participating in on-call rotations and incident response\n\n - Have strong troubleshooting skills across Linux systems, Kubernetes, distributed systems, and networking\n\n - Have experience with observability platforms, monitoring, alerting, and metrics\n\n - Are comfortable working on the Linux command line and have a solid understanding of the Linux networking stack\n\n - Have experience with multi-datacenter and hybrid cloud environments\n\n - Have experience automating infrastructure and operational workflows using Python, Ansible, or similar tools\n\n - Have experience designing and operating CI/CD and GitOps deployment workflows\n\nNice To Have\n\n - Experience building and operating Software Defined Networks (SDN), including OpenStack Neutron, OVN, and OVS\n\n - Experience operating production-scale SDNs in a cloud environment (e.g., infrastructure powering AWS VPC-like networking services)\n\n - Software development experience in Go and/or Python (C is a plus)\n\n - Experience automating infrastructure and network configuration using Kubernetes, Helm, Terraform, and Ansible\n\n - Deep understanding of the Linux networking stack and its interaction with network virtualization technologies, SR-IOV, and DPDK\n\n - Understanding of the SDN ecosystem and modern cloud networking architectures\n\n - Experience diagnosing complex production issues across infrastructure, networking, and application layers\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"9b0cf272-e690-4213-828f-1a1ed508b53c","title":"Senior Site Reliability Engineer - Managed Kubernetes","department":"Data Center Business","team":"Managed Orchestration","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-08-14T19:28:25.355+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/9b0cf272-e690-4213-828f-1a1ed508b53c","applyUrl":"https://jobs.ashbyhq.com/lambda/9b0cf272-e690-4213-828f-1a1ed508b53c/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.


What You’ll Do

You

Nice To Have

Why Join Us

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\n\nWhat You’ll Do\n\n - Operate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes\n\n - Handle cluster degradation, recovery, resizing, and incident response using fleet management tools\n\n - Participate in a well-managed on-call rotation for critical incidents\n\n - Assist customers with Kubernetes questions, workload integration, storage, and authentication\n\n - Work closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issues\n\n - Use Python and Golang to create tooling and automate the validation of platform quality.\n\n - Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes\n\n - Develop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion.\n\n - Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability.\n\nYou\n\n - 6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systems\n\n - Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators\n\n - Proven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)\n\n - Can work either independently with limited direction or as part of a team\n\n - Can work with customers during incidents either via tickets, live messaging, or as part of a larger call.\n\n - Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines\n\n - Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar\n\nNice To Have\n\n - Deep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience\n\n - Exposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters\n\n - Hybrid or multi-cloud Kubernetes environment experience\n\n - Contributions to CNCF projects or Kubernetes SIGs\n\nWhy Join Us\n\n - Work on cutting-edge Managed Kubernetes platforms for AI/ML workloads\n\n - Influence the platform roadmap and help shape operations and reliability best practices\n\n - Collaborate with a highly skilled engineer\n\n - Opportunity to mentor and grow within a fast-growing, technology-driven environment\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"2c19c63d-5dd6-4b0a-a2af-5713da13d9c8","title":"Data Center Development & Infrastructure Finance Lead","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-10T23:54:29.260+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/2c19c63d-5dd6-4b0a-a2af-5713da13d9c8","applyUrl":"https://jobs.ashbyhq.com/lambda/2c19c63d-5dd6-4b0a-a2af-5713da13d9c8/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

Data Center Development Finance

Capacity Planning & Infrastructure Forecasting

Unit Economics & Cost Management

Budgeting, Forecasting & Performance Management

Executive Reporting & Communication

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\nData Center Development Finance\n\n - Lead financial modeling for all new data center development projects, including construction, power infrastructure, and network buildout\n\n - Own construction budgets, cost-to-complete forecasts, and contingency tracking\n\n - Monitor project performance against budget and schedule, identifying risks and mitigation plans\n\n - Model project-level returns (IRR, NPV, payback) and track performance vs underwriting\n\nCapacity Planning & Infrastructure Forecasting\n\n - Develop and maintain the multi-year infrastructure and capacity roadmap\n\n - Own capacity models, including supply, demand, and utilization forecasting\n\n - Identify capacity risks, including underbuild or overbuild scenarios\n\n - Develop commissioning and ramp assumptions for new infrastructure\n\n - Support executive decision-making on infrastructure investments and prioritization\n\nUnit Economics & Cost Management\n\n - Own the infrastructure cost model, including power, networking, maintenance, and depreciation inputs\n\n - Develop and maintain cost per compute / workload models\n\n - Produce gross margin forecasts and cost sensitivity analyses\n\n - Identify opportunities to improve efficiency and reduce cost per unit\n\nBudgeting, Forecasting & Performance Management\n\n - Own infrastructure CapEx and COGS budgets\n\n - Lead planning cycles for infrastructure and development spend\n\n - Deliver regular budget vs. actual (BvA) analysis for construction spend, infrastructure costs, capacity utilization, cost per unit, and present performance insights and recommendations to leadership\n\nExecutive Reporting & Communication\n\n - Deliver infrastructure and development insights for executive reviews and board materials\n\n - Translate complex technical and operational data into clear financial insights\n\n - Provide actionable recommendations to drive capital efficiency and margin improvement\n\nYou\n\n - Have a bachelor's degree in Finance, Accounting, Economics, or a related field\n\n - Have 7+ years in FP&A, infrastructure finance, investment banking, or related roles, ideally with a focus on Cloud / AI infrastructure, Data centers, Telecom, Energy, Hardware or industrials\n\n - Have direct experience with CapEx planning and capital allocation, Project or development finance, and Operating cost modeling\n\n - Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making\n\n - Have excellent analytical, strategic thinking, and decision-making skills\n\n - Possess strong Excel skills and experience with financial software systems\n\n - Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects\n\n - Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely\n\n - Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement\n\n - Are able to work in an ambiguous environment with very little direction\n\nNice to Have\n\n - Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"e01d8efc-4538-4616-8b42-d1bce63809df","title":"Senior Corporate FP&A Analyst","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-10T23:54:01.879+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e01d8efc-4538-4616-8b42-d1bce63809df","applyUrl":"https://jobs.ashbyhq.com/lambda/e01d8efc-4538-4616-8b42-d1bce63809df/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

Planning, Budgeting & Forecasting

Consolidation & Financial Reporting

OpEx & Headcount Planning

Budget vs Actuals (BvA) & Performance Analysis

Planning Systems & Data Management

Ad Hoc Analysis & Projects

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\nPlanning, Budgeting & Forecasting\n\n - Support the annual budgeting process and rolling forecast cycles\n\n - Coordinate inputs across:\n \n - Infrastructure Finance\n \n - Commercial / Functional Finance\n \n - SPV / Entity Finance\n\n - Maintain and update consolidated financial models\n\n - Ensure alignment of assumptions across teams\n\nConsolidation & Financial Reporting\n\n - Consolidate financial forecasts across all business units and SPVs\n\n - Support intercompany and elimination logic in the planning process\n\n - Produce consolidated views of Revenue, OpEx, CapEx, and Headcount\n\n - Assist in preparing executive and board-level reporting materials\n\nOpEx & Headcount Planning\n\n - Support company-wide OpEx planning and tracking, including:\n \n - G&A functions (Finance, Legal, HR, IT)\n \n - Shared services and overhead costs\n\n - Own and maintain headcount models: Hiring plans, Compensation assumptions, and Organizational changes\n\n - Track headcount vs plan and provide variance analysis\n\nBudget vs Actuals (BvA) & Performance Analysis\n\n - Prepare monthly and quarterly BvA reports\n\n - Analyze variances across Departments, Entities / SPVs, and Cost categories\n\n - Identify key drivers and partner with business teams to explain performance\n\nPlanning Systems & Data Management\n\n - Maintain and administer the company’s FP&A planning system\n\n - Support data integrity, model updates, and user access and training\n\n - Improve planning processes and automation where possible\n\nAd Hoc Analysis & Projects\n\n - Support long-range planning (LRP) and scenario modeling\n\n - Assist with special projects, including:\n \n - Cost optimization initiatives\n \n - Organizational planning\n \n - Process improvements\n\nYou\n\n - Have a bachelor's degree in Finance, Accounting, Economics, or a related field\n\n - Have 4+ years of experience in FP&A, corporate finance, consulting, or related roles, ideally with a focus on Cloud / AI infrastructure, Data centers, Telecom, Energy, Hardware or industrials\n\n - Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making\n\n - Have excellent analytical, strategic thinking, and decision-making skills\n\n - Possess strong Excel skills and experience with financial software systems\n\n - Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects\n\n - Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely\n\n - Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement\n\n - Are able to work in an ambiguous environment with very little direction\n\nNice to Have\n\n - Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments\n\n - Experience in capital-intensive or infrastructure-heavy industries\n\n - Familiarity with headcount and compensation planning\n\n - Exposure to SPVs or multi-entity structures\n\n - Corporate FP&A and / or public company experience\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"a7643768-bb94-4441-9295-64fefe233811","title":"Senior Analyst - Capital Markets & Corporate Development","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-15T21:24:21.606+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/a7643768-bb94-4441-9295-64fefe233811","applyUrl":"https://jobs.ashbyhq.com/lambda/a7643768-bb94-4441-9295-64fefe233811/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or upcoming New York City office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

As Lambda continues its rapid growth, we are expanding our capital markets and corporate development functions to drive strategic growth initiatives and partnerships, debt and equity capital raises, and M&A opportunities.

We are seeking a Corporate Development Senior Analyst to play a key role in managing and executing the company’s end-to-end acquisition and strategic investment activities. This high-impact role will collaborate cross-functionally to identify opportunities and execute transactions that support Lambda’s long-term vision.

What You’ll Do

You

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or upcoming New York City office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAs Lambda continues its rapid growth, we are expanding our capital markets and corporate development functions to drive strategic growth initiatives and partnerships, debt and equity capital raises, and M&A opportunities.\n\nWe are seeking a Corporate Development Senior Analyst to play a key role in managing and executing the company’s end-to-end acquisition and strategic investment activities. This high-impact role will collaborate cross-functionally to identify opportunities and execute transactions that support Lambda’s long-term vision.\n\nWhat You’ll Do\n\n - Support the identification, evaluation, and execution of M&A, strategic investments, debt and equity capital raises, and strategic partnerships to accelerate growth, enhance capabilities, strengthen the balance sheet, and expand market reach.\n\n - Lead financial modeling, valuation analysis, capital structure analysis, and due diligence for M&A transactions, strategic investments, and debt and equity financing activities.\n\n - Conduct strategic and financial evaluation of M&A, investment, and capital raising opportunities; communicate findings through business case memos, financing materials, and executive presentations.\n\n - Track industry trends, competitive dynamics, capital markets, and potential market opportunities to inform corporate development and financing strategy, while keeping stakeholders updated on the evolving ecosystem.\n\n - Develop investment theses, financing strategies, and market analyses to support strategic decision-making, capital allocation, and long-term growth.\n\n - Identify and cultivate strategic partnerships that enhance our product offerings, distribution channels, technology stack, and broader corporate growth objectives, including relationships with financial sponsors, lenders, investors, and strategic counterparties.\n\nYou\n\n - 2+ years of experience in investment banking, private equity, private credit, or venture capital, ideally with a focus on AI, cloud infrastructure, debt capital markets, and/or restructuring.\n\n - Strong financial modeling, valuation and analytical skills: specifically, experience building company models, merger models, or project finance / debt financing.\n\n - Strategic thinker with the ability to synthesize market data into actionable insights and drive high-impact decisions.\n\n - Excellent presentation and communication abilities, with experience presenting to executives and external stakeholders.\n\n - Ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects.\n\n - Deep interest in AI, cloud infrastructure, and emerging technology trends—prior experience in the machine learning or GPU computing space is a strong plus.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"5ac9889b-de69-4463-ac68-e1736f469966","title":"HRBP","department":"G&A","team":"HR","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-29T23:18:22.839+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/5ac9889b-de69-4463-ac68-e1736f469966","applyUrl":"https://jobs.ashbyhq.com/lambda/5ac9889b-de69-4463-ac68-e1736f469966/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

The People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.

 

What You’ll Do

You

Nice to Have

What Engineering Leaders Value in Their HRBP

Non-Negotiable Qualities

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nThe People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.\n\n \n\nWhat You’ll Do\n\n - Champion Culture and Values: Act as a key driver in promoting and integrating our culture, mission, values, and purpose across teams. Ensure these are embedded into all HR processes and initiatives, especially when it comes to hiring, performance management, and team dynamics.\n\n - Strategic HR Partnering: Provide HR partnership to high-performing engineering teams, with a strong focus on the team’s goals, business needs, and challenges. Become deeply embedded in team activities and dynamics, not just at the team level but across the organization. Engage in team meetings to stay informed and identify blind spots that impact team cohesion, performance, and morale.\n\n - Support Team Leadership: Act as a trusted advisor to team leaders, offering guidance on executing key initiatives and providing a fresh perspective on team dynamics and individual performance. Help leaders assess how their teams are working together, offering feedback on interpersonal relationships, conflict resolution, and ways to build a stronger team culture.\n\n - Execution of HR Strategy: Develop and execute HR strategies tailored to the unique needs of engineering teams, ensuring alignment with broader business objectives. Serve as a thought partner to leadership on how to optimize team performance through workforce planning, talent development, and succession planning.\n\n - Performance Management: Provide consistent performance management support to leaders, ensuring they are equipped to handle coaching, counseling, and career development. Actively monitor team performance and provide constructive feedback to help leaders make informed decisions on promotions, development, and performance improvement.\n\n - Talent Acquisition and Development: Take an active role in the hiring process, specifically in culture interviews, ensuring that new hires align with team values and bring the necessary talent to drive business success. Work with leaders to refine the interview process and raise the hiring bar across the organization.\n\n - Interpersonal Relationships and Conflict Resolution: Focus on understanding the interpersonal dynamics within teams. Use your high emotional intelligence (EQ) to coach individuals and teams on how to collaborate more effectively and resolve conflicts in a constructive way.\n\n - Organizational Debugging: Work closely with leadership to identify and address any organizational issues or inefficiencies that may hinder team performance. Challenge the status quo and bring common-sense, innovative solutions to improve organizational effectiveness.\n\n - Drive Values Through Leadership: Influence who is hired, promoted, and let go based on our core values. Ensure that HR decisions align with the broader mission and values, and be courageous in driving organizational change and improvements.\n\n - Employee Relations and Legal Compliance: Manage and resolve complex employee relations issues with a focus on fairness and transparency. Ensure compliance with legal requirements, while providing guidance and support in handling sensitive employee matters.\n\n - Metrics and Insights: Partner with the broader HR team to analyze trends and metrics that will drive improvements in team performance, engagement, and retention. Use data to provide actionable insights for continuous improvement.\n\nYou\n\n - Proven Experience: Minimum of 5+ years of HR Business Partner experience, with at least 3+ years working directly with high-performing engineering teams.\n\n - Emotional Intelligence: Extremely high EQ and a deep understanding of the dynamics within high-performance teams. Able to coach, influence, and challenge teams and leaders in ways that drive better outcomes.\n\n - Strategic and Tactical Balance: Able to seamlessly transition between strategic initiatives and day-to-day HR operations. Comfortable providing both big-picture guidance and hands-on support for executing key HR functions.\n\n - People-Centric Approach: A true coach at heart, with a mindset of building and maintaining a high-performance \"sports team\" culture, not just a family-like environment. You value talent, are relentless in your pursuit of excellence, and understand the importance of high standards in hiring and team development.\n\n - Critical Thinker: Strong sense of common sense and the ability to question the status quo when outcomes aren’t meeting expectations. You have the courage to take risks and challenge norms to build an exceptional team.\n\n - Organizational Expertise: You possess the ability to diagnose organizational issues and provide pragmatic solutions that drive both individual and collective performance.\n\n - Inclusive Leadership: Experience in driving diversity, equity, and inclusion initiatives that support high-performing teams and create an environment where all employees feel valued and heard.\n\n - Strong Communication Skills: Excellent communication, time management, and organizational skills, enabling you to manage multiple priorities effectively and communicate clearly with senior leadership, team members, and stakeholders.\n\n - Confidentiality and Discretion: Ability to manage sensitive and confidential information with the highest degree of professionalism and integrity.\n\nNice to Have\n\n - Experience managing HR projects within a fast-paced, high-growth environment, such as a startup or remote-first organization.\n\n - A demonstrated passion for driving organizational change and continuous improvement in HR practices.\n\n - A commitment to raising the bar in recruitment processes, ensuring that the best talent is hired and integrated effectively into the team culture.\n\nWhat Engineering Leaders Value in Their HRBP\n\n - Deeply Informed: The HRBP is expected to sit in on team meetings and stay fully informed about team dynamics and key business priorities. This involvement helps in providing relevant, real-time advice and offering an external perspective that helps leaders address blind spots.\n\n - Performance Partnership: You will be a critical partner in supporting leaders’ performance and team performance. This includes being a sounding board for leaders and helping them evaluate the performance of individuals and teams, as well as assisting in developing strategies to enhance effectiveness.\n\n - Interpersonal Focus: The ability to focus on interpersonal relationships within teams, providing guidance on improving collaboration, resolving conflicts, and improving communication among team members.\n\n - Proactive Talent Strategy: Actively involved in all interview loops, specifically the culture interview, to ensure new hires are aligned with the team's values and bring the right skills to meet the business’s needs.\n\nNon-Negotiable Qualities\n\n - Solid experience in HR roles, particularly in supporting high-performance engineering teams.\n\n - High emotional intelligence, with the ability to effectively navigate complex interpersonal dynamics and coach leaders.\n\n - A coach-like mindset, with a focus on building high-performing teams and achieving business outcomes.\n\n - Courage to challenge the status quo and ask tough questions in the pursuit of excellence.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"87d1ca1b-1618-4db6-b411-450dfb3ea781","title":"Data Center Standards Architect","department":"Data Center Business","team":"HPC Architecture","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-07-14T23:19:01.465+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/87d1ca1b-1618-4db6-b411-450dfb3ea781","applyUrl":"https://jobs.ashbyhq.com/lambda/87d1ca1b-1618-4db6-b411-450dfb3ea781/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

As a Data Center Standards Architect, you will serve as a principal-level technical leader responsible for designing the standards, systems, tools, and processes that help Lambda scale its data center infrastructure. This role is ideal for someone who has led engineering teams or large technical programs and now wants to operate as a high-leverage individual contributor shaping how a fast-growing infrastructure organization works.

You will:

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nNote: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\nAs a Data Center Standards Architect, you will serve as a principal-level technical leader responsible for designing the standards, systems, tools, and processes that help Lambda scale its data center infrastructure. This role is ideal for someone who has led engineering teams or large technical programs and now wants to operate as a high-leverage individual contributor shaping how a fast-growing infrastructure organization works.\n\nYou will:\n\n - Define and own Lambda’s data center engineering standards for high-density AI and GPU infrastructure environments.\n\n - Create repeatable reference architectures, design patterns, technical specifications, and deployment standards that improve speed, quality, reliability, and consistency across data center builds.\n\n - Develop the engineering “operating system” for data center scale, including standards libraries, design review processes, decision records, quality gates, commissioning criteria, acceptance checklists, exception processes, and operational handoff frameworks.\n\n - Translate lessons learned from individual deployments into reusable mechanisms that make future deployments safer, faster, and more predictable.\n\n - Establish technical standards across areas such as power distribution, cooling, liquid cooling readiness, rack integration, structured cabling, fiber management, network rooms, out-of-band management, telemetry, DCIM/BMS integrations, physical security, maintainability, and operational readiness.\n\n - Lead cross-functional architecture reviews for new data center designs, expansions, retrofits, and infrastructure programs.\n\n - Identify organizational bottlenecks and design systems, tools, and workflows that reduce ambiguity, improve accountability, and help teams execute at scale.\n\n - Build governance mechanisms for standards adoption, including exception management, risk reviews, lifecycle ownership, metrics, and continuous improvement loops.\n\n - Act as a technical advisor to senior engineering and infrastructure leadership on data center strategy, design tradeoffs, resiliency, operational risk, and scalability.\n\n - Mentor engineers and technical leaders across the organization by raising the bar for systems thinking, documentation, design rigor, and operational excellence.\n\nYou\n\n - Have operated as a staff, principal, or director-level engineering leader in data center engineering, infrastructure engineering, facilities engineering, cloud infrastructure, hardware infrastructure, or a related technical domain.\n\n - Have experience designing or scaling standards, processes, tools, or governance systems across a complex engineering organization.\n\n - Bring a strong systems-thinking mindset and are comfortable turning ambiguous, one-off problems into repeatable, scalable mechanisms.\n\n - Have deep familiarity with data center infrastructure, including power, cooling, rack layouts, network infrastructure, cabling, commissioning, operational readiness, and lifecycle management.\n\n - Understand how to balance engineering excellence with delivery velocity, cost, risk, reliability, and operational simplicity.\n\n - Are comfortable influencing without direct authority across engineering, operations, construction, supply chain, finance, and executive stakeholders.\n\n - Communicate clearly through written standards, technical narratives, architecture diagrams, design reviews, and executive-level recommendations.\n\n - Have a track record of raising the technical bar for teams through better processes, better documentation, better decision-making frameworks, and better engineering discipline.\n\n - Are energized by building the systems that allow other engineers and operators to move faster and make better decisions.\n\n - Care deeply about reliability, maintainability, repeatability, and operational excellence in mission-critical infrastructure environments.\n\nNice to Have\n\n - Experience with AI, machine learning, GPU, HPC, or hyperscale cloud infrastructure.\n\n - Experience with high-density compute environments, liquid cooling, advanced thermal management, or next-generation data center design.\n\n - Experience building or operating infrastructure standards across multiple sites, regions, colocation providers, or global data center portfolios.\n\n - Familiarity with DCIM, BMS, EPMS, telemetry platforms, infrastructure observability, or workflow automation tools.\n\n - Experience creating internal platforms, tooling, dashboards, or knowledge systems that help engineering organizations scale.\n\n - Experience working with colocation providers, OEMs, ODMs, construction partners, commissioning agents, and critical facilities operations teams.\n\n - Experience leading technical governance forums, architecture review boards, standards councils, or large-scale engineering transformation programs.\n\n - Background in electrical engineering, mechanical engineering, systems engineering, network engineering, infrastructure architecture, or a related field.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"c059929c-ada5-4a59-a846-f64d0277c496","title":"Staff Connectivity Engineer","department":"Data Center Business","team":"HPC Architecture","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-09-01T06:07:51.200+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/c059929c-ada5-4a59-a846-f64d0277c496","applyUrl":"https://jobs.ashbyhq.com/lambda/c059929c-ada5-4a59-a846-f64d0277c496/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

As a Staff Connectivity Infrastructure Engineer, you will drive and support the Physical Infrastructure Cabling Standards (PICS) across all of Lambda’s global data centers. Reporting directly to the Principal of Data Center Architecture and Standards, you will focus on developing and implementing connectivity components and infrastructure solutions that support our demanding GPU Cluster deployments, while accelerating deployment timelines, simplifying operations and reducing costs - all while meeting stringent performance expectations. You will also lead New Product Implementation (NPI) efforts for PICS and be responsible for documenting all Standard Operating Procedures (SOPs) and Methods of Procedure (MOPs) for solutions deployed within our data center infrastructure, including colocation white-space fit-outs, equipment installations, and upgrade initiatives.

 

What You’ll Do

Documentation & Standards Management

Cross-Functional Team & Vendor Management Support

Innovation, NPI & Industry Alignment

Project & Deployment Support

Quality, Compliance & Continuous Improvement

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAs a Staff Connectivity Infrastructure Engineer, you will drive and support the Physical Infrastructure Cabling Standards (PICS) across all of Lambda’s global data centers. Reporting directly to the Principal of Data Center Architecture and Standards, you will focus on developing and implementing connectivity components and infrastructure solutions that support our demanding GPU Cluster deployments, while accelerating deployment timelines, simplifying operations and reducing costs - all while meeting stringent performance expectations. You will also lead New Product Implementation (NPI) efforts for PICS and be responsible for documenting all Standard Operating Procedures (SOPs) and Methods of Procedure (MOPs) for solutions deployed within our data center infrastructure, including colocation white-space fit-outs, equipment installations, and upgrade initiatives.\n\n \n\nWhat You’ll Do\n\nDocumentation & Standards Management\n\n - Develop and maintain all PICS (Physical Infrastructure Cabling Standards) documentation, including Basis of Design (BoD) specifications, component-level details, and operational and installation SOP/MOP’s.\n\n - Ensure adherence to PICS Standards enabling optimal connectivity performance, scalability, flexibility and continuity within our entire global DC Infrastructure fleet.\n\n - Develop and publish dashboards that broadcast our business operations, key Metrics & KPI’s, Project status and issues that impact our area can be resolved quickly and effectively.\n\nCross-Functional Team & Vendor Management Support\n\n - Serve as the primary PICS subject-matter expert for Internal Teams — providing guidance and support to our HPC Architecture, Hardware & Network Engineering, PMO, Supply Chain and Data Center Operations Teams.\n\n - Build and maintain strong relationships with Manufacturers and Suppliers to help ensure supply chain continuity, cost effectiveness and quality assurance.\n\n - Review and develop the detailed BOM’s with Suppliers to ensure our components are built to PICS Standards and they meet our exact connectivity specification requirements.\n\nInnovation, NPI & Industry Alignment\n\n - Stay current with industry trends, emerging cabling technologies, and new data center infrastructure solutions.\n\n - Encourage the adoption of new technologies and keen practices that can improve upon PICS and keep us at the forefront of industry trends.\n\n - Drive the development, qualification, and implementation of new connectivity products and standards into production (NPI).\n\nProject & Deployment Support\n\n - Participate in design reviews and page-turn sessions, providing technical guidance for cabling infrastructure specifications in new data center builds.\n\n - Assist in deploying connectivity components and PICS standards across global data center projects.\n\n - Conduct regular site visits to assess construction progress, document findings, and resolve PICS-related issues.\n\nQuality, Compliance & Continuous Improvement\n\n - Ensure consistent quality of installations and infrastructure by performing QC/QA to PICS best practices across global deployments.\n\n - Track costs, time to install, capacity utilization and connectivity performance to identify methods to optimize efficiency and effectiveness and reduce costs.\n\n - Contribute to process-improvement initiatives and participate in team knowledge-sharing to advance operating efficiency and alignment with industry best practices.\n\nYou\n\n - 10+ years of experience in Data Center cabling infrastructure engineering, connectivity architecture and physical layer design.\n\n - Deep knowledge of fiber-optic and copper cabling systems, termination methods, cable plant architecture, and high-density interconnect solutions.\n\n - Hands-on experience developing installation standards, component specifications, and cabling architectures for hyperscale or large enterprise environments.\n\n - Strong vendor, OEM, and supply chain engagement experience.\n\n - Ability to lead highly technical, cross-functional initiatives involving engineering, construction, and operations.\n\n - Strong documentation, analytical, and communication skills.\n\n - Familiarity with industry standards (TIA/EIA, BICSI, IEC).\n\n - Ability to read, create, and modify technical drawings (AutoCAD, Revit, Bluebeam, or equivalent).\n\nNice to Have\n\n - Experience with AI/HPC cluster architectures and GPU-dense deployments.\n\n - Background in NPI, qualification testing, or component engineering.\n\n - Industry certifications (e.g., RCDD, DCDC, CFHP, BICSI).\n\n - Experience with optical test equipment, inspection, and fiber QA workflows.\n\n - Ability to influence stakeholders and drive customer-focused outcomes across global programs.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"20738542-164f-45b6-a822-f54c11b5fc60","title":"Corporate Development Associate - Digital Infrastructure M&A","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-15T21:24:38.794+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/20738542-164f-45b6-a822-f54c11b5fc60","applyUrl":"https://jobs.ashbyhq.com/lambda/20738542-164f-45b6-a822-f54c11b5fc60/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or upcoming New York City location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

As Lambda continues its rapid growth, we are expanding our corporate development function to drive strategic growth initiatives, partnerships, and M&A opportunities in data centers and real infrastructure.

We are seeking a Corporate Development Associate to play a key role in managing and executing the company’s end-to-end acquisition and strategic investment activities on the real asset / digital infrastructure side of our business. This high-impact role will collaborate cross-functionally to identify opportunities and execute transactions that support Lambda’s long-term vision.

 

What You’ll Do

You

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or upcoming New York City location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAs Lambda continues its rapid growth, we are expanding our corporate development function to drive strategic growth initiatives, partnerships, and M&A opportunities in data centers and real infrastructure.\n\nWe are seeking a Corporate Development Associate to play a key role in managing and executing the company’s end-to-end acquisition and strategic investment activities on the real asset / digital infrastructure side of our business. This high-impact role will collaborate cross-functionally to identify opportunities and execute transactions that support Lambda’s long-term vision.\n\n \n\nWhat You’ll Do\n\n - Support the identification, evaluation, and execution of M&A, strategic investments, and partnerships to expand our portfolio of land-power-shell assets.\n\n - Work cross-functionally with our data center infrastructure, site selection, strategic finance, and legal teams on deal execution.\n\n - Lead financial modeling, valuation analysis, and due diligence on potential transactions.\n\n - Conduct strategic and financial evaluation of M&A and investment opportunities; communicate findings in business case memos and executive presentations.\n\n - Track industry trends, competitive dynamics, and potential market opportunities to inform corporate development strategy, and keep stakeholders updated on the evolving ecosystem.\n\n - Develop investment theses and market analyses to support strategic decision-making.\n\n - Identify and cultivate strategic partnerships that enhance our product offerings, distribution channels, or technology stack.\n\nYou\n\n - 4-5 years of M&A experience in investment banking, private equity, or corporate development, with a specific focus on data centers, digital infrastructure, and real estate\n\n - Strong financial modeling, valuation and analytical skills: specifically, experience building real estate development models, merger models, and accretion/dilution analysis\n\n - Strategic thinker with the ability to synthesize market data into actionable insights and drive high-impact decisions.\n\n - Excellent presentation and communication abilities, with experience presenting to executives and external stakeholders.\n\n - Ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects.\n\n - Deep interest in AI, cloud infrastructure, and emerging technology trends—prior experience in the machine learning or GPU computing space is a strong plus.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"bb47e828-8b60-42dd-8d4e-d2692c87cdc8","title":"Principal Product Manager - Hardware","department":"Data Center Business","team":"Product Management","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-16T01:00:48.173+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/bb47e828-8b60-42dd-8d4e-d2692c87cdc8","applyUrl":"https://jobs.ashbyhq.com/lambda/bb47e828-8b60-42dd-8d4e-d2692c87cdc8/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

 

About the Role

Lambda's hardware is the product. Every training run, fine-tune, and inference workload our customers launch runs on hardware someone at Lambda decided to buy, configure, and ship as a product. This role owns that decision. You'll manage the GPU (graphics processing unit) fleet lifecycle as a product: new NVIDIA platform introductions such as the B200 and H200 class and the generations that follow, node and cluster configurations, InfiniBand fabric options, and the roadmap for what hardware Lambda offers, when, and at what configuration.

 

You'll sit at the layer where Lambda meets silicon. Externally, you'll work directly with NVIDIA and with ODM (original design manufacturer) partners on roadmap alignment. Internally, you'll work with our data center, supply chain, and infrastructure engineering teams to turn silicon roadmaps into sellable, reliable products: On-Demand GPU Instances, 1-Click Clusters, and our largest multi-node reserved deployments. You'll translate customer demand signals and benchmark data into fleet investment recommendations that shape where Lambda puts its capital.

 

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep background in GPU hardware, systems, or the semiconductor ecosystem are also desired.

 

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.

 

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nLambda's hardware is the product. Every training run, fine-tune, and inference workload our customers launch runs on hardware someone at Lambda decided to buy, configure, and ship as a product. This role owns that decision. You'll manage the GPU (graphics processing unit) fleet lifecycle as a product: new NVIDIA platform introductions such as the B200 and H200 class and the generations that follow, node and cluster configurations, InfiniBand fabric options, and the roadmap for what hardware Lambda offers, when, and at what configuration.\n\n \n\nYou'll sit at the layer where Lambda meets silicon. Externally, you'll work directly with NVIDIA and with ODM (original design manufacturer) partners on roadmap alignment. Internally, you'll work with our data center, supply chain, and infrastructure engineering teams to turn silicon roadmaps into sellable, reliable products: On-Demand GPU Instances, 1-Click Clusters, and our largest multi-node reserved deployments. You'll translate customer demand signals and benchmark data into fleet investment recommendations that shape where Lambda puts its capital.\n\n \n\nGreat product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep background in GPU hardware, systems, or the semiconductor ecosystem are also desired.\n\n \n\nWe value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.\n\n \n\nWhat You'll Do\n\n - Own the Hardware Roadmap: Define what GPU platforms Lambda offers, when, and at what configuration, from today's B200 and H200 class systems through next-generation NVIDIA platforms.\n\n - Drive New Platform Introductions: Lead new NVIDIA platform introductions end to end, from early roadmap alignment through general availability as On-Demand GPU Instances and 1-Click Clusters.\n\n - Translate Demand Into Investment: Turn customer demand signals and benchmark data into fleet investment recommendations, and defend those recommendations with executives and finance.\n\n - Define Node and Cluster Configurations: Specify node configurations and InfiniBand fabric options for clusters from 64 to 1,024+ GPUs, working with infrastructure engineering to keep NCCL (NVIDIA Collective Communications Library) and MPI (Message Passing Interface) pre-configured and performant out of the box. This role owns defining this performance standard.\n\n - Align Partner Roadmaps: Work directly with NVIDIA and ODM partners so Lambda's product plans and our partners' silicon and systems roadmaps land together, not months apart.\n\n - Turn Silicon Into Product: Partner with data center, supply chain, and infrastructure engineering teams to convert silicon roadmaps into reliable, sellable SKUs (stock keeping units) with clear positioning and launch plans.\n\n - Win Adoption: Bring engineers, designers, executives, and customers along with your roadmap through clear writing, honest data, and direct conversation.\n\n - Ship, Measure, Iterate: Launch new hardware products, define the metrics that tell you whether they are working, and iterate on configuration and positioning based on what the data says.\n\nYou\n\n - Have 7+ years of product management experience on technical infrastructure, hardware, systems, or platform products; senior candidates should bring 10+ years and ownership of a multi-team or multi-product roadmap\n\n - Turn data and customer signal into a clear decision about what to build next, and can walk through examples where you saw the what and the so what, and determined the now what\n\n - Have a track record of getting engineers, executives, and external partners to adopt a plan because you made them want to, not because you outranked them\n\n - Have shipped products that required coordinating hardware, software, and operations teams against hard external deadlines\n\n - Are fluent in technical conversations with hardware and systems engineers, and comfortable discussing GPU architectures, interconnects, memory, and data center constraints\n\n - Have made hardware, capacity, or fleet investment recommendations that committed significant capital under uncertainty, and can walk through how the decision played out\n\n - Write documents that lead with the conclusion and the evidence, not the background\n\n - Able to define iterative plans that move an organization from the current state towards the desired outcome\n\nNice to Have\n\n - Have direct experience in GPU or accelerator hardware, or systems and HPC (high-performance computing) product management\n\n - Have worked inside the semiconductor or original equipment manufacturer (OEM)/ODM ecosystem, or directly with NVIDIA or another silicon vendor on roadmap alignment\n\n - Have owned cloud infrastructure capacity planning or fleet economics\n\n - Have hands-on familiarity with distributed training infrastructure, including InfiniBand fabrics and NCCL\n\n - Have run benchmark programs and used the results to drive buy or configure decisions\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"d3cbe760-3c91-4cb1-accf-dca60f0406aa","title":"Manager, Group Product Manager - Platform","department":"Data Center Business","team":"Product Management","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-16T00:56:29.690+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/d3cbe760-3c91-4cb1-accf-dca60f0406aa","applyUrl":"https://jobs.ashbyhq.com/lambda/d3cbe760-3c91-4cb1-accf-dca60f0406aa/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

 

About the Role

Every product Lambda ships depends on horizontal capabilities: the security and identity surfaces that let enterprise customers trust us, the telemetry and observability that tells us and our customers what the fleet is doing, and the metering and billing that turns per-minute GPU usage and committed cluster contracts into accurate invoices. When the platform layer is coherent, every Lambda product gets stronger at once. That is the leverage of this role.

 

You'll lead Lambda's Platform product group as a player-coach. You'll hire and manage three product managers, one each for Security, Observability, and Billing, all opening now. While you build that team, you'll personally own platform product strategy: the roadmap, the priorities, and the tradeoffs. You'll partner directly with platform engineering leadership. This is a first-line product management manager role, and you'll set the bar your team is measured against.

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep domain depth in cloud platforms makes you stronger, but insight, influence, and execution are the bar.

 

Success in this role looks like two things: a platform layer that enterprise customers can trust, and a hired, high-performing product management team that clears the bar you set. If you love building the connective tissue of a cloud, and you want to grow product managers while still doing the work yourself, we'd love to hear from you.

 

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.

 

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nEvery product Lambda ships depends on horizontal capabilities: the security and identity surfaces that let enterprise customers trust us, the telemetry and observability that tells us and our customers what the fleet is doing, and the metering and billing that turns per-minute GPU usage and committed cluster contracts into accurate invoices. When the platform layer is coherent, every Lambda product gets stronger at once. That is the leverage of this role.\n\n \n\nYou'll lead Lambda's Platform product group as a player-coach. You'll hire and manage three product managers, one each for Security, Observability, and Billing, all opening now. While you build that team, you'll personally own platform product strategy: the roadmap, the priorities, and the tradeoffs. You'll partner directly with platform engineering leadership. This is a first-line product management manager role, and you'll set the bar your team is measured against.\n\nGreat product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep domain depth in cloud platforms makes you stronger, but insight, influence, and execution are the bar.\n\n \n\nSuccess in this role looks like two things: a platform layer that enterprise customers can trust, and a hired, high-performing product management team that clears the bar you set. If you love building the connective tissue of a cloud, and you want to grow product managers while still doing the work yourself, we'd love to hear from you.\n\n \n\nWe value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.\n\n \n\nWhat You'll Do\n\n - Build the Team: Hire, manage, and develop the Security, Observability, and Billing product managers, and set the standard for insight, influence, and execution across the Platform product group.\n\n - Own the Roadmap: Define and own the platform roadmap end to end across security, observability, and billing, and hold it accountable to customer and business outcomes.\n\n - Carry the Strategy Yourself: Personally own platform product strategy while the team is being hired, so the roadmap never waits on headcount.\n\n - Strengthen Every Product: Deliver horizontal capabilities that On-Demand GPU Instances, 1-Click Clusters, and the Lambda Cloud API all depend on, rather than one-off features for a single product line.\n\n - Get Metering and Billing Right: Own the product surface for usage-based GPU compute billing, from per-minute on-demand billing to committed multi-node cluster contracts, so every invoice is accurate and explainable.\n\n - Earn Enterprise Trust: Shape the identity and security surfaces that let enterprise ML (machine learning) teams adopt Lambda with confidence.\n\n - Partner with Platform Engineering: Work side by side with platform engineering leadership on sequencing, tradeoffs, and delivery, so strategy and architecture move together.\n\n - Decide with Data: Turn fleet telemetry, usage patterns, and customer signal into clear build decisions, and communicate the what, the so what, and the now what to executives and customers.\n\nYou\n\n - Have 10+ years of product management experience, including experience shipping platform or infrastructure products that other teams build on\n\n - Have 3+ years hiring and managing product managers, or have formally led product managers as a first-line manager\n\n - Turn ambiguous data and customer signal into a clear decision about what to build next, and can show where you've done it\n\n - Win engineers, designers, executives, and customers over to your ideas without relying on organizational authority\n\n - Work with the right people to get products launched, then measure and iterate rather than moving on\n\n - Are comfortable operating as a player-coach, owning strategy directly while building the team that will own it after you\n\n - Can go deep with engineering leadership on technical tradeoffs and hold your own in architecture discussions\n\n - Communicate in writing clearly enough that an executive can act on your document without a follow-up meeting\n\n - Able to define iterative plans that move an organization from the current state towards the desired outcome\n\nNice to Have\n\n - Have shipped metering, billing, or monetization systems for usage-based products\n\n - Have built identity, security, or compliance product surfaces for enterprise customers\n\n - Have built telemetry or observability products, or worked deeply with tools like Prometheus and Grafana\n\n - Have a background in GPU compute, high performance computing, or AI infrastructure\n\n - Have built a product team from zero, including writing the job descriptions and running the hiring loops\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"2a8716e7-27e2-4585-8676-48055071ea34","title":"Staff Product Manager - Billing","department":"Data Center Business","team":"Product Management","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-16T22:55:24.779+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/2a8716e7-27e2-4585-8676-48055071ea34","applyUrl":"https://jobs.ashbyhq.com/lambda/2a8716e7-27e2-4585-8676-48055071ea34/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

 

About the Role

Lambda runs a usage-based GPU (Graphics Processing Unit) cloud at significant and fast-growing scale, and the Billing platform is the system of record for all of it. Metering a large GPU fleet accurately is a hard distributed-systems problem wrapped in a hard product problem, and it has to be right every time, because customers choose Lambda in part because they can trust the bill. Transparent, predictable pricing with no egress fees is a core reason customers pick us over hyperscaler clouds, and this role is where that promise gets engineered into the product.

 

As Product Manager, Billing, you'll own the full monetization surface. You'll partner daily with finance on revenue correctness, with platform engineering on the metering and billing pipeline, and with go-to-market teams on how pricing and packaging show up to customers.

 

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep billing domain experience is a plus.

 

If you love problems where fintech-grade correctness meets developer experience, and you want your work to touch every dollar a fast-growing AI cloud earns, we'd love to hear from you.

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.

 

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nLambda runs a usage-based GPU (Graphics Processing Unit) cloud at significant and fast-growing scale, and the Billing platform is the system of record for all of it. Metering a large GPU fleet accurately is a hard distributed-systems problem wrapped in a hard product problem, and it has to be right every time, because customers choose Lambda in part because they can trust the bill. Transparent, predictable pricing with no egress fees is a core reason customers pick us over hyperscaler clouds, and this role is where that promise gets engineered into the product.\n\n \n\nAs Product Manager, Billing, you'll own the full monetization surface. You'll partner daily with finance on revenue correctness, with platform engineering on the metering and billing pipeline, and with go-to-market teams on how pricing and packaging show up to customers.\n\n \n\nGreat product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep billing domain experience is a plus.\n\n \n\nIf you love problems where fintech-grade correctness meets developer experience, and you want your work to touch every dollar a fast-growing AI cloud earns, we'd love to hear from you.\n\nWe value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.\n\n \n\nWhat You'll Do\n\n - Own the Metering Pipeline: Define product requirements for per-minute usage metering across Lambda's on-demand GPU fleet, including accuracy standards, reconciliation, and how the system behaves during instance lifecycle edge cases.\n\n - Build Billing for Both Motions: Ship billing that works for self-serve, per-minute on-demand customers and for sales-led committed contracts on 1-Click Clusters running 64 to 1,024+ GPUs, on one coherent platform.\n\n - Protect Billing Accuracy: Define correctness as a product requirement, drive reconciliation and audit mechanisms with finance and platform engineering, and treat a wrong invoice as a launch-blocking defect.\n\n - Drive the Credits and Invoicing Lifecycle: Own how credits are granted, consumed, and expire, and how invoices are generated, delivered, and disputed, end to end.\n\n - Make Pricing Changes Shippable: Partner with finance and go-to-market so that new instance types, contract structures, and pricing updates can launch quickly without compromising revenue integrity.\n\n - Extend Billing Through the Lambda Cloud API: Define usage and billing surfaces in Lambda's public API so customers can pull spend data into their own tooling programmatically.\n\n - Extend into Commerce as a Platform: Billing doesn’t stop when you rate a metering dimension, it extends into areas like Fraud detection and prevention, managing bad debt, and other financial tradeoffs. In this role, you will work to productize these types of dimensions too and work with other PMs and engineering leaders in the places that overlap like alarming when a bill reaches particular thresholds.\n\n - Measure and Iterate: Instrument the billing experience, watch where customers get confused or surprised, and ship improvements on a tight loop.\n\nYou\n\n - Have 7+ years of product management experience, including 2+ years on platform, infrastructure, or other technical products\n\n - Turn usage patterns, revenue reports, and support tickets into a clear decision about what to build next, and why now\n\n - Win engineers, designers, finance partners, executives, and customers over to your ideas by making the case, not by outranking them\n\n - Have taken products from ambiguous problem statement through launch, measurement, and iteration, repeatedly\n\n - Are comfortable reasoning about distributed systems concepts that billing correctness depends on, such as event pipelines, idempotency, and reconciliation\n\n - Can work fluently with finance stakeholders on revenue recognition, invoicing, and audit requirements without losing the customer's perspective\n\n - Write product documents that state the problem, the evidence, and the decision in a form others can act on\n\n - Able to define iterative plans that move an organization from the current state towards the desired outcome\n\nNice to Have\n\n - Have built billing, metering, or monetization platforms, especially for usage-based pricing\n\n - Have a background in fintech or payments where correctness carried financial and regulatory consequences\n\n - Have worked on cloud cost management or spend visibility products\n\n - Are familiar with GPU cloud or AI infrastructure and how customers consume it\n\n - Are fluent in SQL (Structured Query Language) or similar tools for independent data analysis\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"3e9c5ab9-7fa1-4988-8ba6-bf9df69a0019","title":"Staff Product Manager - Security","department":"Data Center Business","team":"Product Management","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-16T23:08:42.174+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/3e9c5ab9-7fa1-4988-8ba6-bf9df69a0019","applyUrl":"https://jobs.ashbyhq.com/lambda/3e9c5ab9-7fa1-4988-8ba6-bf9df69a0019/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

 

About the Role

Lambda's platform runs some of the most valuable digital assets in the world: frontier model weights and the training data behind them. AI labs need to know their weights are protected. Enterprises need to pass procurement and compliance reviews before a single GPU spins up. Security is not a feature we bolt on. It is the condition for these customers to run on Lambda at all.

 

As Product Manager, Security, you'll own the security product surface of Lambda's cloud platform. That means identity and access management (IAM) across the console and the Key Management Services (KMS). You'll report to the Head of Platform Product Management, and partner closely with Lambda's Security Engineering team and platform engineering. Your mandate is a hard balance. Deliver the security capabilities that unlock enterprise revenue without adding too much friction to the customer experience or slowing down feature velocity too much.

 

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep security domain experience is a strong plus, but insight, influence, and execution are the bar.

 

If you love making security the reason a deal closes rather than the reason a product slows down, we'd love to hear from you. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.

 

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

 

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nLambda's platform runs some of the most valuable digital assets in the world: frontier model weights and the training data behind them. AI labs need to know their weights are protected. Enterprises need to pass procurement and compliance reviews before a single GPU spins up. Security is not a feature we bolt on. It is the condition for these customers to run on Lambda at all.\n\n \n\nAs Product Manager, Security, you'll own the security product surface of Lambda's cloud platform. That means identity and access management (IAM) across the console and the Key Management Services (KMS). You'll report to the Head of Platform Product Management, and partner closely with Lambda's Security Engineering team and platform engineering. Your mandate is a hard balance. Deliver the security capabilities that unlock enterprise revenue without adding too much friction to the customer experience or slowing down feature velocity too much.\n\n \n\nGreat product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep security domain experience is a strong plus, but insight, influence, and execution are the bar.\n\n \n\nIf you love making security the reason a deal closes rather than the reason a product slows down, we'd love to hear from you. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.\n\n \n\nWhat You'll Do\n\n - Own the Security Roadmap: Define and drive the product roadmap for the security surface of Lambda's platform, from customer signal through launch and iteration.\n\n - Define Identity and Access Management: Ship IAM and KMS capabilities such as single sign-on, role-based access control, and API credential management across the Lambda console and the Lambda Cloud API.\n\n - Harden Tenant Isolation: Set the product requirements for isolation across Lambda's multi-tenant GPU infrastructure, covering On-Demand GPU Instances and 1-Click Clusters.\n\n - Build Audit and Compliance Capabilities: Deliver the audit logging, evidence, and compliance features that enterprise procurement teams require to buy.\n\n - Partner with Security Engineering: Work with Lambda's Security Engineering and platform engineering teams to turn security requirements into shipped platform capabilities.\n\n - Unlock Revenue Without Adding Friction: Prioritize the security work that opens enterprise segments while preserving the fast self-serve experience researchers choose Lambda for.\n\n - Measure and Iterate: Instrument adoption of security features, learn from customer and sales feedback, and iterate until the capability closes deals.\n\nYou\n\n - Have 7+ years of product management experience, with at least part of that time on platform, infrastructure, or technical products\n\n - Turn data and customer signal into clear decisions about what to build next, and can show examples where your insight changed a roadmap\n\n - Win over engineers, designers, executives, and customers without formal authority, and bring them along on ideas they did not start with\n\n - Work with engineering to get products launched, measured, and improved, not just specified\n\n - Are technically fluent enough to go deep with security and platform engineers on topics like authentication, authorization, and isolation boundaries\n\n - Can weigh security rigor against product friction and make the tradeoff explicit rather than hiding it\n\n - Write specs, narratives, and customer-facing docs that stand on their own without a meeting to explain them\n\n - Able to define iterative plans that move an organization from the current state towards the desired outcome\n\nNice to Have\n\n - Have shipped security products or security features, such as IAM, audit logging, or secrets management\n\n - Have worked with compliance programs such as SOC 2 (Service Organization Control 2)\n\n - Have built for cloud infrastructure, multi-tenant platforms, or GPU and machine learning infrastructure\n\n - Have sold into or built for enterprise procurement customers\n\n - Have experience partnering with a dedicated security engineering organization\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n \n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"3458980b-fb11-4285-961b-af64beecaed2","title":"Senior HPC Systems Validation Engineer","department":"Data Center Business","team":"HPC Architecture","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-08-25T15:36:14.531+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/3458980b-fb11-4285-961b-af64beecaed2","applyUrl":"https://jobs.ashbyhq.com/lambda/3458980b-fb11-4285-961b-af64beecaed2/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Hardware Engineering at Lambda is responsible for building and scaling the physical infrastructure powering all of Lambda's products. Our scope spans the full hardware lifecycle: roadmap and architecture, proof-of-concept for state-of-the-art platforms, new product introduction (NPI), and fleet-scale operations — all engineered for gigawatt-scale AI factories with rack-first design, advanced liquid cooling, and next-generation interconnects at the cutting edge of the industry. If you want your hardware work running at the frontier of AI compute, at a scale few teams in the industry operate at, this is that team.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nHardware Engineering at Lambda is responsible for building and scaling the physical infrastructure powering all of Lambda's products. Our scope spans the full hardware lifecycle: roadmap and architecture, proof-of-concept for state-of-the-art platforms, new product introduction (NPI), and fleet-scale operations — all engineered for gigawatt-scale AI factories with rack-first design, advanced liquid cooling, and next-generation interconnects at the cutting edge of the industry. If you want your hardware work running at the frontier of AI compute, at a scale few teams in the industry operate at, this is that team.\n\n\n\nWhat You’ll Do\n\n - Own system integration validation for new HPC AI/ML, general purpose compute, storage, and network hardware platforms throughout hardware NPI and deployment readiness.\n\n - Development and execution of functional, stress, reliability, error-injection and benchmark tests on new hardware systems. Enable automated tools for doing scale testing.\n\n - Collaborate with HPC deployment and operation teams, fleet engineering teams, infrastructure engineering and PMO teams to facilitate tooling automation and L10/L11/L12 level benchmarking throughout hardware NPI and at new hardware deployment.\n\n - Manage the firmware and software compatibility, track and recommend firmware and software releases during NPI, support HPC operation team on firmware and software maintenance after production release.\n\n - Support RMA team on critical hardware issues’ triage and Root-Cause-Analysis after deployment; own fleet hardware issues’ failure correlation, trend analysis, close the loop with Platform Hardware Engineer and Quality team to improve product reliability.\n\n - Own hands-on lab setup and test infrastructure for repeatable hardware evaluation, partnering with Platform Hardware Engineer, Data Center Engineering, and Cluster Network Design to ensure new platforms can be brought up, instrumented, stressed, benchmarked, and debugged consistently.\n\n - Manage hardware vendors regarding hardware validation and manufacturing testing; support new vendor evaluation and Quarterly Business Review on hardware vendors.\n\n - Drive alternate component qualification from technical evaluation through PLM enablement, develop and execute validation plans for key commodities such as memory, SSDs, NICs, PSUs, PDUs, fans, cables, optics, and transceivers.\n\nYou\n\n - 5 years of experience in one or many of the following areas: hardware integration validation, fleet hardware reliability engineering, component qualification, performance validation for HPC, data center, or cloud infrastructure products.\n\n - Possess deep knowledge in system integration testing and performance benchmarking at one or many of the L10, L11 and L12 levels.\n\n - Experiences in validation of one or many of the following server hardware platforms: AI/ML, general compute (x86 and ARM), storage systems, or network switches.\n\n - Hands-on experiences with vendor-led product NPI cycles and can drive hardware validation, issues triage, debugging and root cause in both NPI and after production at scale.\n\n - Collaborate well across architecture, hardware and datacenter engineering, supply chain, fleet and infrastructure engineering, HPC deployments and operations, and vendor engineering teams to deliver complete, production-ready hardware solutions.\n\n - Strong ownership and can do attitude; self-starter who feels comfortable working in ambiguity.\n\nNice to Have\n\n - 10+ years of experience in one or many of the following areas: hardware integration validation, fleet hardware reliability engineering, component qualification, performance validation for HPC, data center, or cloud infrastructure products.\n\n - Experience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel).\n\n - Experience in acceptance testing to enable large scale hardware deployments.\n\n - Deep knowledge in BMC, BIOS settings and network card configurations.\n\n - Proficient in validating, issue triaging, benchmarking and performance tuning for rack-scale servers at L10, L11, L12 levels.\n\n - Working knowledge of infrastructure toolings for asset management, provisioning, hardware lifecycle management, etc.\n\n - Working knowledge in PLM systems and BOM structure.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"ae60759f-c627-48ca-b18f-e840f56602d2","title":"Manager, Investor Relations","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-23T18:55:23.461+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/ae60759f-c627-48ca-b18f-e840f56602d2","applyUrl":"https://jobs.ashbyhq.com/lambda/ae60759f-c627-48ca-b18f-e840f56602d2/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

We are seeking a Manager, Investor Relations to strengthen the analytical and strategic core of our Investor Relations function as the company scales. This is a senior role for someone who can independently own complex analysis and judgment-based work, not simply support it, while also developing the junior analyst who reports to them.

Reporting to and partnering closely with the Vice President of Investor Relations, this role works across Finance, FP&A, Capital Markets & Corporate Development, and the broader organization to help management understand external expectations, investor sentiment, and market dynamics. The ideal candidate combines strong financial acumen, analytical rigor, and sharp communication skills with a genuine interest in how sophisticated investors evaluate businesses.

Prior investor relations experience is welcome but not required, and it is not what we are optimizing for. We care far more about analytical horsepower, sound judgment, and a strong point of view, paired with the eagerness to learn our approach to investor relations.

This is a highly visible role with regular exposure to executive leadership, investors, analysts, and the broader financial community. The [Senior] Manager will have one direct report, an Investor Relations Analyst. While the focus of the role is the work itself rather than people management, prior management experience is not required; what matters is the desire to guide, develop, and elevate a junior team member.

What You’ll Do

You

Nice to Have

Success in This Role

Success in this role is about owning your work end-to-end. You produce solid, reliable analysis, you know exactly where every number came from, and you are seen across the organization as someone whose work can be trusted without a second check. It is about consistently doing rigorous, dependable work that others can build on with confidence.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nWe are seeking a Manager, Investor Relations to strengthen the analytical and strategic core of our Investor Relations function as the company scales. This is a senior role for someone who can independently own complex analysis and judgment-based work, not simply support it, while also developing the junior analyst who reports to them.\n\nReporting to and partnering closely with the Vice President of Investor Relations, this role works across Finance, FP&A, Capital Markets & Corporate Development, and the broader organization to help management understand external expectations, investor sentiment, and market dynamics. The ideal candidate combines strong financial acumen, analytical rigor, and sharp communication skills with a genuine interest in how sophisticated investors evaluate businesses.\n\nPrior investor relations experience is welcome but not required, and it is not what we are optimizing for. We care far more about analytical horsepower, sound judgment, and a strong point of view, paired with the eagerness to learn our approach to investor relations.\n\nThis is a highly visible role with regular exposure to executive leadership, investors, analysts, and the broader financial community. The [Senior] Manager will have one direct report, an Investor Relations Analyst. While the focus of the role is the work itself rather than people management, prior management experience is not required; what matters is the desire to guide, develop, and elevate a junior team member.\n\n\nWhat You’ll Do\n\n - Own earnings preparation. Lead the development of earnings materials, including presentations, scripts, Q&A, and supporting analyses, working with the VP to ensure accuracy, consistency, and a compelling narrative.\n\n - Read the market. Develop a deep, ongoing understanding of investor sentiment, analyst expectations, and market perception, and translate it into clear insights for management.\n\n - Analyze and interpret. Assess investor feedback, analyst research, peer disclosures, and industry developments to identify implications for our communications and positioning.\n\n - Act as a thought partner. Serve as a trusted analytical partner to the VP of Investor Relations on investor sentiment, market expectations, competitive positioning, and external perception.\n\n - Bridge FP&A and IR. Partner closely with FP&A to understand operating performance, forecast assumptions, and key business drivers, and translate internal operating trends into investor-relevant insights.\n\n - Partner with Capital Markets and Corporate Development. Coordinate closely with Capital Markets & Corporate Development on all capital-raising activity, focusing on consistency of metrics and narrative across external communications.\n\n - Anticipate the Street. Analyze the relationship between company performance and investor expectations to help management anticipate investor questions, reactions, and areas of focus.\n\n - Surface disconnects. Identify gaps between internal expectations and external models, and recommend approaches to messaging, disclosure, and investor engagement.\n\n - Develop the analyst. Guide and develop the Investor Relations Analyst (a direct report), reviewing their work and helping raise the analytical quality of the function’s output.\n\nYou\n\n - 4+ years of experience in equity research, investment banking, management consulting, strategic finance, investor relations, or a similarly analytical field. Prior investor relations experience is welcome but not required.\n\n - Strong command of financial statements, operating metrics, valuation frameworks, and public company disclosures.\n\n - Strong analytical and financial modeling capabilities.\n\n - Demonstrated ability to synthesize complex financial and market information into clear, actionable insights and recommendations.\n\n - Exceptional written and verbal communication skills, with the judgment to know what matters to a sophisticated audience.\n\n - Intellectual curiosity and a genuine interest in markets, investors, competitors, and business performance.\n\n - A genuine desire to mentor and develop a direct report while remaining hands-on in the work; prior people-management experience is not required.\n\nNice to Have\n\n - Experience with companies that need to raise significant amounts of capital, or with capital-intensive businesses.\n\n - Experience with highly technical or complex business models.\n\n - A track record of advancement within a single firm rather than frequent job changes; we value depth and demonstrated growth in one place.\n\n - Familiarity with AI, cloud infrastructure, or adjacent technology sectors.\n\nSuccess in This Role\n\nSuccess in this role is about owning your work end-to-end. You produce solid, reliable analysis, you know exactly where every number came from, and you are seen across the organization as someone whose work can be trusted without a second check. It is about consistently doing rigorous, dependable work that others can build on with confidence.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"c0116ab6-9ec2-4189-9f07-e9dd284222b6","title":"Internal Tools & Data Product Analyst","department":"Data Center Business","team":"Product Management","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-07-24T20:17:25.822+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/c0116ab6-9ec2-4189-9f07-e9dd284222b6","applyUrl":"https://jobs.ashbyhq.com/lambda/c0116ab6-9ec2-4189-9f07-e9dd284222b6/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


As companies scale, the gap between what leadership needs to see and what teams can easily report grows — dashboards get built by hand, workflows stay stuck in spreadsheets, and requests for better tooling pile up faster than they get solved. This role exists to close that gap: turning manual reporting into trusted, self-serve data products, finding and fixing the workflows costing teams the most time, and helping make sure the highest-impact tooling requests actually get built.


About This Role

The Internal Tools & Data Product Analyst partners with business teams to find where manual work, inconsistent data, or missing tooling is slowing things down, and helps turn that into a shipped fix. This might mean defining what a metric actually means and getting a dashboard built around it, helping retire a spreadsheet-driven process that shouldn't exist anymore, or helping triage and prioritize a backlog of tool requests. Some of this gets shipped directly — lightweight builds, AI-assisted coding — and the rest gets scoped into a clear spec and handed to an engineering partner.

What You’ll Do

Data Products & Reporting

Workflow Automation

Intake & Prioritization

SUCCESS PROFILE

Measures of Success

Success is measured by:

You

Core Competencies

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAs companies scale, the gap between what leadership needs to see and what teams can easily report grows — dashboards get built by hand, workflows stay stuck in spreadsheets, and requests for better tooling pile up faster than they get solved. This role exists to close that gap: turning manual reporting into trusted, self-serve data products, finding and fixing the workflows costing teams the most time, and helping make sure the highest-impact tooling requests actually get built.\n\n\nAbout This Role\n\nThe Internal Tools & Data Product Analyst partners with business teams to find where manual work, inconsistent data, or missing tooling is slowing things down, and helps turn that into a shipped fix. This might mean defining what a metric actually means and getting a dashboard built around it, helping retire a spreadsheet-driven process that shouldn't exist anymore, or helping triage and prioritize a backlog of tool requests. Some of this gets shipped directly — lightweight builds, AI-assisted coding — and the rest gets scoped into a clear spec and handed to an engineering partner.\n\nWhat You’ll Do\n\nData Products & Reporting\n\n - Partner with business stakeholders to help define what key metrics actually mean, and support getting agreement on a single trusted source for each one.\n\n - Contribute to requirements for turning manually-built, inconsistent reporting into live, self-serve dashboards suitable for execs — including how someone drills from a summary number into the underlying detail.\n\n - Help prioritize which reports or metrics get automated first, based on how manual, stale, or error-prone they are today.\n\nWorkflow Automation\n\n - Identify manual, spreadsheet-driven work worth automating, and help see the fix through end to end.\n\n - Scope each fix and help decide what to build directly (lightweight scripting, no-code tools, AI-assisted coding) versus what needs a full engineering build.\n\n - Write clear, engineering-ready specs for anything handed off to a technical partner.\n\n - Identify and document places where an AI agent or automation could replace manual coordination, feeding the broader automation roadmap.\n\nIntake & Prioritization\n\n - Support the tool-request pipeline: help collect requests, triage them, and prioritize based on impact versus effort.\n\n - Help maintain a visible roadmap so stakeholders understand what's coming next and why.\n\n - Build relationships with the teams you support so priorities stay grounded in what they actually need.\n\nSUCCESS PROFILE\n\nMeasures of Success\n\nSuccess is measured by:\n\n - Reduction in manual, spreadsheet-driven work across supported teams\n\n - Dashboard/reporting trust and adoption\n\n - A tool-request pipeline that is visible, current, and trusted by stakeholders\n\n - Time saved per reporting or workflow cycle\n\nYou\n\n - Early-career product, business operations, analytics, or technical program management experience\n\n - Comfort working directly with data, spreadsheets, and lightweight tooling (SQL, no-code platforms, AI coding assistants)\n\n - Some exposure to designing a workflow or tool from the end user's point of view, not just the data behind it\n\n - A track record of shipping something — a tool, a process fix, an internal script — rather than only recommending one\n\nCore Competencies\n\n - End-user experience judgment: can tell the difference between a technically correct dashboard/tool and one people will actually use\n\n - Prioritization: can weigh impact against effort across a noisy backlog\n\n - Lightweight execution: comfortable using AI-assisted coding tools to ship small things directly\n\n - Cross-functional relationship building\n\n - Clear written communication (specs, roadmaps, requirements)\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"49f74010-da5e-42b1-8ebc-db4d39af443d","title":"Data Center Operations Systems Engineer II (Chicago)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Elk Grove Village, IL - Data Center","secondaryLocations":[],"publishedAt":"2026-07-24T21:25:27.384+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"60007","addressRegion":"Illinois","addressCountry":"United States","addressLocality":"Elk Grove Village"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/49f74010-da5e-42b1-8ebc-db4d39af443d","applyUrl":"https://jobs.ashbyhq.com/lambda/49f74010-da5e-42b1-8ebc-db4d39af443d/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Elk Grove Village, IL Data Center 5 days per week: 7/24 coverage.


What You'll Do

You

Nice to Have

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Elk Grove Village, IL Data Center 5 days per week: 7/24 coverage.\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced systems\n\n - Document data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Are someone who pays attention to detail and has the ability to follow instructions\n\n - Are action-oriented and have a strong willingness to learn\n\n - Are willing to travel for bring up of new data center locations\n\nNice to Have\n\n - Experience with troubleshooting server hardware\n\n - Experience with/or knowledge of network topology\n\n - Familiarity with ticketing systems like JIRA and Zendesk\n\n - Experience with Linux administration\n\n - Experience with working in large-scale distributed data center environments\n\n - Experience with Supermicro & Nvidia hardware\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"75d998f5-c6cd-47fe-aadd-beb119f2371a","title":"Data Center Operations System Engineer III (Chicago)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Elk Grove Village, IL - Data Center","secondaryLocations":[],"publishedAt":"2026-07-24T21:23:57.716+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"60007","addressRegion":"Illinois","addressCountry":"United States","addressLocality":"Elk Grove Village"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/75d998f5-c6cd-47fe-aadd-beb119f2371a","applyUrl":"https://jobs.ashbyhq.com/lambda/75d998f5-c6cd-47fe-aadd-beb119f2371a/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Elk Grove, IL Data Center 5 days per week, 7/24 shift coverage

What You'll Do

You

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Elk Grove, IL Data Center 5 days per week, 7/24 shift coverage\n\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"fd09a16d-a8cf-4bc6-87b0-04f072e8f9db","title":"Data Center Operations System Engineer III (Querétaro, Mexico)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Querétaro, Mexico - Data Center","secondaryLocations":[],"publishedAt":"2026-07-28T18:51:48.916+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Bajío","addressCountry":"Mexico","addressLocality":"Santiago de Querétaro"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/fd09a16d-a8cf-4bc6-87b0-04f072e8f9db","applyUrl":"https://jobs.ashbyhq.com/lambda/fd09a16d-a8cf-4bc6-87b0-04f072e8f9db/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Querétaro, Mexico Data Center 5 days; shift work

What You'll Do

You

Nice to Have

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Querétaro, Mexico Data Center 5 days; shift work\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Are Fluent in English and Spanish\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"250d4eab-8ebf-4a56-b7f2-b3044bbbda48","title":"Data Center Operations Systems Engineer III (Los Angeles)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Vernon, CA - Data Center","secondaryLocations":[],"publishedAt":"2026-07-28T18:57:41.147+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"90058","addressRegion":"California","addressCountry":"United States","addressLocality":"Vernon"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/250d4eab-8ebf-4a56-b7f2-b3044bbbda48","applyUrl":"https://jobs.ashbyhq.com/lambda/250d4eab-8ebf-4a56-b7f2-b3044bbbda48/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Los Angeles, CA Data Center 5 days; shift work; on-call requirement

What You'll Do

You

Nice to Have

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Los Angeles, CA Data Center 5 days; shift work; on-call requirement\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed (25%-30%)\n\nNice to Have\n\n - Have 5+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 5+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"4621b314-965a-4626-a516-1b8ef42da21d","title":"Data Center Operations Systems Engineer (Seattle)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Quincy, WA - Data Center","secondaryLocations":[],"publishedAt":"2026-08-03T19:00:08.611+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Quincy"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/4621b314-965a-4626-a516-1b8ef42da21d","applyUrl":"https://jobs.ashbyhq.com/lambda/4621b314-965a-4626-a516-1b8ef42da21d/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Quincy, WA Data Center 5 days per week.

What You'll Do

You

Nice to Have

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Quincy, WA Data Center 5 days per week.\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"ca617948-e0eb-46fc-afef-fbd91f5cb1a1","title":"Senior HPC Systems Architect ","department":"Data Center Business","team":"HPC Architecture","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-27T19:09:38.594+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/ca617948-e0eb-46fc-afef-fbd91f5cb1a1","applyUrl":"https://jobs.ashbyhq.com/lambda/ca617948-e0eb-46fc-afef-fbd91f5cb1a1/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.


*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Architecture leads the design, development, and execution of next-generation GPU clusters. Our team gets first access to the latest technologies and is responsible for translating emerging platform capabilities into scalable, production-ready infrastructure. Our scope spans from rack and pod level system arrangement that maximizes the data center power footprint, to right-sizing compute fabrics that meet the most demanding customer workloads.

We work at the intersection of GPU systems, high-performance networking, power and cooling, data center design, and customer-scale AI infrastructure.

We're looking for a Senior HPC Systems Architect with extensive experience designing, developing, and testing large-scale high-performance computing (HPC) infrastructures. This strategic role focuses on crafting cutting-edge liquid-cooled HPC solutions.

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nArchitecture leads the design, development, and execution of next-generation GPU clusters. Our team gets first access to the latest technologies and is responsible for translating emerging platform capabilities into scalable, production-ready infrastructure. Our scope spans from rack and pod level system arrangement that maximizes the data center power footprint, to right-sizing compute fabrics that meet the most demanding customer workloads.\n\nWe work at the intersection of GPU systems, high-performance networking, power and cooling, data center design, and customer-scale AI infrastructure.\n\nWe're looking for a Senior HPC Systems Architect with extensive experience designing, developing, and testing large-scale high-performance computing (HPC) infrastructures. This strategic role focuses on crafting cutting-edge liquid-cooled HPC solutions.\n\n\nWhat You'll Do\n\n - Design and architect advanced HPC systems optimized for large-scale computational workloads and AI applications.\n\n - Collaborate with internal teams and stakeholders to define system requirements and performance goals.\n\n - Develop comprehensive testing frameworks to rigorously assess system performance, scalability, and reliability.\n\n - Evaluate emerging technologies and architectural approaches to continuously enhance infrastructure capabilities.\n\n - Create detailed architectural plans, documentation, and blueprints to guide implementation teams.\n\n - Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC architecture.\n\nYou\n\n - 8+ years of experience designing and architecting large-scale HPC and distributed computing systems.\n\n - Expert-level knowledge of HPC hardware including GPU clusters, compute nodes, high-speed networking (InfiniBand, Ethernet), and distributed storage.\n\n - Hands-on experience with direct-to-chip liquid cooling systems.\n\n - Proven expertise in creating robust performance benchmarks, capacity planning, and system validation.\n\n - Exceptional skills in system architecture, design documentation, and technical specifications.\n\n - Ability to work collaboratively across teams, ensuring alignment of technical solutions with business objectives.\n\n - Self-motivated, strategic thinker with strong analytical and problem-solving capabilities.\n\nNice to Have\n\n - Prior experience with AI infrastructure design.\n\n - Familiarity with cloud computing environments and hybrid cloud HPC architectures.\n\n - Knowledge of automation and orchestration tools (Ansible, Terraform, Kubernetes).\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"fbfaab3b-9803-4ce6-9501-1e9a6ed77288","title":"Infrastructure & Energy Transaction Counsel","department":"G&A","team":"Legal","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-01T02:08:19.194+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/fbfaab3b-9803-4ce6-9501-1e9a6ed77288","applyUrl":"https://jobs.ashbyhq.com/lambda/fbfaab3b-9803-4ce6-9501-1e9a6ed77288/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or upcoming New York City office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

As Lambda continues its rapid growth, and our data center footprint continues scaling, our legal team is expanding its infrastructure, corporate development, and power capabilities. We are seeking an Infrastructure & Energy Transaction Counsel to serve as a primary deal lawyer on our multi-billion-dollar-scale physical infrastructure investments.

In this role, you will take end-to-end ownership of the legal structuring, drafting, and negotiation of complex transactions across our portfolio of leased data centers and the data centers we develop ourselves through land and power acquisitions. You'll partner closely with leaders across strategy, site development, power, engineering, procurement, and finance to execute the infrastructure deals that will shape Lambda's next chapter of growth. This role demands high responsiveness, versatility, and absolute ownership, and you thrive under exactly that kind of pressure.

What You’ll Do

You

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or upcoming New York City office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\n\nAs Lambda continues its rapid growth, and our data center footprint continues scaling, our legal team is expanding its infrastructure, corporate development, and power capabilities. We are seeking an Infrastructure & Energy Transaction Counsel to serve as a primary deal lawyer on our multi-billion-dollar-scale physical infrastructure investments.\n\n\n\nIn this role, you will take end-to-end ownership of the legal structuring, drafting, and negotiation of complex transactions across our portfolio of leased data centers and the data centers we develop ourselves through land and power acquisitions. You'll partner closely with leaders across strategy, site development, power, engineering, procurement, and finance to execute the infrastructure deals that will shape Lambda's next chapter of growth. This role demands high responsiveness, versatility, and absolute ownership, and you thrive under exactly that kind of pressure.\n\n\n\nWhat You’ll Do\n\n - Deal Negotiation & Structuring: Lead the commercial negotiation and documentation of development deals, complex site leasing, real estate acquisitions, joint ventures as well as real estate and project financing.\n\n - Power & Utility Management: Structure and manage specialized contracts critical to hyperscale deployments, including corporate Power Purchase Agreements, utility interconnection agreements, behind-the-meter generation frameworks, and storage systems.\n\n - Construction & Project Development: Draft, review, and negotiate construction contracts, engineering services agreements, and design-build documents tailored for infrastructure handling gigawatts of power.\n\n - Finance & Incentive Support: Partner with corporate development, tax and other teams to support project finance elements, tax incentives, and intricate lease arrangements that enable massive capital deployment.\n\n - Cross-Functional Collaboration: Align legal risk frameworks closely with technical engineering, security, business development, and strategic financial models.\n\n - Outside Counsel Oversight: Direct and manage specialized outside counsel on complex regulatory or regional matters while maintaining strictly focused in-house strategic judgment.\n\nYou\n\n - 6+ years of legal experience running complex commercial transactions, ideally split between an elite AmLaw law firm and an innovative, fast-moving infrastructure or technology company.\n\n - Deep infrastructure expertise with a proven track record of managing a heavy workload, prioritizing risk efficiently, and closing multi-hundred-million- and billion-dollar transactions on accelerated schedules.\n\n - Strong technical and energy market literacy, displaying a clear understanding of data centers, wholesale electricity markets (e.g., ERCOT, PJM), utility interconnections, and emerging AI hardware stacks.\n\n - Solution-oriented commercial mindset with an ability to demonstrate sound, definitive judgment in high-stakes, highly ambiguous situations.\n\n - Elite communication abilities, with a demonstrated capacity to accurately and concisely bridge technical engineering needs with legal protections.\n\n - A JD from an accredited law school and an active bar membership in at least one U.S. state.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"0f94de99-5027-4cae-a6d4-757eef2845b6","title":"Senior Software Engineer - Compute","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-09-01T17:47:44.391+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/0f94de99-5027-4cae-a6d4-757eef2845b6","applyUrl":"https://jobs.ashbyhq.com/lambda/0f94de99-5027-4cae-a6d4-757eef2845b6/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

The Compute Software Engineering role plays a key part in the foundation of both the Public and Private Cloud offerings by enabling Bare-Metal and Virtual Machine provisioning. In this role you will: Develop and integrate workflows for compute instance lifecycle, system health, host and cluster validation, and contribute to and evolve the internal platform tooling, and workflows. As part of the Compute Engineering team, this position focuses on improving the bare-metal and VM developer and customer experiences, streamlining the software delivery lifecycle, building, testing, and shipping software efficiently and reliably.

The position works closely with various engineering teams across the company and contributes directly to Lambda’s ability to scale engineering productivity, maintain high delivery velocity, and support the company’s continued growth by making the right engineering workflows easier, faster, and more reliable.

 

What You’ll Do
We are seeking a Software Engineer with good experience in backbone infrastructure that build, scale and optimize GPU-first cloud infrastructure that enables High Performance Computing and demanding AI workloads. In this role you will be responsible for:

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nThe Compute Software Engineering role plays a key part in the foundation of both the Public and Private Cloud offerings by enabling Bare-Metal and Virtual Machine provisioning. In this role you will: Develop and integrate workflows for compute instance lifecycle, system health, host and cluster validation, and contribute to and evolve the internal platform tooling, and workflows. As part of the Compute Engineering team, this position focuses on improving the bare-metal and VM developer and customer experiences, streamlining the software delivery lifecycle, building, testing, and shipping software efficiently and reliably.\n\nThe position works closely with various engineering teams across the company and contributes directly to Lambda’s ability to scale engineering productivity, maintain high delivery velocity, and support the company’s continued growth by making the right engineering workflows easier, faster, and more reliable.\n\n \n\nWhat You’ll Do\nWe are seeking a Software Engineer with good experience in backbone infrastructure that build, scale and optimize GPU-first cloud infrastructure that enables High Performance Computing and demanding AI workloads. In this role you will be responsible for:\n\n - Design, develop and maintain software for GPU/CPU compute infrastructure with focus on performance, scalability, and reliability.\n\n - Implement and develop services for baremetal and VM instancing.\n\n - Develop distributed systems for managing and orchestrating compute resources across various SKU’s.\n\n - Troubleshoot and debug complex issues in a production and development environment.\n\n - On-call and incident ownership\n\n - Collaboration across multiple teams and drive ambiguity in requirements or solutions on RFC’s.\n\nYou\n\n - 5+ years of experience working with Go (Golang) or Python in production environments.\n\n - 5+ years of experience with bare metal & virtualization hardware management and configuration.\n\n - Are comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.\n\n - Can independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.\n\nNice to Have\n\n - Familiarity with GPU Infrastructure or high-performance computing environments.\n\n - Experience with Slurm or Kubernetes-based cluster management.\n\n - Experience with core public cloud internals (Virtualization, KVM, QEMU, Security and Fleet health)\n\n - Experience with durable execution platforms like Temporal.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"3498d4eb-0166-4364-9e5d-f33d39e8045c","title":"Senior Site Reliability Engineer - Core Cloud Platform","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-07-29T16:43:28.863+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/3498d4eb-0166-4364-9e5d-f33d39e8045c","applyUrl":"https://jobs.ashbyhq.com/lambda/3498d4eb-0166-4364-9e5d-f33d39e8045c/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

Lambda’s Core Cloud Platform powers compute provisioning and infrastructure orchestration across our physical data centers. We are looking for a Senior Site Reliability Engineer to improve the reliability, scalability, and operational maturity of these systems as Lambda’s fleet and customer base grow.

You will work across Kubernetes, infrastructure automation, observability, deployment systems, and incident response to build a resilient foundation for customer AI workloads.


What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nLambda’s Core Cloud Platform powers compute provisioning and infrastructure orchestration across our physical data centers. We are looking for a Senior Site Reliability Engineer to improve the reliability, scalability, and operational maturity of these systems as Lambda’s fleet and customer base grow.\n\nYou will work across Kubernetes, infrastructure automation, observability, deployment systems, and incident response to build a resilient foundation for customer AI workloads.\n\n\nWhat You’ll Do\n\n - Operate and scale critical platform services across Lambda’s data centers.\n\n - Improve the reliability of compute provisioning, Instance lifecycle, and regional orchestration systems.\n\n - Build monitoring, alerting, and tracing for service health, provisioning latency, and customer-impacting failures.\n\n - Define SLIs, SLOs, error budgets, and operational readiness standards.\n\n - Automate detection and remediation of configuration drift, failed workflows, and orphaned resources.\n\n - Build safe deployment, rollback, and disaster recovery workflows using infrastructure as code and GitOps.\n\n - Design fault-isolation mechanisms that reduce blast radius and prevent cascading failures.\n\n - Lead production incident response, postmortems, and durable corrective actions.\n\n - Partner with Compute, Networking, Storage, Security, and Support teams.\n\n - Participate in on-call and improve its sustainability through automation and better tooling.\n\n - Mentor engineers and raise the reliability bar across the organization.\n\nYou\n\n - Have 7+ years of experience in site reliability, infrastructure, distributed systems, or production software engineering.\n\n - Have deep experience operating Kubernetes in production.\n\n - Understand Kubernetes architecture, scheduling, networking, resource management, upgrades, and common failure modes.\n\n - Have experience with physical data centers, private cloud, hybrid cloud, or environments without full reliance on managed services.\n\n - Are proficient with Terraform or similar infrastructure-as-code tools.\n\n - Have built CI/CD or GitOps workflows using tools such as Argo CD, Flux, Helm, or Kustomize.\n\n - Have experience with observability platforms such as OpenTelemetry, Prometheus, Grafana, or Datadog.\n\n - Can build production-quality tooling in Go, Python, or a similar language.\n\n - Understand distributed systems concepts including consistency, retries, idempotency, backpressure, and partial failure.\n\n - Have experience defining and operating against SLIs and SLOs.\n\n - Can lead effectively during high-severity incidents.\n\n - Approach recurring operational issues as engineering and automation problems.\n\n - Communicate clearly and work effectively across teams.\n\n - Bring strong ownership, sound judgment, and low ego.\n\nNice to Have\n\n - Experience with AI infrastructure, GPU platforms, or high-performance computing.\n\n - Experience operating distributed systems across multiple regions or data centers.\n\n - Experience with Kubernetes controllers, operators, CRDs, admission control, or scheduler extensions.\n\n - Experience with etcd performance, backup, restore, or disaster recovery.\n\n - Experience with Linux systems, container runtimes, cgroups, storage, or networking.\n\n - Experience with chaos engineering, fault injection, or automated remediation.\n\n - Experience with Kubernetes RBAC, OIDC, workload identity, or certificate management.\n\n - Familiarity with SOC 2, ISO 27001, or similar compliance frameworks.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"80953585-1ef8-4073-91fb-75888a61f8c6","title":"Senior Software Engineer - SDN","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[],"publishedAt":"2026-07-30T15:50:00.589+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/80953585-1ef8-4073-91fb-75888a61f8c6","applyUrl":"https://jobs.ashbyhq.com/lambda/80953585-1ef8-4073-91fb-75888a61f8c6/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

We are looking for an experienced Software Engineer to help design and build the next generation of our network platform. In this role, you will develop the systems, services, and automation that power our software-defined network across data centers and cloud environments. You will work deeply within the Linux networking stack, build SDN integrations, and create the tools and services that make our network programmable, reliable, and scalable. If you enjoy solving complex distributed systems challenges and working at the intersection of software and networking, this role is for you.

What You'll Do

You

Nice To Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nWe are looking for an experienced Software Engineer to help design and build the next generation of our network platform. In this role, you will develop the systems, services, and automation that power our software-defined network across data centers and cloud environments. You will work deeply within the Linux networking stack, build SDN integrations, and create the tools and services that make our network programmable, reliable, and scalable. If you enjoy solving complex distributed systems challenges and working at the intersection of software and networking, this role is for you.\n\n\nWhat You'll Do\n\n - Design and build software to scale Lambda’s high performance multi-tenant cloud network\n\n - Develop reproducible automation and tooling for network configuration and deployments\n\n - Implement and operate Software Defined Networking services and related control-plane software\n\n - Engineer highly available network services through observability, failover, and redundancy features\n\n - Deliver predictable networking performance for clients via software-driven network engineering solutions\n\n - Develop, integrate, and maintain network monitoring and management tools and services\n\n - Participate in on-call and contribute to incident response tooling and automation\n\nYou\n\n - 5+ years of professional software engineering experience, ideally in systems, infrastructure, or networking-focused domains.\n\n - Demonstrated experience designing and implementing production-scale Software Defined Networking (SDN) systems, ideally with AWS VPC–like functionality (e.g., routing, security groups, overlays, peering).\n\n - Hands-on experience building and maintaining SDN platforms using technologies such as OpenStack Neutron, OVN, or similar network virtualization frameworks.\n\n - Deep understanding of the Linux networking stack, including namespaces, routing, iptables/nftables, network virtualization, SR-IOV, and DPDK, with the ability to reason from a systems programming perspective.\n\n - Proficiency with the Linux command line and strong understanding of networking concepts from a software engineering viewpoint.\n\n - Experience working with multi–data center and hybrid cloud networking environments, with an emphasis on automation and software-driven control planes.\n\n - 5+ years of software development experience in C, Go, or Python for building network services, tooling, and automation.\n\n - Experience working with CI/CD pipelines, automated testing, and deployment systems; strong familiarity with Git, and experience operating in GitOps-driven environments for infrastructure or network configuration.\n\n - Prior involvement in on-call rotations, incident response, and building tools to improve network or system reliability.\n\n - Experience deploying, operating, and automating applications on Kubernetes, including building supporting services or tooling for networking and lifecycle management.\n\nNice To Have\n\n - Experience automating network configuration within public clouds using tools like Kubernetes, HELM, Terraform, and Ansible\n\n - Understanding of the SDN ecosystem (e.g. OVS, Neutron, VMware NSX, Cisco ACI or Nexus Fabric Controller, Arista CVP) and how to integrate with it programmatically\n\n - Have experience working with and building automation around Spine and Leaf (Clos) network topology\n\n - Have experience and understanding of BGP EVPN VXLAN networks and have automated their configuration or monitoring\n\n - Experience with building and maintaining multi-data center networks, SD-WAN, DWDM, and related automation\n\n - Experience integrating and automating policy and configuration for Next-Generation Firewalls (NGFW)\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"061cf79b-0e95-4082-8805-5822499441f1","title":"Senior Solution Engineer","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-08-03T22:30:52.901+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/061cf79b-0e95-4082-8805-5822499441f1","applyUrl":"https://jobs.ashbyhq.com/lambda/061cf79b-0e95-4082-8805-5822499441f1/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

The Lambda Cloud GTM team powers our growth by enabling customers to realize their business goals with AI infrastructure. We partner with leading AI researchers and enterprise engineering teams to design, scale, and optimize high-performance GPU cloud solutions. Driven by technical mastery, agility, and a customer-first mindset, our team turns massive compute challenges into seamless, production-ready AI infrastructure.

 

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nThe Lambda Cloud GTM team powers our growth by enabling customers to realize their business goals with AI infrastructure. We partner with leading AI researchers and enterprise engineering teams to design, scale, and optimize high-performance GPU cloud solutions. Driven by technical mastery, agility, and a customer-first mindset, our team turns massive compute challenges into seamless, production-ready AI infrastructure.\n\n \n\nWhat You’ll Do\n\n - Drive technical sales & executive influence\n \n - Partner with Account Executives to lead complex deals with large enterprises and digital native businesses and build trusted relationships with technical leaders (CTOs, Heads of AI/ML, Platform Leads)\n \n - Evaluate customer architectural needs, uncover potential bottlenecks, and design end-to-end GPU cloud solutions\n \n - Author comprehensive proposals & architecture diagrams and collaborate with teams on Bill of Materials (BOMs), and rack elevations for multi-node GPU clusters\n\n - Lead hands-on proof-of-concept (PoC) activities & benchmarking for customers\n \n - Design, execute, and deliver technical PoCs and custom prototypes to demonstrate Lambda’s performance, reliability, and value\n \n - Run benchmark evaluations across training and inference workloads to show tangible performance and cost advantages over competitors\n\n - Architect & optimize AI/ML workloads\n \n - Guide enterprise engineering teams on structuring their AI lifecycle—from data ingestion and distributed training (SLURM, Kubernetes) to inference optimization (vLLM, TensorRT-LLM) and observability\n \n - Provide architectural guidance on high-performance networking (InfiniBand, RoCE), distributed storage, and cluster topologies to ensure maximum GPU utilization\n\n - Champion customer feedback & product advocacy\n \n - Serve as the technical voice of the customer internally, funneling field insights, product gaps, and feature requests directly to Lambda’s Product and Engineering teams\n \n - Create field enablement assets, technical whitepapers, architectural blueprints, and lead technical workshops for prospective clients & partners\n \n - Represent Lambda as a subject matter expert at industry conferences, webinars, and technical community events\n\n - Reinforce Lambda’s culture\n \n - Contribute positively throughout the organization\n \n - Maintain a high level of agility and responsiveness\n \n - Hyper-focused on customer satisfaction\n\nYou\n\n - Have a proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures (e.g., HGX platforms, NVLink) using deep learning frameworks (PyTorch, NeMo) and inference engines (vLLM, TensorRT-LLM)\n\n - Have 8+ years of experience designing, deploying, and scaling enterprise cloud infrastructure\n\n - Have 4+ years in a Solution Architect, Solution Engineer, or technical customer-facing capacity supporting complex cloud environments\n\n - Have 3+ years of hands-on experience architecting and deploying cloud-based AI/ML workloads\n\n - Have strong experience with modern infrastructure orchestration tools such as Kubernetes, Docker, SLURM, Terraform, and Ansible\n\n - Have deep knowledge of cloud networking concepts, including high-speed interconnects (InfiniBand, RoCE), distributed file systems (NFS, NVMe-oF, Weka, VAST), security, and cost optimization\n\n - Have experience coding in Python, Go, C/C++ (CUDA) or similar programming language\n\n - Have experience partnering with Account Executives to close complex cloud deals, present technical architectures to C-level stakeholders (CTOs, VP of Eng), and drive customer alignment\n\n - Have demonstrated impact at an organizational/multi-departmental level and are effective mentoring junior SEs or architects\n\n - Thrive in dynamic settings and embrace radical ownership of initiatives and outcomes\n\nNice to Have\n\n - Direct experience with end-to-end LLM fine-tuning, algorithm selection, pipeline design, or distributed training setups (3D parallelism, Megatron-LM)\n\n - Prior experience with product launches, leading GTM initiatives, or publishing technical whitepapers/benchmarks\n\n - Experience integrating RESTful APIs, gRPC, and service-oriented cloud architectures\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"f0d8b975-8abe-41eb-bd42-b87d7b23a954","title":"Senior Auditor - Finance and Operations","department":"G&A","team":"Internal Audit","employmentType":"FullTime","location":"San Jose Office (First St)","secondaryLocations":[{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-29T18:56:08.651+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f0d8b975-8abe-41eb-bd42-b87d7b23a954","applyUrl":"https://jobs.ashbyhq.com/lambda/f0d8b975-8abe-41eb-bd42-b87d7b23a954/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

We are seeking an experienced Senior Auditor - Finance and Operations to join our Internal Audit function, reporting directly to the Head of Internal Audit. This role is calibrated to Manager-level experience at a Big Four firm, or equivalent internal audit experience in industry: you will independently execute SOX testing and advisory work across several core financial and operational processes - Financial Close & Reporting, Revenue & Billing, Procurement & Payments, Treasury, Payroll, Fixed Assets, Tax, Leases, Equity & Stock Compensation, Sales Commissions, and Inventory - reviewing testing performed by co-sourced or junior team members, as Lambda builds a public-company-ready internal controls environment.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nNote: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nWe are seeking an experienced Senior Auditor - Finance and Operations to join our Internal Audit function, reporting directly to the Head of Internal Audit. This role is calibrated to Manager-level experience at a Big Four firm, or equivalent internal audit experience in industry: you will independently execute SOX testing and advisory work across several core financial and operational processes - Financial Close & Reporting, Revenue & Billing, Procurement & Payments, Treasury, Payroll, Fixed Assets, Tax, Leases, Equity & Stock Compensation, Sales Commissions, and Inventory - reviewing testing performed by co-sourced or junior team members, as Lambda builds a public-company-ready internal controls environment.\n\nWhat You’ll Do\n\n - SOX Financial Process Controls & Assurance\n \n - Plan, execute, and document SOX walkthroughs and control design/operating effectiveness testing across assigned financial and operational process areas, exercising independent judgment on complex or ambiguous control questions.\n \n - Contribute to the annual SOX scoping and risk assessment process for assigned process areas, in alignment with the overall ICFR program.\n \n - Maintain ICFR/SOX 404 documentation for assigned processes, including COSO framework mapping, process and control narratives/flowcharts, and risk and controls matrices.\n \n - Review the testing work of co-sourced resources or junior team members for quality, completeness, and adherence to methodology.\n \n - Coordinate evidence collection and remediation efforts, holding process owners accountable to agreed timelines.\n \n - Identify control deficiencies, evaluate severity and root cause, and partner with Finance and business leadership to design and validate effective remediation.\n \n - Apply professional skepticism to independently evaluate and conclude on control design and operating effectiveness.\n\n - Operational & Advisory Audits\n \n - Execute internal audit and advisory projects on operational risk areas beyond core SOX scope - such as revenue/billing reconciliation, vendor and Service Level Agreement (SLA) controls, and contract-related financial risk.\n \n - Advise Finance, Revenue, Procurement, and Operations process owners on control design for new products, systems, or contract structures.\n \n - Contribute to components of Lambda’s Enterprise Risk Management (ERM) process, including risk identification, assessment, and prioritization workshops.\n\n - Control Evaluation & Remediation\n \n - Assess the severity and impact of control deficiencies, including evaluation of aggregation and compensating controls.\n \n - Work with Controllership, FP&A, Revenue, Procurement, and Treasury process owners to develop, track, and validate remediation plans.\n \n - Recommend process improvements and efficiency opportunities while maintaining control effectiveness.\n\n - Stakeholder Collaboration\n \n - Serve as the day-to-day liaison with Finance, Accounting, Procurement, Treasury, and business process owners on SOX and assurance activities for assigned areas.\n \n - Support external auditors during financial-process SOX testing for assigned areas, providing evidence, walkthroughs, and context as needed.\n \n - Provide guidance to process owners, and informal coaching to co-sourced or junior team members, on control requirements and leading practices.\n\n - Reporting & Communication\n \n - Prepare clear workpapers, findings summaries, and status updates for the Head of Internal Audit, including materials to support Audit Committee reporting.\n \n - Communicate control issues and remediation status in clear, business-oriented language to finance and non-finance stakeholders.\n \n - Monitor relevant accounting, regulatory, and industry developments (e.g., revenue recognition, PCAOB guidance) that may affect assigned process areas.\n\nYou\n\n - Education & Certification\n \n - Bachelor’s degree in Accounting, Finance, or related field.\n \n - CPA or CIA strongly preferred.\n\n - Experience\n \n - 8+ years of progressive experience in internal audit, external audit, or accounting/SOX compliance, at a level equivalent to Manager at a Big Four accounting firm, or an internal audit professional with comparable scope and seniority in industry.\n \n - Big Four accounting firm or equivalent experience in Internal or External Audit, including experience reviewing and directing the work of junior staff.\n \n - Deep working knowledge of COSO framework, ICFR, internal audit methodology, and IIA standards.\n \n - Experience independently leading testing of financial close, revenue, procurement, treasury, or other core business-process controls.\n \n - Demonstrated experience in enterprise risk management and operational (non-SOX) audit work.\n\n - Skills & Competencies\n \n - Strong analytical skills, with the ability to independently evaluate financial and operational risk across complex, fast-changing processes.\n \n - Excellent communication and interpersonal skills to effectively engage with, and influence, both finance and non-finance senior stakeholders.\n \n - Proven ability to review and quality-check the work of junior team members or co-sourced resources, even without formal direct reports.\n \n - Organized, detail-oriented, and able to manage multiple concurrent process areas in a dynamic, fast-growth environment with minimal oversight.\n\nNice to Have\n\n - Experience with usage-based, subscription, or long-term/take-or-pay revenue models, and related revenue recognition considerations (e.g., ASC 606).\n\n - Prior experience in a fast-growth or pre-IPO organization, building or scaling a SOX program ahead of public-company readiness.\n\n - Experience with data analytics tools (e.g., SQL, ACL, Power BI, Python) to enhance testing efficiency and insights.\n\n - Experience with audit management tools (e.g., AuditBoard, Archer, Workiva).\n\n - Exposure to data centre, cloud infrastructure, or other capital-intensive business models.\n\n - Prior involvement in ERM program design or risk assessment workshops.\n\n - Experience presenting findings to senior leadership or an Audit Committee.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"db9b7c65-a029-43b2-9b74-5399458b2e34","title":"Engineering Manager, Identity & Access Management (IAM)","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-07-29T18:12:36.807+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/db9b7c65-a029-43b2-9b74-5399458b2e34","applyUrl":"https://jobs.ashbyhq.com/lambda/db9b7c65-a029-43b2-9b74-5399458b2e34/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

Customers trust Lambda with their infrastructure, workloads, and data. Security is foundational to earning that trust, and Identity and Access Management is at the heart of it – the control plane that determines who and what can access every Lambda resource. Enterprise and hyperscaler customers require the ability to federate their corporate identities, manage human and machine access, enforce least privilege, protect data with keys they control, and audit activity across their environments.

We are looking for an Engineering Manager to lead the Identity and Access Management team and define how identity, authentication, authorization, and key-management services are built and scaled across Lambda Cloud. This team owns the foundational identity and authorization services on the critical path for every Lambda product – spanning APIs, Console, Kubernetes products, and cloud services – including identity federation, SSO, SCIM, users and groups, service and workload identities, RBAC, resource hierarchy, policy enforcement, and audit integration.

This is a technically engaged leadership role. You will own execution, team health, and organizational direction working with technical leadership on architecture, strategy and design decisions for services that must be highly available, low latency and resilient.

You will also drive alignment across Security, Product, Compliance, and customer-facing teams to build durable platform capabilities that are adopted consistently across Lambda’s services.

This role is ideal for an engineering leader who has built security-critical distributed systems and wants to shape the identity and access foundation of a fast-growing cloud platform.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nCustomers trust Lambda with their infrastructure, workloads, and data. Security is foundational to earning that trust, and Identity and Access Management is at the heart of it – the control plane that determines who and what can access every Lambda resource. Enterprise and hyperscaler customers require the ability to federate their corporate identities, manage human and machine access, enforce least privilege, protect data with keys they control, and audit activity across their environments.\n\nWe are looking for an Engineering Manager to lead the Identity and Access Management team and define how identity, authentication, authorization, and key-management services are built and scaled across Lambda Cloud. This team owns the foundational identity and authorization services on the critical path for every Lambda product – spanning APIs, Console, Kubernetes products, and cloud services – including identity federation, SSO, SCIM, users and groups, service and workload identities, RBAC, resource hierarchy, policy enforcement, and audit integration.\n\nThis is a technically engaged leadership role. You will own execution, team health, and organizational direction working with technical leadership on architecture, strategy and design decisions for services that must be highly available, low latency and resilient. \n\nYou will also drive alignment across Security, Product, Compliance, and customer-facing teams to build durable platform capabilities that are adopted consistently across Lambda’s services.\n\nThis role is ideal for an engineering leader who has built security-critical distributed systems and wants to shape the identity and access foundation of a fast-growing cloud platform.\n\nWhat You’ll Do\n\n - Build, lead, and grow the IAM engineering team. Hire exceptional engineers, develop technical leaders, and create a culture of ownership and high engineering standards.\n\n - Work closely with the IAM technical leaders to define and deliver the long-term technical and architectural strategy for Lambda’s IAM platform.\n\n - Build secure, scalable identity capabilities for people, services, and workloads from federation and SSO to service and workload identity.\n\n - Evolve the authorization platform – RBAC, policy evaluation, and resource hierarchy with least privilege and auditability as defaults.\n\n - Make IAM easy to adopt across every Lambda service through consistent APIs, resource and action models, and integration standards.\n\n - Build and own Lambda’s Key Management Service, including customer-managed keys, HSM-backed protection, key lifecycle controls, and integration across compute, storage, and networking.\n\n - Own the reliability, security, performance, and operations of mission-critical IAM services including observability, safe rollouts, incident response, and disaster recovery.\n\n - Translate enterprise requirements into durable platform capabilities, and communicate strategy, delivery, risk, and operational health clearly to senior leadership.\n\n - Balance the complexity and flexibility required for enterprise-grade IAM with simple, intuitive experiences for customers with varying levels of identity and access expertise.\n\nYou\n\n - Have 9+ years of professional software engineering experience, including 3+ years leading and developing engineering teams in a fast-paced environment.\n\n - Have built and operated large-scale distributed systems with high availability, security, and reliability requirements.\n\n - Bring strong technical judgment across cloud infrastructure and IAM — authentication, authorization, workload identity, privileged access, and policy enforcement.\n\n - Can engage deeply in architecture, pressure-test designs, and guide tradeoffs across security, correctness, scale, performance, and operability.\n\n - Have a strong track record of building high-performing teams and developing engineers and technical leaders through periods of growth and change.\n\n - Have driven cross-functional platform or security initiatives and influenced teams and leaders without direct authority.\n\n - Can turn ambiguous infrastructure problems into clear strategy, pragmatic execution, and broadly adopted platform capabilities.\n\n - Communicate clearly with technical and non-technical stakeholders and set a high bar for engineering quality, operational discipline, and ownership.\n\n - Hold a BS, MS, or PhD in Computer Science or a related technical field, or have equivalent practical experience.\n\nNice to Have\n\n - Experience with public-cloud or multi-tenant IAM, authorization/policy engines, or security token services.\n\n - Experience with KMS, HSMs, customer-managed keys, secrets management, or encryption platforms.\n\n - Experience supporting enterprise or regulated customers, or building foundational platforms in a high-growth environment.\n\n - Experience supporting compliance programs such as SOC 2 or translating compliance requirements into platform capabilities.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"f349200b-3a76-4721-9b16-2b469ee5d5f5","title":"Commodity Sourcing Manager – AI Infrastructure","department":"Data Center Business","team":"Supply Chain","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-09-04T16:27:00.245+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f349200b-3a76-4721-9b16-2b469ee5d5f5","applyUrl":"https://jobs.ashbyhq.com/lambda/f349200b-3a76-4721-9b16-2b469ee5d5f5/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose, San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

We are seeking an experienced Commodity Sourcing Manager to own sourcing strategy, supplier negotiations, and supply assurance for critical commodities across our rapidly growing AI Data Center Supply Chain.

This individual contributor role owns the end-to-end commercial and sourcing relationship for a defined commodity or set of commodities within the AI compute ecosystem — spanning categories such as custom silicon, GPUs/CPUs, network hardware, power and cooling infrastructure (CDUs, PDUs, racks), and memory/storage. Commodity assignments will flex based on business need, and the ideal candidate is a versatile sourcing professional capable of ramping quickly across the full range of hardware that goes into a GPU rack, rather than a specialist in a single technology domain.

You will drive negotiations, manage supplier performance, and build sourcing strategies that ensure supply continuity, cost competitiveness, and scalability as our infrastructure grows. The ideal candidate combines strong general technical fluency across hardware and infrastructure components with sharp commercial instincts — equally comfortable running a multi-million to multi-billion-dollar negotiation as they are digging into component-level technical detail with engineering partners, regardless of the underlying technology.

You will work closely with Engineering, Hardware, Data Center Infrastructure, Supply Chain Planning, Finance, Legal, and Operations to secure supply, optimize commercial terms, and manage risk across your assigned commodities.


What You’ll Do

Commodity Sourcing Strategy

Commercial Negotiation & Contracting

Supplier Management

Cross-Functional Partnership

Risk, Cost & Supply Resilience

You

Nice To Have

We Are Looking for Someone Who Is:

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose, San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nWe are seeking an experienced Commodity Sourcing Manager to own sourcing strategy, supplier negotiations, and supply assurance for critical commodities across our rapidly growing AI Data Center Supply Chain.\n\nThis individual contributor role owns the end-to-end commercial and sourcing relationship for a defined commodity or set of commodities within the AI compute ecosystem — spanning categories such as custom silicon, GPUs/CPUs, network hardware, power and cooling infrastructure (CDUs, PDUs, racks), and memory/storage. Commodity assignments will flex based on business need, and the ideal candidate is a versatile sourcing professional capable of ramping quickly across the full range of hardware that goes into a GPU rack, rather than a specialist in a single technology domain.\n\nYou will drive negotiations, manage supplier performance, and build sourcing strategies that ensure supply continuity, cost competitiveness, and scalability as our infrastructure grows. The ideal candidate combines strong general technical fluency across hardware and infrastructure components with sharp commercial instincts — equally comfortable running a multi-million to multi-billion-dollar negotiation as they are digging into component-level technical detail with engineering partners, regardless of the underlying technology.\n\nYou will work closely with Engineering, Hardware, Data Center Infrastructure, Supply Chain Planning, Finance, Legal, and Operations to secure supply, optimize commercial terms, and manage risk across your assigned commodities.\n\n\nWhat You’ll Do\n\nCommodity Sourcing Strategy\n\n - Own and execute sourcing strategy for assigned commodities within the AI infrastructure stack, which may include custom silicon, GPUs/CPUs, network hardware, power/cooling infrastructure, memory/storage, or other hardware categories that go into a GPU rack.\n\n - Develop category strategies aligned to roadmap requirements, capacity forecasts, and long-term infrastructure growth, regardless of the specific technology domain.\n\n - Identify and drive supply diversification, second-source development, and risk mitigation plans for constrained or fast-scaling categories.\n\n - Build and maintain market intelligence across assigned commodities, including supply/demand dynamics, capacity constraints, technology roadmaps, and competitive landscape.\n\n - Quickly ramp technical and market fluency in new commodity areas as business needs and assignments evolve.\n\nCommercial Negotiation & Contracting\n\n - Lead commercial negotiations with hardware and component suppliers, including:\n \n - Master supply and purchase agreements\n \n - Capacity commitments and allocation frameworks\n \n - Pricing, cost-downs, and cost structures\n \n - Non-recurring engineering (NRE) and design/tooling agreements\n \n - Service, quality, and performance terms\n\n - Build and execute negotiation strategies that balance cost, supply security, and flexibility, applying consistent commercial rigor across different commodity types.\n\n - Partner with Legal and Finance to structure and finalize contracts and commercial terms.\n\nSupplier Management\n\n - Manage day-to-day and executive-level relationships with strategic suppliers across assigned commodities.\n\n - Lead supplier business reviews, scorecards, escalation management, and performance improvement plans.\n\n - Partner with suppliers on capacity planning, allocation, roadmap alignment, and supply readiness.\n\n - Serve as the primary point of contact and escalation owner for assigned commodities.\n\n\nCROSS-FUNCTIONAL PARTNERSHIP\n\n - Partner with Engineering and Hardware teams to translate technical and roadmap requirements into sourcing and commercial strategies, regardless of the underlying technology.\n\n - Work with Supply Chain Planning to align supplier capacity and lead times with demand forecasts.\n\n - Support new product introductions, qualification timelines, and capacity ramps across GPU rack-level hardware.\n\n - Provide commodity market insight and recommendations to leadership on sourcing risk, cost trends, and supply strategy.\n\nRisk, Cost & Supply Resilience\n\n - Develop and maintain supply continuity plans that address:\n \n - Cost optimization\n \n - Capacity availability and allocation risk\n \n - Lead-time and component-level constraints\n \n - Geographic and geopolitical risk\n \n - Supplier financial and operational risk\n\n - Proactively identify and mitigate supply risk across assigned commodities, adapting risk frameworks to the specific dynamics of each category.\n\nYou\n\n - 8+ years of experience in Commodity Management, Strategic Sourcing, Procurement, or Supply Chain roles, with experience across one or more hardware or component categories relevant to data center or compute infrastructure (e.g., semiconductors, networking, power/cooling, memory/storage, mechanical/electrical systems).\n\n - Demonstrated experience negotiating and managing supply agreements with hardware component manufacturers, OEMs, or ODMs.\n\n - Ability to quickly build technical fluency in new commodity or technology areas.\n\n - Proven track record leading complex commercial negotiations and delivering measurable cost and supply outcomes.\n\n - Strong analytical, financial, and business acumen.\n\n - Experience operating in constrained, long-lead-time, high-growth supply environments.\n\n - Ability to build effective relationships with senior supplier stakeholders and internal cross-functional partners.\n\nNice To Have\n\n - Experience sourcing across multiple commodity types within AI/ML or hyperscale data center infrastructure (e.g., silicon, networking, power/cooling, memory/storage).\n\n - Demonstrated versatility moving between commodity domains over the course of a career, rather than deep specialization in a single technology.\n\n - Experience supporting hyperscale data center or AI infrastructure programs.\n\n - Background partnering with hardware/systems engineering teams on NRE, qualification, or co-development agreements.\n\n - Bachelor's degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus.\n\nWe Are Looking for Someone Who Is:\n\n - A generalist sourcing professional who can ramp quickly across different hardware technologies and commodity types\n\n - Technically curious and commercially sharp — able to move fluidly between technical detail and high-stakes negotiation, regardless of domain\n\n - Data-driven, decisive, and execution-oriented\n\n - A strong relationship builder with suppliers and internal stakeholders\n\n - Comfortable operating with a high degree of ownership in a fast-growth, ambiguity-rich environment\n\n - Willing to personally drive negotiations, supplier escalations, and problem-solving day to day\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"8311101a-2871-48ac-8b3d-dd055ad23098","title":"Internal Audit Lead - Finance & Operations","department":"G&A","team":"Internal Audit","employmentType":"FullTime","location":"San Jose Office (First St)","secondaryLocations":[{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-08-04T17:05:46.877+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/8311101a-2871-48ac-8b3d-dd055ad23098","applyUrl":"https://jobs.ashbyhq.com/lambda/8311101a-2871-48ac-8b3d-dd055ad23098/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

We are seeking a motivated and detail-oriented Internal Audit Lead – Finance & Operations to join our Internal Audit function. This individual will be responsible for leading the SOX testing program for finance and operations related controls, strengthening the company’s internal control over financial reporting (ICFR). This is a Senior level role that combines hands-on testing and evaluation with leadership, oversight, and stakeholder engagement.

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nWhat You’ll Do\n\nWe are seeking a motivated and detail-oriented Internal Audit Lead – Finance & Operations to join our Internal Audit function. This individual will be responsible for leading the SOX testing program for finance and operations related controls, strengthening the company’s internal control over financial reporting (ICFR). This is a Senior level role that combines hands-on testing and evaluation with leadership, oversight, and stakeholder engagement.\n\n - ICFR Program – Finance Controls\n \n - Lead the planning and execution of the annual testing program for finance and accounting processes (e.g., revenue recognition, procure-to-pay, record-to-report, treasury, payroll, etc.).\n \n - Lead and perform process walkthroughs, design assessments, and testing of key controls over financial reporting.\n \n - Review the work of co-sourced and internal testers, ensuring quality, accuracy, and consistency of testing results.\n \n - Partner with finance process owners to validate control design and address evolving risks and business changes.\n \n - Coordinate with cross-functional teams including finance and accounting to assess design and recommend design improvements or enhance systems and processes to achieve compliance and improve overall control effectiveness. Drive projects focused on addressing control gaps and proactively preparing for future control requirements.\n \n - Monitor changes to business processes and apply independent judgement to evaluate the potential impact to the control environment and recommend necessary improvements. Present the impact of the changes to the Head of Internal audit and other stakeholders prior to implementation.\n \n - Manage and update all ICFR / SOX 404 documentation as required including COSO framework mapping, process and control narratives/flowcharts, risk and controls matrix, and testing approach.\n \n - Apply professional skepticism and subject matter expertise to independently evaluate and conclude on control deficiencies and develop the necessary remediation actions and monitor their implementation in due time\n\n - Control Evaluation & Remediation\n \n - Identify, assess, and document control deficiencies, including evaluation of severity and impact.\n \n - Work with finance and cross functional managers and process owners to develop, track, and validate timely remediation plans.\n \n - Recommend process improvements and efficiency opportunities while maintaining control effectiveness.\n\n - Stakeholder Collaboration\n \n - Serve as the primary point of contact for ICFR and SOX testing for finance and process controls.\n \n - Provide training, guidance and day to day advisory support to finance process owners on SOX compliance expectations and best practices.\n\n - Reporting & Communication\n \n - Prepare concise, high-quality reports on testing results, deficiencies, and remediation progress for review with the Head of Internal Audit.\n \n - Contribute to updates and presentations to senior management and the Audit Committee on SOX program status.\n\nYou\n\n - Education & Certification\n \n - Bachelor’s degree in Accounting, Finance, or related field required.\n \n - CPA, CIA, or CISA certification strongly preferred.\n\n - Experience\n \n - 10+ years of progressive experience in internal audit, external audit, or SOX program management, with at least 2+ years in a managerial / supervisory role.\n \n - Big Four accounting firm or equivalent experience in Internal or External Audit practice.\n \n - Deep expertise in SOX, ICFR, and various risk-based audit approaches, Internal audit methodology and IIA standards.\n \n - Strong knowledge of COSO, PCAOB standards, U.S. GAAP, and regulatory requirements.\n \n - Experience in preparing executive presentations for senior level stakeholders.\n \n - Proficiency in audit management tools (e.g. AuditBoard, Workiva) and other project management tools (e.g. JIRA)\n \n - Proficiency with ERP systems as well as financial close tools and their impact on internal controls and SOX compliance.\n\n - Skills & Competencies\n \n - Proven leadership skills, with the ability to inspire and manage teams, including co-sourced providers.\n \n - Exceptional communication and executive presence to influence senior stakeholders.\n \n - Strong strategic thinking, with the ability to balance risk management, compliance, and operational efficiency.\n \n - Highly organized, with the ability to manage complex projects and competing priorities.\n\nNice to Have\n\n - Experience with data analytics and automated testing tools to enhance SOX testing efficiency and insights.\n\n - Exposure to emerging technologies such as cloud computing, cybersecurity, and RPA, and their control implications.\n\n - Prior experience working in a fast-growth or global organization, adapting SOX programs to evolving structures and complexity.\n\n - History of partnering with external auditors on reliance strategies to optimize testing and reduce duplication.\n\n - Involvement in internal audit transformation initiatives, such as methodology modernization.\n\n - Active participation in professional organizations (e.g., IIA, ISACA) and staying current on regulatory and industry trends.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"d910e6b0-300f-4ebc-89f5-ba5adc9a3bfe","title":"Senior Site Reliability Engineer - Storage","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-08-10T18:43:02.426+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/d910e6b0-300f-4ebc-89f5-ba5adc9a3bfe","applyUrl":"https://jobs.ashbyhq.com/lambda/d910e6b0-300f-4ebc-89f5-ba5adc9a3bfe/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


Lambda's Storage Engineering team is the backbone behind our world-class storage offerings, operating at a scale seldom seen in today's markets. We own the full spectrum of Lambda's data platform services—from low-level storage systems to the APIs and tooling our customers build on every day.

Our work directly powers some of the most demanding compute workloads in the industry, which means reliability and performance aren't just goals—they're the baseline. We're looking for engineers who want to solve problems at scale, own critical systems end to end, and help shape the future of infrastructure for AI and beyond

 

What You’ll Do

You Have

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nLambda's Storage Engineering team is the backbone behind our world-class storage offerings, operating at a scale seldom seen in today's markets. We own the full spectrum of Lambda's data platform services—from low-level storage systems to the APIs and tooling our customers build on every day.\n\nOur work directly powers some of the most demanding compute workloads in the industry, which means reliability and performance aren't just goals—they're the baseline. We're looking for engineers who want to solve problems at scale, own critical systems end to end, and help shape the future of infrastructure for AI and beyond\n\n \n\nWhat You’ll Do\n\n - Own the reliability, performance, and capacity health of Lambda's production storage fleet across all data centers, operating behind Lambda's own software-defined data plane.\n\n - Build and maintain monitoring, dashboards, and alerting for storage performance, capacity, and hardware failures.\n\n - Investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling — from a single flapping NIC to a cluster-wide rebuild.\n\n - Automate ticketing, escalation, and incident-response workflows so the team spends less time on repetitive triage and more time on root cause.\n\n - Design and maintain self-healing automation for common failure modes: drive replacement, node swaps, rebuild monitoring, and capacity rebalancing.\n\n - Implement CI/CD pipelines for storage automation and tooling.\n\n - Partner with Storage Engineers, Fleet Orchestration, and Release Engineering to automate the deployment and configuration of software-defined storage across new and existing sites using tools such as Ansible, Jenkins etc.\n\n - Work with hardware and networking teams to diagnose low-level I/O and network issues — NIC errors, RDMA/RoCE/InfiniBand fabric health, path multipathing — that surface as storage-layer symptoms.\n\n - Participate in an on-call rotation supporting Lambda's storage fleet, with a focus on driving down MTTR and building the automation that keeps you from getting paged for the same thing twice.\n\n\nYOU HAVE\n\n - 5+ years of experience operating Linux systems in production or HPC environments, with hands-on storage experience at scale on scale-out or software-defined platforms (e.g., CEPH, Lustre, GPFS, or similar).\n\n - Hands-on experience operating Software-Defined Storage (SDS) platforms at scale, including integrating with their management and data-plane APIs.\n\n - Strong incident-response instincts: comfortable owning a production storage incident end to end, from first alert through root cause to postmortem.\n\n - Working experience with monitoring and logging platforms such as Prometheus, Grafana, Alertmanager, Datadog, or SumoLogic — including building dashboards and alert/pager routing for multiple audiences.\n\n - Working experience with Kubernetes (GitOps tooling such as ArgoCD, Helm/Kustomize) and hands-on troubleshooting.\n\n - Working experience with CI/CD tooling (GitHub Actions, Jenkins, BuildKite), containerization (Docker/Podman), and systems programming in Python or Go.\n\n - Working experience with Infrastructure as Code (Terraform, Ansible).\n\n - Solid understanding of core storage protocols across file (NFS, SMB), object (S3), block (NVMe-oF/TCP), and structured (vector DB, SQL) storage.\n\nNice to Have\n\n - Experience with cutting-edge software-defined storage solutions such as VAST or Weka.\n\n - Enterprise storage expertise in solutions such as NetApp, Dell PowerScale, GPFS, or Lustre.\n\n - Experience writing or operating Kubernetes CSI drivers.\n\n - Experience with SR-IOV and virtualization (KVM/QEMU).\n\n - Experience with GPUDirect Storage, RDMA, InfiniBand, or RoCE networking.\n\n - Familiarity with NIC-level diagnostics (ethtool, mlxlink) and fleet-wide operations tooling (clush or similar).\n\n - Contributions to open-source storage projects.\n\n\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"97c2c56b-5088-48c2-88c2-cd6702ebdb67","title":"Staff Technical Program Manager - Business Technology","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-08-21T17:19:20.501+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/97c2c56b-5088-48c2-88c2-cd6702ebdb67","applyUrl":"https://jobs.ashbyhq.com/lambda/97c2c56b-5088-48c2-88c2-cd6702ebdb67/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday


Business Technology at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope spans enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.

We are hiring an IT Technical Program Manager to run the programs that make this portfolio move. You will be the first dedicated program management hire in Business Technology, building our portfolio operating model from the ground up: intake, prioritization, delivery cadence, and change management discipline. Business Technology is delivering a business transformation with roughly ten new enterprise systems this year and a growing integration and data footprint. You will drive cross-functional programs from kickoff through go-live and hypercare, and be the connective tissue between our five pillars: Finance Systems, GTM Systems, Data Platform and Analytics, IT Operations, and People Technology.

This is a hands-on delivery role for someone who runs programs with rigor, communicates crisply to executives, and holds vendors, partners, and internal teams accountable to dates. You will personally carry our largest programs while building the lightweight structures that make every subsequent program faster.


What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday\n\n\nBusiness Technology at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope spans enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.\n\nWe are hiring an IT Technical Program Manager to run the programs that make this portfolio move. You will be the first dedicated program management hire in Business Technology, building our portfolio operating model from the ground up: intake, prioritization, delivery cadence, and change management discipline. Business Technology is delivering a business transformation with roughly ten new enterprise systems this year and a growing integration and data footprint. You will drive cross-functional programs from kickoff through go-live and hypercare, and be the connective tissue between our five pillars: Finance Systems, GTM Systems, Data Platform and Analytics, IT Operations, and People Technology.\n\nThis is a hands-on delivery role for someone who runs programs with rigor, communicates crisply to executives, and holds vendors, partners, and internal teams accountable to dates. You will personally carry our largest programs while building the lightweight structures that make every subsequent program faster.\n\n\nWhat You'll Do\n\n - Program Delivery: Own end-to-end program management for major system implementations across ERP, procurement, EPM, HRIS, treasury, and identity, coordinating internal teams, implementation partners, and vendors from contract signature through cutover, hypercare, and stabilization.\n\n - Roadmap Operations: Run the Business Technology roadmap: maintain the portfolio plan, manage a unified intake and prioritization process, surface dependencies and resource conflicts across pillars, and keep the roadmap honest against team capacity.\n\n - Portfolio Governance: Stand up lightweight portfolio governance: stage gates proportionate to program risk, RAID and decision logs, and a portfolio health view that gives the COO and CFO real-time visibility across all five pillars.\n\n - SOX Program: Serve as the program manager for Business Technology's SOX ITGC readiness workstream: track control design and remediation milestones across in-scope systems (ERP, procurement, EPM, HRIS, identity), coordinate evidence requests with external auditors and advisors, and report readiness status against the design readiness deadline.\n\n - Program Cadence: Build and operate the operating rhythm: weekly status, steering committees, executive readouts, and escalation paths that resolve blockers in days.\n\n - Change Management: Design and operationalize formal change management for Business Technology systems, including release calendars, freeze windows, and evidence capture that satisfies ITGC requirements. Partner with our SOX and compliance programs so control design milestones are built into program plans rather than bolted on at the end.\n\n - Cutover & Go-Live: Drive cutover and go-live planning: UAT tracking, readiness reviews, hypercare exit criteria, and post-launch retrospectives that actually change how the next program runs.\n\n - Vendor & Partner Management: Manage implementation partner and vendor delivery: SOW milestones, burn tracking, change orders, and holding partners to committed outcomes.\n\n - Executive Communication: Communicate program status to COO, CFO, and Audit Committee audiences with clarity: what shipped, what slipped, why, and what we are doing about it.\n\n - AI-Enabled Program Operations: Continuously improve how Business Technology delivers: templates, playbooks, and tooling (Jira, Google Workspace, AI-assisted status collection and reporting) that reduce program overhead and make delivery faster.\n\nYou\n\n - Experience: 8+ years in technical program management, with at least 4 years running enterprise application or business systems programs (ERP, CRM, HCM, procurement, EPM, or data platform). You have carried at least two large implementations end to end as the program owner, including cutover and hypercare, ideally with a Big 4 or boutique implementation partner on the other side of the table.\n\n - Technical Fluency: Fluent enough in systems architecture, integrations, and data flows to challenge a technical plan, spot a hidden dependency, and know when an estimate is wrong.\n\n - Compliance & Controls: Have operated in a SOX or audit-facing environment and understand why change management, access controls, and evidence matter to a program plan. Experience working with external auditors is a strong plus.\n\n - Operating Rigor: Run a tight operating cadence by default. Your programs have a single source of truth, current RAID logs, and no surprises in steering.\n\n - Builder Orientation: Comfortable defining process from zero. You can take a team that runs on tribal knowledge and give it intake, prioritization, and delivery discipline without adding bureaucracy.\n\n - Communication: Communicate exceptionally well upward and sideways. You can compress a messy multi-workstream program into one slide a CFO trusts.\n\n - Adaptability: Comfortable with ambiguity and velocity. Priorities shift at a pre-IPO company, and you re-plan without drama.\n\n - Attitude: An enthusiastic, go-for-it attitude. When you see a program drifting, you can't help but grab it.\n\nNice to Have\n\n - Direct experience with our stack: NetSuite, Salesforce, Coupa, Workday, Pigment, Workato, Okta, Lumos, BigQuery.\n\n - Pre-IPO or IPO readiness program experience, including ITGC remediation or Audit Committee reporting.\n\n - Experience with enterprise AI governance: tool approval workflows, AI inventory management, or build-vs-buy frameworks for AI-native applications.\n\n - Experience using AI tooling to automate status collection, reporting, and program hygiene.\n\n - PMP, PgMP, or SAFe credentials (useful, not required; judgment beats certification).\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"4f11316f-81fe-4871-86ff-e65b167741d3","title":"Data Center Asset Management Specialist","department":"Data Center Business","team":"Supply Chain","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-08-11T20:57:08.606+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/4f11316f-81fe-4871-86ff-e65b167741d3","applyUrl":"https://jobs.ashbyhq.com/lambda/4f11316f-81fe-4871-86ff-e65b167741d3/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Additionally, this position may require travel up to 15% of the time.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Additionally, this position may require travel up to 15% of the time.\n\nWhat You’ll Do\n\n - You will ensure that every piece of hardware, from the moment it’s ordered to the day it’s decommissioned, is tracked with 100% accuracy\n\n - Be responsible for data center asset lifecycle management: covering the entire process from receiving, deployment to retirement for all core DC equipment\n\n - Conduct daily operations including inbound and outbound hardware asset management, cycle count, RMA, relocation, decommission, inventory management, etc\n\n - You’ll track and document data center asset receipts, moves, adds, changes, and decommissioning\n\n - Ability to work with high volumes of unstructured data and create appropriate data structures to provide insights\n\n - Coordinate periodic physical inventory and asset audits at data centers to ensure the system records are updated accordingly\n\n - Conduct daily operations including inbound and outbound hardware asset management, cycle count, RMA, relocation, decommission, inventory management, etc\n\n - Act as the first point of escalation of all hardware asset management operational related matters for all regions\n\n - Maintain SOP and promote best practices company wide and incorporate SOPs & practices into asset management systems\n\n - Support processes to ensure all fixed assets are physically or systematically verified and aligned with the Company’s data center infrastructure management system and asset tracking systems\n\n - You’ll maintain data governance standards, making it easy for business users to discover the data they need by documenting definitions, sources, and business rules\n\n - Identify and drive continuous improvement projects focused on data center and warehouse management process optimization and scalability\n\n - Interface with Accounting, Finance, Engineering and Compliance teams to ensure asset management compliance\n\nYou\n\n - 3+ years of experience in warehouse and inventory management, preferably in high-tech or hardware environments\n\n - Strong understanding of inventory control principles, warehouse systems, and ERP software (NetSuite)\n\n - Excellent organizational and cross-functional collaboration skills\n\n - Excellent inventory reconciliation experience with large data sets using Google Sheets/Excel\n\n - Ability to lift up to 50 lbs and operate warehouse type of equipment\n\n - Ability to travel up to 15% of the time \n\n - Strong attention to detail and commitment to operational discipline\n\nNice to Have\n\n - Experience in data center, electronics, or hardware deployment environments\n\n - Experience with Compliance, Standards & Governance (e.g. SOX and NIST 800-88)\n\n - Exposure to fixed asset tracking and physical inventory audits\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"e0f23169-bd46-4f9b-9391-a044124a11b9","title":"Technical Accounting/SEC Reporting Lead","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","secondaryLocations":[],"publishedAt":"2026-08-12T18:15:05.114+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e0f23169-bd46-4f9b-9391-a044124a11b9","applyUrl":"https://jobs.ashbyhq.com/lambda/e0f23169-bd46-4f9b-9391-a044124a11b9/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


What You’ll Do

What we look for in you:

Nice to haves:

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\n - Lead technical accounting research and prepare memos for complex, non-routine transactions in accordance with U.S. GAAP\n\n - Analyze accounting implications of significant transactions, including revenue, equity, debt, business combinations, leases, and stock-based compensation\n\n - Partner cross-functionally (Legal, Tax, FP&A, Treasury) to assess accounting impacts and provide guidance ahead of execution\n\n - Develop and maintain accounting policies; evaluate and implement new FASB and SEC guidance in preparation for public company readiness\n\n - Support IPO readiness efforts, including drafting technical disclosures, assisting with S-1/10-K preparation, and enhancing financial statement presentation\n\n - Assist with consolidated financial statement preparation, footnotes, and reporting package reviews to ensure accuracy and SEC compliance\n\n - Support external audits and SOX readiness by preparing documentation, strengthening controls, and improving close and reporting processes\n\n - Contribute to M&A, system implementations, and other strategic initiatives to support company growth\n\nWhat we look for in you:\n\n - Bachelor’s degree in Accounting, Finance, or related field\n\n - 4+ years of experience in technical accounting, preferably within a Big 4 firm and/or a publicly traded company\n\n - Active CPA required\n\n - Strong knowledge of the U.S. GAAP with experience analyzing complex and non-routine transactions (e.g., revenue recognition, leases, equity, debt, business combinations)\n\n - Proven ability to research accounting guidance and prepare clear, well-supported technical accounting memos\n\n - Understanding of SEC reporting and disclosure requirements\n\n - Experience partnering cross-functionally to assess accounting implications of business initiatives\n\n - Familiarity with ERP and reporting tools (e.g., NetSuite, Workiva)\n\n - Advanced Excel skills and strong analytical capabilities\n\n - Excellent written and verbal communication skills, with the ability to translate technical guidance into practical recommendations\n\n - Detail-oriented, proactive, and comfortable operating in a fast-paced environment\n\nNice to haves:\n\n - Big 4 audit or accounting advisory experience with strong technical accounting expertise\n\n - Deep knowledge of ASC 606 (revenue), ASC 842 (leases), and ASC 718 (stock-based compensation), including memo preparation and policy development\n\n - Experience with pre-IPO technical matters, including equity instruments, preferred stock, warrants, EPS, and SEC reporting considerations\n\n - Strong understanding of the U.S. GAAP financial reporting, including preparation and review of financial statements and footnote disclosures\n\n - Experience supporting IPO readiness, S-1/10-K preparation, and PCAOB audits\n\n - Background in high-growth, pre-IPO or public technology companies (SaaS/AI preferred)\n\n - Exposure to M&A and purchase accounting, particularly in revenue and equity-related areas\n\n - Demonstrated ability to strengthen controls and build scalable accounting processes in fast-paced environments\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"dfd5e33b-da53-4a9e-a0e3-307d5efbd307","title":"Senior Counsel - Commercial","department":"G&A","team":"Legal","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[],"publishedAt":"2026-08-12T20:58:51.527+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/dfd5e33b-da53-4a9e-a0e3-307d5efbd307","applyUrl":"https://jobs.ashbyhq.com/lambda/dfd5e33b-da53-4a9e-a0e3-307d5efbd307/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, Bellevue or upcoming NYC office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

As demand for compute and AI capabilities accelerates globally, Lambda is rapidly expanding its cloud platform, data center footprint, and strategic partnerships with enterprises, hyperscalers, and leading AI companies. Lambda’s legal team plays a critical role in enabling this growth by structuring and negotiating the agreements that power Lambda’s most important customer relationships, infrastructure partnerships, and global expansion efforts.

As Senior Counsel - Commercial, you’ll join a lean, high-impact legal team where your work will immediately shape how Lambda scales. You will partner closely with senior leaders across the company to support complex, high-value deals while helping bring additional execution capacity to a fast-moving commercial legal function. From negotiating multi-million dollar infrastructure agreements to supporting strategic enterprise partnerships, you will be directly involved in the transactions that enable Lambda to scale its AI cloud platform and support the next generation of AI innovation.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, Bellevue or upcoming NYC office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nAs demand for compute and AI capabilities accelerates globally, Lambda is rapidly expanding its cloud platform, data center footprint, and strategic partnerships with enterprises, hyperscalers, and leading AI companies. Lambda’s legal team plays a critical role in enabling this growth by structuring and negotiating the agreements that power Lambda’s most important customer relationships, infrastructure partnerships, and global expansion efforts.\n\nAs Senior Counsel - Commercial, you’ll join a lean, high-impact legal team where your work will immediately shape how Lambda scales. You will partner closely with senior leaders across the company to support complex, high-value deals while helping bring additional execution capacity to a fast-moving commercial legal function. From negotiating multi-million dollar infrastructure agreements to supporting strategic enterprise partnerships, you will be directly involved in the transactions that enable Lambda to scale its AI cloud platform and support the next generation of AI innovation.\n\nWhat You’ll Do\n\n - Draft, review, and negotiate a broad range of high-value commercial agreements including customer contracts, data center service provider agreements, partner and reseller agreements, distributor arrangements, and marketing partnerships.\n\n - Partner with the AGC to own and manage enterprise deal negotiations.\n\n - Collaborate cross-functionally with Sales, Marketing, Product, and Finance teams to enable deals while ensuring appropriate legal risk management.\n\n - Advise on contract structure and associated risks, ensuring alignment with organizational goals and legal requirements.\n\n - Use legal technology and automation tools to streamline contracting processes, compliance tracking, and knowledge management.\n\n - Identify and own improvements to the team’s operations, templates, and playbooks.\n\n - Operate independently and provide practical, decisive guidance to our business teams that balances business objectives with legal risk.\n\nYou\n\n - J.D. degree from an accredited law school and membership in at least one U.S. state bar.\n\n - 10+ years of legal experience, with at least 3 years in-house (ideally in the technology, cloud infrastructure, or SaaS sector).\n\n - Extensive experience drafting and negotiating complex commercial transactions on the buy-side and sell-side.\n\n - Growth mindset, enjoys working in a fast-paced environment and managing multiple concurrent projects and tasks to completion within the required time frame.\n\n - Interest in growing your impact and responsibilities over time.\n\n - Team mentality with the flexibility to address unique issues in real-time and the awareness to know when to bring in others.\n\nNice to Have\n\n - Experience in infrastructure-as-a-service industry\n\n - Familiarity with privacy, data security, and/or compliance frameworks (e.g., SOC 2, ISO 27001) is strongly preferred.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"d4e6f207-73c3-43d1-aa4b-d840ad2254d4","title":"Senior Site Reliability Engineer - Fleet","department":"Data Center Business","team":"Fleet Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-09-01T17:47:02.431+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/d4e6f207-73c3-43d1-aa4b-d840ad2254d4","applyUrl":"https://jobs.ashbyhq.com/lambda/d4e6f207-73c3-43d1-aa4b-d840ad2254d4/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.


About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\n - Build and operate monitoring and alerting for cluster health — fabric, GPU, power/thermal, and job-level signals — to detect and respond to issues proactively\n\n - Remotely deploy and configure large-scale HPC clusters for AI workloads using automation wherever possible\n\n - Automate cluster lifecycle: operating systems, firmware, drivers, and networking, managed as code (Ansible, Terraform) rather than by hand\n\n - Create runbooks and automated remediations for common cluster failure modes, designed so Support and HPC Support can run them safely\n\n - Troubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power — working closely with on-site deployment teams\n\n - Participate in on-call rotations and lead incident response for cluster-level problems\n\n - Contribute to and maintain Standard Operating Procedures, and feed clear requirements back to other engineering teams on simplification, stability, and operational efficiency\n\nYou\n\n - 7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar role\n\n - Have a strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization\n\n - Strong understanding of Linux-based systems in a distributed environment\n\n - Are experienced configuring and troubleshooting InfiniBand (IB), RoCE, CLOS fabrics, 100GbE, Ethernet/switching, GPU-direct, and NCCL environments\n\n - Solid understanding of Python and Go, with experience working with SWE teams to improve internal tooling.\n\n - Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, Clickhouse)\n\n - Proficiency in automation and configuration management tools (e.g., Ansible, Terraform)\n\n - Have excellent problem-solving and troubleshooting skills and an innate attention to detail\n\n - Passion for continuous improvement and innovation\n\nNice to Have\n\n - Experience with machine learning / deep learning frameworks (PyTorch, TensorFlow) and benchmarking tools (DeepSpeed, MLPerf)\n\n - Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)\n\n - Experience building and/or operating HPC resources.\n\n - Depth in the NVIDIA hardware and firmware ecosystem\n\n - Experience with data center power and thermal design\n\n - Background in chaos engineering or similar reliability testing methodologies\n\n - Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"2a67174b-317b-44e2-8cee-c108f61557ff","title":"Energy Origination & Hedging Manager","department":"Data Center Infrastructure","team":"Data Center Infrastructure","employmentType":"FullTime","location":"Remote, USA","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-08-17T20:38:41.643+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/2a67174b-317b-44e2-8cee-c108f61557ff","applyUrl":"https://jobs.ashbyhq.com/lambda/2a67174b-317b-44e2-8cee-c108f61557ff/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Originator with analyst and hedging experience. This is one of the most critical hires on the team: the role bridges commercial deal-making, quantitative analysis, and energy risk management in support of Lambda's data center growth. For the right candidate with commodity risk experience, hedging analysis can become a core, ongoing responsibility rather than an occasional task.


What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nOriginator with analyst and hedging experience. This is one of the most critical hires on the team: the role bridges commercial deal-making, quantitative analysis, and energy risk management in support of Lambda's data center growth. For the right candidate with commodity risk experience, hedging analysis can become a core, ongoing responsibility rather than an occasional task.\n\n\nWhat You'll Do\n\n - Originate Energy Agreements: Lead origination of PPAs, utility interconnection agreements, and energy supply contracts; experience in a data center context strongly preferred.\n\n - Build the Investment Case: Develop LCOE and NPV/IRR analyses comparing utility (typically $1M–$3M guarantee), hybrid, and islanded (~$300K credit support) power strategies to inform site and structure decisions.\n\n - Own Hedging Strategy: Evaluate and execute power and fuel price hedges that directly de-risk and support GPU financing.\n\n - Structure the Instruments: Work across fixed-price contracts, heat rate call options, financial swaps, basis swaps, and NYMEX and OTC gas to manage price exposure.\n\n - Manage Demand Charge Risk: Model peak demand exposure and identify tariff, demand response, or BESS strategies to reduce cost.\n\n - Forecast Energy Costs: Produce site-level energy cost forecasts at acquisition using tariff structures and market price curves.\n\n - Lead Negotiations: Negotiate directly with utilities, Solaris, VoltaGrid, and fuel suppliers on commercial and technical terms.\n\n - Track the Market: Maintain working knowledge of RTO/ISO processes, tariff structures, state regulatory risk, and broader energy market dynamics.\n\nYou\n\n - Background: Meaningful experience in energy origination, commodity/power trading, or utility-scale power markets, with direct exposure to contract negotiation and deal execution.\n\n - Analytical Rigor: Comfortable building and pressure-testing LCOE, NPV, and IRR models comparing competing power supply strategies.\n\n - Hedging Experience: Hands-on experience evaluating or executing power and gas hedges (swaps, options, NYMEX/OTC); prior experience holding commodity risk is a strong plus.\n\n - Communication Skills: Able to negotiate directly with utilities and counterparties, and to translate complex risk and financial analysis for senior leadership.\n\nNice to Have\n\n - Prior experience procuring or structuring power for data centers, hyperscale, or other large industrial/AI infrastructure loads.\n\n - Working familiarity with RTO/ISO markets (ERCOT, PJM, MISO, CAISO, SPP, etc.) and their tariff and settlement structures.\n\n - Exposure to project or asset financing where power costs and hedges are a driver of the financing structure (e.g., GPU or infrastructure financing).\n\n - Background at a utility, energy trading desk, IPP, data center developer, or commodity risk management group.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"2b7fbb56-fc5b-4d9d-91a6-fdfb81a135e8","title":"Technical Success Engineer","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-08-20T17:45:10.579+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/2b7fbb56-fc5b-4d9d-91a6-fdfb81a135e8","applyUrl":"https://jobs.ashbyhq.com/lambda/2b7fbb56-fc5b-4d9d-91a6-fdfb81a135e8/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About this role

The Superintelligence Technical Success Engineer is part of Lambda's Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. This role owns taking signed deployment from contract to a live, fully operational production environment. The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood.

You'll work alongside the account team, to make sure the customer's requirements and expectations are clearly understood and addressed throughout deployment. This role calls for someone who's ready to dive in wherever the engagement needs them.

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout this role\n\nThe Superintelligence Technical Success Engineer is part of Lambda's Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. This role owns taking signed deployment from contract to a live, fully operational production environment. The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood.\n\nYou'll work alongside the account team, to make sure the customer's requirements and expectations are clearly understood and addressed throughout deployment. This role calls for someone who's ready to dive in wherever the engagement needs them.\n\nWhat You'll Do\n\n - Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised\n\n - Bring technical depth to validation and troubleshooting conversations — asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution\n\n - Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers\n\n - Own a current, accurate technical picture of the deployment — what's built, what's open, what's at risk\n\n - Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what's being done about them\n\n - Guide the customer through onboarding to their first successful production workload\n\n - Be the customer's go-to technical contact through deployment and early production\n\n - Feed recurring technical patterns back into reusable runbooks, checklists, or automation\n\n - Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way\n\nYou\n\n - 4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems\n\n - Comfortable being the technical voice in the room able to validate builds, spot gaps, and hold engineering teams accountable for resolving them\n\n - Strong troubleshooting instincts and a willingness to get into the weeds of networking, storage, or compute issues\n\n - Track record of coordinating across engineering and infrastructure teams to close out technical dependencies\n\n - Clear written and verbal communication for status updates and technical documentation\n\n - A bias toward diving in and taking ownership, rather than waiting for a fully defined process\n\nNice to Have\n\n - Exposure to large-scale GPU cluster deployments\n\n - Familiarity with project/program tracking tools and structured status reporting\n\n - Experience building runbooks or checklists that outlived the engagement they were built for\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"45420498-0c3f-438e-a127-8438c7a342fa","title":"Senior FP&A Analyst - Public Cloud","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-08-14T18:29:02.990+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/45420498-0c3f-438e-a127-8438c7a342fa","applyUrl":"https://jobs.ashbyhq.com/lambda/45420498-0c3f-438e-a127-8438c7a342fa/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You'll Do

Public Cloud Revenue Forecasting

Headcount & OpEx Management (BvA)

GTM Finance Partnership & Strategy

Customer Segment Analysis

Pricing Support

Internal Usage & Allocation

Executive Reporting & Communication

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You'll Do\n\nPublic Cloud Revenue Forecasting\n\n - Own the Public Cloud revenue forecast across on-demand, reserved, and committed-use offerings\n\n - Build and maintain driver-based models linking capacity, utilization, and pricing to revenue\n\n - Forecast new customer acquisition, expansion, contraction, and churn by product line\n\n - Deliver monthly revenue forecasts along with variance analysis and commentary\n\n - Partner with Accounting on billing, consumption reconciliation, and revenue recognition\n\nHeadcount & OpEx Management (BvA)\n\n - Own OpEx and headcount planning, tracking, and reporting for the Public Cloud organization\n\n - Maintain hiring plans, compensation assumptions, and organizational change tracking against approved headcount\n\n - Prepare monthly and quarterly budget vs. actual analysis, identify key drivers, and partner with business owners to explain performance\n\n - Support accrual and reclassification inputs with Accounting through the monthly close\n\nGTM Finance Partnership & Strategy\n\n - Serve as the finance partner to Public Cloud GTM leadership on go-to-market planning and resource allocation\n\n - Model sales capacity, quota coverage, and rep productivity; evaluate territory and quota scenarios\n\n - Analyze pipeline conversion, bookings-to-revenue linkage, and funnel efficiency\n\n - Build the business case for GTM investments and measure realized return\n\nCustomer Segment Analysis\n\n - Develop segment-level views of revenue, margin, retention, and lifetime value\n\n - Build cohort and consumption-behavior analyses to identify expansion opportunity and churn risk\n\n - Size segment opportunity and inform prioritization across self-serve, mid-market, and enterprise\n\n - Surface customer concentration risk and account-level margin outliers to leadership\n\nPricing Support\n\n - Support pricing strategy with margin, elasticity, and competitive analysis across instance types and regions\n\n - Model P&L impact of list price changes, discount structures, and committed-use constructs\n\n - Support deal review on non-standard pricing, approval thresholds, and margin guardrails\n\nInternal Usage & Allocation\n\n - Track and report internal, non-revenue consumption of Public Cloud capacity across Engineering, Research, and demo or benchmark use\n\n - Build and maintain allocation and chargeback methodology\n\n - Quantify the opportunity cost of internal usage relative to external monetization\n\n - Partner with Infrastructure Finance on capacity availability and utilization reporting\n\nExecutive Reporting & Communication\n\n - Deliver Public Cloud insights for monthly business reviews, executive reviews, and board materials\n\n - Translate consumption and operational data into a clear financial narrative\n\n - Provide actionable recommendations to drive revenue growth, margin, and capital efficiency\n\nYou\n\n - Have a Bachelor's degree in Finance, Accounting, Economics, or a related field\n\n - Have 4+ years of experience in FP&A, corporate finance, GTM or sales finance, investment banking, or consulting, ideally with a focus on Cloud / AI infrastructure, SaaS, Data centers, Telecom, or Hardware\n\n - Have direct experience forecasting revenue in a consumption-based or usage-based business model\n\n - Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making\n\n - Have excellent analytical, strategic thinking, and decision-making skills\n\n - Possess strong Excel skills and experience with financial software systems\n\n - Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects\n\n - Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely\n\n - Are comfortable partnering directly with senior commercial and technical stakeholders\n\n - Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement\n\n - Are able to work in an ambiguous environment with very little direction\n\nNice to Have\n\n - Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments\n\n - Experience with pricing strategy, unit economics, or deal desk support\n\n - Working proficiency in SQL and comfort querying large data sets directly\n\n - Experience with enterprise planning systems and CRM data\n\n - Familiarity with GPU compute, AI/ML workloads, or public cloud infrastructure\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"71cd3c75-879a-4863-9288-94ea28e9eac1","title":"Technology Alliance Partner Manager","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-08-19T17:36:41.619+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/71cd3c75-879a-4863-9288-94ea28e9eac1","applyUrl":"https://jobs.ashbyhq.com/lambda/71cd3c75-879a-4863-9288-94ea28e9eac1/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

The AI ecosystem is being built right now, and Lambda intends to sit at the heart of it. As Tech Alliance Partner Manager, you will grow Lambda's technology partner ecosystem so customers can do more on Lambda, and so more teams choose to build here. In practice, that means forging partnerships across the platforms, tools, and applications AI teams rely on every day, and turning them into a durable engine of growth. This is a senior role with end to end ownership, and you are joining early enough to define it: the strategy, the programs behind it, and the partnerships themselves are yours to build, in close partnership with engineering, product, legal, sales, and other teams.

You are part strategist, part dealmaker, and part builder. You see where a partner's technology and Lambda's cloud create value for a shared customer before anyone else does, and you win the internal and external buy-in to act on it. You are equally credible with a partner's engineers and executives, and you turn a single agreement into a repeatable channel through the programs and operations you put in place. You learn new domains quickly, reason from evidence, and are as at home in a commercial negotiation as you are in an architecture review. If you want to build something from an early stage and watch it show up in real customer wins, this is that role.

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nThe AI ecosystem is being built right now, and Lambda intends to sit at the heart of it. As Tech Alliance Partner Manager, you will grow Lambda's technology partner ecosystem so customers can do more on Lambda, and so more teams choose to build here. In practice, that means forging partnerships across the platforms, tools, and applications AI teams rely on every day, and turning them into a durable engine of growth. This is a senior role with end to end ownership, and you are joining early enough to define it: the strategy, the programs behind it, and the partnerships themselves are yours to build, in close partnership with engineering, product, legal, sales, and other teams.\n\nYou are part strategist, part dealmaker, and part builder. You see where a partner's technology and Lambda's cloud create value for a shared customer before anyone else does, and you win the internal and external buy-in to act on it. You are equally credible with a partner's engineers and executives, and you turn a single agreement into a repeatable channel through the programs and operations you put in place. You learn new domains quickly, reason from evidence, and are as at home in a commercial negotiation as you are in an architecture review. If you want to build something from an early stage and watch it show up in real customer wins, this is that role.\n\nWhat You'll Do\n\n - Own the strategy: Set Lambda's technology partner strategy, including segmentation, prioritization, and a clear point of view on where to focus and why.\n\n - Recruit and onboard partners: Identify, recruit, and onboard technology partners and ISVs aligned with Lambda's product and go-to-market priorities, prioritizing those that expand what customers can do on our cloud.\n\n - Design the programs: Build the partner programs, frameworks, and playbooks that turn individual partnerships into a repeatable way to create value, and drive partner readiness and platform adoption through structured onboarding and enablement.\n\n - Drive the integrations and partner roadmap: Work with product and engineering to define the integrations that make each partnership real, run the cadence that turns partner needs into a prioritized roadmap, and make the case for the resourcing and sequencing they require.\n\n - Shape the commercial model: Choose and structure the right partnership model for each partner, whether co-sell, co-build, resale, or referral, and work with Legal, Revenue Operations, and Finance on the agreements and processes behind it.\n\n - Lead the joint go-to-market: Lead co-sell and joint go-to-market with Sales and partners, embedding partners into our sales motions and converting partnerships into customer activity.\n\n - Own the outcomes: Define what good looks like for Lambda's partner program and the metrics behind it, and own the results, from growing Lambda's customer footprint to keeping customers building on Lambda.\n\n - Represent Lambda: Advocate for partners across Sales, Product, Marketing, Legal, Finance, and GTM Operations, and represent Lambda across the technology partner ecosystem, with regular travel to spend time with partners in person and take part in events, advisory boards, and industry forums.\n\nYou\n\n - Have 10+ years in technology or ecosystem partnerships, alliances, or partner business development within B2B technology, including partnerships you built and scaled from the ground up\n\n - Have proven success building revenue-generating technology partner ecosystems that drove new customers, consumption, or revenue to a cloud or platform, with a strong grasp of consumption-based business models\n\n - Have designed partner programs or frameworks yourself, not just executed someone else's\n\n - Bring the technical depth to lead technical validation, architecture alignment, and use-case qualification, with familiarity across AI infrastructure, model development workflows, and data pipelines, and the credibility to engage engineers and executives alike\n\n - Drive joint go-to-market and co-sell motions hands on with sales teams\n\n - Negotiate complex partnership agreements from structure through close, across co-sell, co-build, resale, and referral models\n\n - Operate credibly with executives at startups and enterprises alike, and in multi-party deals where the same company can be partner, customer, and supplier at once\n\n - Win partners, executives, engineers, and your own field over to your ideas without relying on organizational authority\n\n - Are comfortable operating without a playbook in a fast moving environment, and energized by writing the first version rather than inheriting one\n\nNice to Have\n\n - Experience working closely with Product and Engineering to influence partner-facing roadmaps and integrations\n\n - Experience with a hyperscaler or major AI infrastructure partner ecosystem such as AWS, Azure, Google Cloud, or NVIDIA\n\n - A background in GPU compute, high performance computing, or AI infrastructure\n\n - Industry experience in data and AI intensive sectors such as financial services, healthcare, robotics, or automotive\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"38d5e340-aa31-463a-ba8e-f389b9a74cf8","title":"Corporate Counsel","department":"G&A","team":"Legal","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[],"publishedAt":"2026-08-20T15:50:03.871+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/38d5e340-aa31-463a-ba8e-f389b9a74cf8","applyUrl":"https://jobs.ashbyhq.com/lambda/38d5e340-aa31-463a-ba8e-f389b9a74cf8/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


What You’ll Do

As Corporate Counsel at Lambda, you will perform a broad range of legal work with a primary focus on supporting and overseeing a variety of corporate governance, equity administration, securities and transactional matters, with a potential focus on preparing for and executing a public offering. You will report to Lambda’s Associate General Counsel, Corporate.

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\nAs Corporate Counsel at Lambda, you will perform a broad range of legal work with a primary focus on supporting and overseeing a variety of corporate governance, equity administration, securities and transactional matters, with a potential focus on preparing for and executing a public offering. You will report to Lambda’s Associate General Counsel, Corporate.\n\n - Corporate Transactions: Provide counseling, support, and organization to enable key business initiatives like equity fundraising rounds, debt financings, M&A and strategic investments.\n\n - Equity Management:\n \n - Maintain and update the cap table in Carta, draft equity grant approvals, field employee equity questions, update equity grant documentation, coordinate quarterly 409A valuations.\n \n - Manage an active secondary sale market from receipt of a transfer proposal through coordinating closing logistics and updating the cap table.\n\n - Corporate Governance: Prepare board and committee materials (resolutions, minutes, written consents) and manage entity maintenance tasks, including registrations and filings.\n\n - Subsidiaries: Assist in the formation and dissolution of entities to support Lambda’s ever growing financing and development structures, including international entities, and support changes in entity structure.\n\n - People & Culture: Partner with the People teams to support various initiatives to support Lambda’s culture. Projects may include advising on employee and management handbooks and developing and delivering training for employees on various legal adjacent topics (e.g. equity compensation).\n\n - Research and Process Improvement: Monitor evolving industry regulations and leverage legal-tech solutions to automate workflows, streamline contract review, and drive continuous process enhancements.\n\n - As-Needed Legal Support: Collaborate on employment, IP,debt financings,, equity administration support, and ad hoc projects as priorities shift.\n\nYou\n\n - JD from an accredited law school and admission to practice in at least one U.S. jurisdiction (California bar preferred or in-house registration).\n\n - 3+ years of combined law firm and/or in-house experience, with demonstrated strength supporting corporate transactions, governance and equity administration.\n\n - Solid corporate background covering governance, financings, and entity management.\n\n - Exceptional drafting and negotiation skills, with an ability to balance legal risk against business objectives.\n\n - Strong interpersonal and communication skills; adept at collaborating with stakeholders at all levels.\n\n - Proactive mindset, meticulous attention to detail, and ability to manage competing priorities in a fast-paced environment.\n\nNice to Have\n\n - Experience at a late-stage private or pre-IPO company.\n\n - Familiarity with public-company readiness, IPO processes, and 34 Act filings.\n\n - Experience negotiating procurement/commercial agreements.\n\n - Experience with debt financings.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"b28a6205-2aea-4fcf-aa5e-5cc62cb1a4bd","title":"Senior Executive Business Partner","department":"G&A","team":"Employee Engagement","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-08-21T21:37:26.980+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/b28a6205-2aea-4fcf-aa5e-5cc62cb1a4bd","applyUrl":"https://jobs.ashbyhq.com/lambda/b28a6205-2aea-4fcf-aa5e-5cc62cb1a4bd/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

We’re moving fast, and we need a world-class Executive Business Partner to help keep us ahead of the curve. This is more than calendar management. It’s about being a strategic partner, anticipating what’s next, and making sure nothing slows us down.

If you’ve spent 5+ years supporting executives in tech companies, you know the drill: the pace can be relentless, the stakes are high, and the impact is huge. You thrive in it.

What You’ll Do

What You’ll Bring

Why You’ll Love It Here

You’ll have a front-row seat at a fast-growing company shaping the future of AI and tech, and you’ll have a direct hand in making that growth possible. We value speed, tenacity, creativity, and showing up for each other. If you want a seat where you can make a huge impact every day, this is it. If you’re a strategic partner, operational powerhouse, and master of getting things done, we want to talk.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nWe’re moving fast, and we need a world-class Executive Business Partner to help keep us ahead of the curve. This is more than calendar management. It’s about being a strategic partner, anticipating what’s next, and making sure nothing slows us down.\n\nIf you’ve spent 5+ years supporting executives in tech companies, you know the drill: the pace can be relentless, the stakes are high, and the impact is huge. You thrive in it.\n\n\n\nWhat You’ll Do\n\n - Be an executive’s right hand: anticipate needs, solve problems, and remove friction.\n\n - Manage complex calendars, schedules, and logistics across multiple time zones.\n\n - Coordinate high-stakes meetings, agendas, and follow-up.\n\n - Handle sensitive information with discretion and professionalism.\n\n - Plan and manage travel, quickly adapting to changes.\n\n - Keep critical projects and deliverables moving on time.\n\n - Support company communications: talking points prep and scheduling.\n\n - Build and refine operational processes for efficiency as the company grows.\n\nWhat You’ll Bring\n\n - 5+ years of EA or relevant experience, with time in fast-growing tech companies.\n\n - A proven record supporting leaders in dynamic, scaling environments.\n\n - Mastery of organization, prioritization, and follow-through.\n\n - Top-notch communication skills.\n\n - Comfort with ambiguity, change, and moving at startup speed.\n\n - Fluency with tools like Google Workspace, Slack, Notion, and Zoom.\n\nWhy You’ll Love It Here\n\nYou’ll have a front-row seat at a fast-growing company shaping the future of AI and tech, and you’ll have a direct hand in making that growth possible. We value speed, tenacity, creativity, and showing up for each other. If you want a seat where you can make a huge impact every day, this is it. If you’re a strategic partner, operational powerhouse, and master of getting things done, we want to talk.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"a8cb384a-b3ea-40a9-b592-b94639b727c7","title":"Sourcing Manager, ODM/OEM Systems","department":"Data Center Business","team":"Supply Chain","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-08-25T22:22:04.925+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/a8cb384a-b3ea-40a9-b592-b94639b727c7","applyUrl":"https://jobs.ashbyhq.com/lambda/a8cb384a-b3ea-40a9-b592-b94639b727c7/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

We are seeking an experienced Sourcing Manager to manage the ODM/OEM landscape for Lambda's data center hardware, as part of the team focused on managing our system level ODM/OEM Finished Good Racks & Networking that power our rapidly growing AI cloud footprint.

You will own the end-to-end commercial and sourcing relationship with our ODM and OEM partners: selecting the right partner for each platform, running competitive RFQ/RFP events, negotiating build agreements and finished-goods pricing, driving cost transparency down through the bill of materials, and securing manufacturing capacity and ramp commitments that keep pace with our deployment schedule.

The ideal candidate knows how this hardware actually gets built. You are comfortable evaluating an ODM's integration and test capability, debating a BOM cost roll-up line by line, negotiating NRE and tooling for a new platform, and holding a partner accountable to a ramp schedule — while operating fluidly across global manufacturing footprints.

You will work closely with Engineering, Finance, Legal, and Supply Chain Planning, Global Commodity Managers and Operations to bring new platforms from concept through mass production and scaled deployment.

What You’ll Do

ODM/OEM Sourcing Strategy

Commercial Negotiation & Contracting

Partner Management

New Product Introduction & Ramp

Cross-Functional Partnership

Risk, Cost & Supply Resilience

You

Nice To Have

We Are Looking for Someone Who Is

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nAbout the Role\n\nWe are seeking an experienced Sourcing Manager to manage the ODM/OEM landscape for Lambda's data center hardware, as part of the team focused on managing our system level ODM/OEM Finished Good Racks & Networking that power our rapidly growing AI cloud footprint.\n\nYou will own the end-to-end commercial and sourcing relationship with our ODM and OEM partners: selecting the right partner for each platform, running competitive RFQ/RFP events, negotiating build agreements and finished-goods pricing, driving cost transparency down through the bill of materials, and securing manufacturing capacity and ramp commitments that keep pace with our deployment schedule.\n\nThe ideal candidate knows how this hardware actually gets built. You are comfortable evaluating an ODM's integration and test capability, debating a BOM cost roll-up line by line, negotiating NRE and tooling for a new platform, and holding a partner accountable to a ramp schedule — while operating fluidly across global manufacturing footprints.\n\nYou will work closely with Engineering, Finance, Legal, and Supply Chain Planning, Global Commodity Managers and Operations to bring new platforms from concept through mass production and scaled deployment.\n\n\n\nWhat You’ll Do\n\nODM/OEM Sourcing Strategy\n\n - Own and execute the ODM/OEM sourcing strategy for your assigned finished-goods portfolio, including full-system integration, rack integration, and factory test.\n\n - Map and continuously assess the ODM/OEM landscape — capability, capacity, technology readiness, quality track record, financial health, and manufacturing footprint — and recommend the right partner for each platform and program.\n\n - Build multi-partner strategies that create competitive leverage and protect supply: dual-sourcing at the platform level, qualified alternates, and regional footprint diversification.\n\n - Develop platform sourcing strategies aligned to the hardware and network architecture roadmaps, deployment forecast, and long-term data center growth plans.\n\n - Evaluate build-versus-buy and disaggregation trade-offs — branded OEM versus white-box/ODM, turnkey versus consigned, and vendor-integrated versus Lambda-integrated racks.\n\n - Maintain deep market intelligence on the ODM/OEM ecosystem, finished-goods build economics, integration capacity, and how peers and hyperscalers are structuring their build relationships.\n\nCommercial Negotiation & Contracting\n\n - Lead system-level commercial negotiations with ODM and OEM partners, including:\n \n - Master manufacturing, build, and supply agreements\n \n - System and rack-level pricing, conversion/integration cost, and margin structures\n \n - Bill of materials cost transparency, should-cost models, and cost-down roadmaps\n \n - Capacity reservations, build slot commitments, and ramp/flex terms\n \n - Non-recurring engineering (NRE), tooling, and new platform development agreements\n \n - Software, firmware, licensing, and support/subscription entitlements bundled with hardware\n \n - Buffer, liability, cancellation, and inventory ownership terms\n \n - Quality, warranty, RMA, sparing, service, and on-site support terms\n \n - Logistics terms, Incoterms, and delivery/lead-time commitments\n\n - Build negotiation strategies that balance total landed cost, supply security, and configuration flexibility.\n\n - Drive competitive RFQ/RFP events end to end — requirements definition, bid packages, cost analysis, partner selection, and award.\n\n - Partner with Legal and Finance to structure and finalize contracts, commercial terms, and pricing mechanisms.\n\nPartner Management\n\n - Manage day-to-day and executive-level relationships with strategic ODM and OEM partners.\n\n - Lead quarterly business reviews, scorecards, escalation management, and performance improvement plans across cost, quality, delivery, and responsiveness.\n\n - Partner with ODMs/OEMs on manufacturing capacity planning, build slot allocation, roadmap alignment, and production readiness.\n\n - Serve as the primary commercial point of contact and escalation owner for assigned platforms and partners.\n\n - Manage the commercial interface for key components sourced or procured through the ODM/OEM, including pass-through pricing, buy/sell decisions, and consigned versus turnkey structures.\n\n - Coordinate with adjacent sourcing owners so cost, capacity, and schedule commitments stay aligned where compute, storage, and networking platforms are deployed together as integrated clusters.\n\nNew Product Introduction & Ramp\n\n - Support new platform and technology introductions from EVT through PVT to mass production, owning the commercial workstream at each gate.\n\n - Align build schedules, qualification timelines, and capacity ramps with deployment commitments.\n\n - Drive early sourcing engagement so manufacturability, cost, and capacity are designed in rather than negotiated after the fact.\n\n - Manage engineering change commercial impact, cost deltas, and transition/inventory exposure across build phases.\n\nCross-Functional Partnership\n\n - Partner with Hardware, Network, and Data Center Engineering to translate platform, fabric, power, thermal, and rack requirements into sourcing and commercial strategies.\n\n - Work with Supply Chain Planning to align partner manufacturing capacity and lead times with demand forecasts.\n\n - Partner with Finance on system and rack cost models, budget planning, capex forecasting, and savings tracking.\n\n - Provide market insight and recommendations to leadership on partner selection, cost trends, and build strategy.\n\nRisk, Cost & Supply Resilience\n\n - Develop and maintain supply continuity plans for the ODM/OEM base that address:\n \n - Total landed cost and cost optimization\n \n - Manufacturing capacity availability and build slot risk\n \n - Lead time, long-lead component exposure, and buffer strategy\n \n - Geographic, tariff, trade compliance, and geopolitical risk across manufacturing sites\n \n - Partner financial and operational risk\n \n - Quality escapes, field failures, and warranty exposure\n\n - Proactively identify and mitigate risk across the ODM/OEM partner base and the systems they build for us.\n\nYou\n\n - 8+ years of experience in Strategic Sourcing, Procurement, ODM/OEM Management, or Supply Chain roles, with direct experience sourcing finished goods at the system or rack level — compute, storage, networking, or integrated hardware platforms.\n\n - Demonstrated experience negotiating and managing build and supply agreements with ODMs, OEMs, or contract manufacturers (e.g., Taiwan- and China-based ODMs, tier-one server or networking OEMs, or global CMs).\n\n - Strong command of system-level cost structure: BOM cost roll-up, should-cost analysis, conversion and integration cost, NRE and tooling, and total landed cost.\n\n - Experience owning platform-level partner selection and managing partners through NPI, qualification, and mass production ramp.\n\n - Strong understanding of hardware manufacturing operations — integration, system test, rack build, logistics, and the realities of ramping in a global footprint.\n\n - Proven track record leading complex commercial negotiations and delivering measurable cost, capacity, and supply outcomes.\n\n - Strong analytical, financial, and business acumen.\n\n - Experience operating in constrained, long-lead-time, high-growth supply environments.\n\n - Ability to build effective relationships with senior partner executives and internal cross-functional stakeholders, including across time zones and cultures.\n\nNice To Have\n\n - Experience supporting hyperscale data center or AI infrastructure build programs.\n\n - Experience managing manufacturing footprint transitions, regional dual-sourcing, or tariff and trade-driven site strategies.\n\n - Familiarity with open hardware ecosystems and standards (OCP, OAM, and similar) and their impact on sourcing leverage.\n\n - Working fluency in the underlying supply base — accelerators, memory, optics, power, and cooling — sufficient to understand the cost drivers and constraints flowing into finished-goods pricing.\n\n - Mandarin language ability and experience working directly with Taiwan- or China-based manufacturing partners.\n\n - Willingness to travel internationally to partner factories as needed.\n\n - Bachelor's degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus.\n\nWe Are Looking for Someone Who Is\n\n - Technically fluent and commercially sharp — able to move fluidly between a factory floor conversation and a high-stakes negotiation\n\n - Data-driven, decisive, and execution-oriented\n\n - A strong relationship builder with partners and internal stakeholders\n\n - Comfortable operating with a high degree of ownership in a fast-growth, ambiguity-rich environment\n\n - Willing to personally drive negotiations, partner escalations, and problem-solving day to day\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"fff33a83-568e-4729-aacc-a58c1d8c8def","title":"Data Center Site Manager (Chicago)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Elk Grove Village, IL - Data Center","secondaryLocations":[],"publishedAt":"2026-08-20T21:34:18.591+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"60007","addressRegion":"Illinois","addressCountry":"United States","addressLocality":"Elk Grove Village"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/fff33a83-568e-4729-aacc-a58c1d8c8def","applyUrl":"https://jobs.ashbyhq.com/lambda/fff33a83-568e-4729-aacc-a58c1d8c8def/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Elk Grove Data Center 5 days per week.


What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Elk Grove Data Center 5 days per week.\n\n\nWhat You'll Do\n\n - Manage and lead a team of data center technicians\n\n - Maintain high availability, reliability, and security in the data center environment\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced systems\n\n - Document data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Assess current and future state data center requirements based on growth plans and technology trends\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\n - Oversee deployments and day-to-day operations of the data center\n\n - Maintain uptime for assets and infrastructure, and ensure customer SLAs are met\n\n - Participate in technical discussions and provide expertise on data center integration and deployment strategies\n\n - Understand power/cooling requirements as well as cabling needs required within data center space to support high performance infrastructures.\n\n - Work closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience and Sales, to align data center solutions with business goals\n\n - Ensure the data center complies with Lambda’s standards and policies\n\nYou\n\n - Have 5+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Have basic understanding of Linux administration\n\n - Have experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locations\n\n - Are someone who pays attention to detail and has the ability to follow instructions\n\n - Are action-oriented and have a strong willingness to learn\n\n - Have a desire to mentor other team members and help them reach their full potential\n\nNice to Have\n\n - Experience with troubleshooting and theoretical knowledge the following network layers, technologies, and system protocols: TCP/IP, OSPF, SNMP, SSL, HTTP, FTP, SSH, Syslog, DHCP, DNS, RDP, NETBIOS, IP routing, Ethernet, switched Ethernet, 802.11x, NFS, and VLANs\n\n - Experience with working in large-scale distributed data center environments\n\n - Experience working with auditors to meet all compliance requirements (ISO/SOC)\n\n - Experience Supermicro & Nvidia hardware\n\n - Previous data center team management experience\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"28fe6ae2-c6f7-4097-bded-b0fa291d783a","title":"Legal Intern - Fall 2026","department":"G&A","team":"Legal","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[],"publishedAt":"2026-08-20T17:51:30.513+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/28fe6ae2-c6f7-4097-bded-b0fa291d783a","applyUrl":"https://jobs.ashbyhq.com/lambda/28fe6ae2-c6f7-4097-bded-b0fa291d783a/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Join Lambda's Legal team as a generalist intern, gaining hands-on in-house experience across Commercial and Corporate matters at a fast-paced AI infrastructure company. You'll work directly on a variety of commercial agreements (customer, vendor, NDA, and more) alongside corporate transactions like M&A, financing, and public company readiness. Beyond supporting the team's active transaction pipeline, you'll take ownership of several concrete projects designed to modernize how the team reviews and manages contracts.

What You’ll Do

You

Nice to Have

Salary Range Information

This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, an hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nJoin Lambda's Legal team as a generalist intern, gaining hands-on in-house experience across Commercial and Corporate matters at a fast-paced AI infrastructure company. You'll work directly on a variety of commercial agreements (customer, vendor, NDA, and more) alongside corporate transactions like M&A, financing, and public company readiness. Beyond supporting the team's active transaction pipeline, you'll take ownership of several concrete projects designed to modernize how the team reviews and manages contracts.\n\nWhat You’ll Do\n\n - Opportunity to get hands-on experience working in-house as a generalist supporting the Commercial and Corporate Legal teams at a fast-paced AI infrastructure company.\n\n - You will be a generalist supporting the team on many exciting transactions we have in the pipeline but some additional specific projects we have in mind:\n\n - Draft and validate an NDA and vendor-agreement triage playbook with clear GREEN/YELLOW/RED classification criteria and escalation paths\n\n - Build and annotate a clause and template library reflecting Lambda's standard and fallback contract positions\n\n - Use Claude or other AI tools to build and test an intake workflow that produces first-pass issue-spot summaries for counsel review\n\n - Draft a library of response templates for routine counterparty negotiation asks\n\n - Assist with onboarding the company on a new contract lifecycle management (CLM) platform\n\nYou\n\n - Currently pursuing a JD (2L or 3L preferred)\n\n - Have completed contracts coursework, with strong legal writing and analytical skills\n\n - Are comfortable working with AI-assisted tools such as Claude, or eager to learn them\n\n - Ability to work at least 1 day per week in our San Francisco office\n\nNice to Have\n\n - Prior internship at a law firm or in-house legal team\n\n - Experience with corporate and securities law and/or commercial or technology agreements\n\n - Familiarity with contract lifecycle or legal workflow tools\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, an hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"e3bf45bc-c78f-435c-922e-e24831d59670","title":"Senior FP&A Analyst - Engineering & Product","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-08-17T22:50:55.734+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e3bf45bc-c78f-435c-922e-e24831d59670","applyUrl":"https://jobs.ashbyhq.com/lambda/e3bf45bc-c78f-435c-922e-e24831d59670/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

What You'll Do

Project Spend, Internal Capacity & Fleet Optimization

Product Investment ROI & R&D Analysis

New Product Introduction (NPI) Management

Engineering & Product Headcount and OpEx Management (BvA)

Cash Flow Forecasting

Executive Reporting & Communication

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\n\n\nWhat You'll Do\n\nProject Spend, Internal Capacity & Fleet Optimization\n\n - Own project-level budgets, spend tracking, and cost-to-complete forecasts for Engineering and Product initiatives\n\n - Quantify internal capacity consumption across development, testing, and benchmarking; build and maintain allocation and chargeback methodology\n\n - Partner with Infrastructure and Engineering on fleet optimization, including utilization, idle capacity, instance mix, and reclamation opportunities\n\n - Translate optimization opportunities into quantified savings and track realization against target\n\nProduct Investment ROI & R&D Analysis\n\n - Build business cases and ROI models for product and R&D investments\n\n - Establish post-investment measurement; track realized returns against the original underwriting\n\n - Analyze R&D spend by initiative and support capitalization analysis with Accounting\n\n - Provide prioritization frameworks and trade-off analysis for competing investment requests\n\nNew Product Introduction (NPI) Management\n\n - Serve as the finance partner across the NPI lifecycle, from concept through launch and ramp\n\n - Model pricing, unit economics, margin, and volume assumptions for new offerings\n\n - Own stage-gate financial deliverables and launch readiness criteria\n\n - Track post-launch performance against the launch case and inform go/no-go and scaling decisions\n\nEngineering & Product Headcount and OpEx Management (BvA)\n\n - Own OpEx and headcount planning, tracking, and reporting for the Engineering, Product, and Cloud Services organizations\n\n - Maintain hiring plans, compensation assumptions, and organizational change tracking against approved headcount\n\n - Prepare monthly and quarterly budget vs. actual analysis, identify key drivers, and partner with Engineering and Product leaders to explain performance\n\n - Manage vendor, software, and tooling spend; support accrual and reclassification inputs with Accounting through the monthly close\n\nCash Flow Forecasting\n\n - Build and maintain the operating cash flow forecast model, including timing of vendor payments, capacity commitments, and project spend\n\n - Own the rolling near-term cash view; reconcile forecast to actuals and explain variances\n\n - Model scenarios around deployment timing, payment terms, and financing structures\n\n - Partner with Accounting and Treasury on payables timing, prepaids, and commitment schedules\n\nExecutive Reporting & Communication\n\n - Deliver Cloud Services, Engineering, and Product insights for monthly business reviews, executive reviews, and board materials\n\n - Translate complex technical and operational data into clear financial insight\n\n - Provide actionable recommendations on cost efficiency, investment prioritization, and margin improvement\n\nYou\n\n - Have a bachelor's degree in Finance, Accounting, Economics, or a related field\n\n - Have 4+ years experience in FP&A, corporate finance, investment banking, or consulting, ideally with a focus on Cloud / AI infrastructure, SaaS, Data centers, Telecom, Hardware, or industrials\n\n - Have direct experience partnering with Engineering or Product organizations on budget, roadmap, and investment decisions\n\n - Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making\n\n - Have excellent analytical, strategic thinking, and decision-making skills\n\n - Possess strong Excel skills and experience with financial software systems\n\n - Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects\n\n - Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely\n\n - Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement\n\n - Are able to work in an ambiguous environment with very little direction\n\nNice to Have\n\n - Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments\n\n - Direct experience building or owning a cash flow forecast\n\n - Experience with R&D capitalization, new product introduction, or product P&L ownership\n\n - Working proficiency in SQL and comfort querying large data sets directly\n\n - Familiarity with GPU compute, AI/ML workloads, or cloud infrastructure economics\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"b47d567c-f99a-4d0f-a128-8e6e42297ac5","title":"Engineering Manager, Fleet Engineering","department":"Data Center Business","team":"Fleet Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-08-22T00:33:11.349+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/b47d567c-f99a-4d0f-a128-8e6e42297ac5","applyUrl":"https://jobs.ashbyhq.com/lambda/b47d567c-f99a-4d0f-a128-8e6e42297ac5/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

About the Role

Fleet Engineering owns the full lifecycle of Lambda's production systems infrastructure — new product introduction, deployment, operation, and reliability of our GPU fleet. We enable the building and running of that infrastructure with speed, ease, and quality. The Fleet Engineering teams:

The work is highly cross-functional, carries executive visibility, and has a direct impact on Lambda and our customers. Fleet Engineering is at the forefront of delivering on-time, high-quality GPU capacity while driving efficiency at scale.

We are hiring multiple Engineering Managers for the following teams: Fleet Reliability, HPC Deployments, Fleet Foundation, Fleet Orchestration / Automation. This is a single application for all of them: you apply once, we get to know you, and we match you to the team where your strengths land best.

We value diverse backgrounds, experiences, and skills, and we're excited to hear from candidates who bring a unique perspective. If you don't exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.

What You'll Do

You

Nice to Have

Depth in any one of these is a strong signal, and helps us place you on the right team. Nobody has all of them.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nFleet Engineering owns the full lifecycle of Lambda's production systems infrastructure — new product introduction, deployment, operation, and reliability of our GPU fleet. We enable the building and running of that infrastructure with speed, ease, and quality. The Fleet Engineering teams:\n\n - HPC Deployments — Turns bare metal into production-ready capacity: ensure firmware leveling, system burn-in to shake out early failures, and validation of server performance and correctness, through to the InfiniBand fabric and GPU clusters.\n\n - Fleet Reliability — Day-2 operations across the fleet. Keeps systems healthy and keeps as much of the fleet in service for as much of its useful life as possible.\n\n - Fleet Orchestration / Data — Owns our production source of truth system. Synchronizes data from upstream systems and holds the line on correctness and quality, because everything automated downstream depends on it.\n\n - Fleet Orchestration / Automation — Owns the workflow orchestration system which people use to safely work on fleet systems for workflows that include: locking hosts, running firmware leveling jobs, OS installs, burn-in and validation, and reporting on work in flight and its results.\n\n - Fleet Foundation — Builds the host enablement tooling systems: OS and ZTP switch provisioning, firmware management, out-of-band access, and power management.\n\nThe work is highly cross-functional, carries executive visibility, and has a direct impact on Lambda and our customers. Fleet Engineering is at the forefront of delivering on-time, high-quality GPU capacity while driving efficiency at scale.\n\nWe are hiring multiple Engineering Managers for the following teams: Fleet Reliability, HPC Deployments, Fleet Foundation, Fleet Orchestration / Automation. This is a single application for all of them: you apply once, we get to know you, and we match you to the team where your strengths land best.\n\nWe value diverse backgrounds, experiences, and skills, and we're excited to hear from candidates who bring a unique perspective. If you don't exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.\n\n\nWhat You'll Do\n\n - Lead and grow a distributed team of top-talent engineers responsible for the deployment and operation of production systems infrastructure.\n\n - Work cross-functionally to deliver projects and deployments on time, ensuring alignment across stakeholders.\n\n - Identify opportunities for efficiency gains in the tools, processes, and automation that teams across the organization rely on day to day.\n\n - Give stakeholders clear visibility into project progress, risks, and outcomes.\n\n - Participate in qualification efforts for new technologies entering our production deployments.\n\n - Drive outcomes by managing staff allocation, project priorities, deadlines, and deliverables.\n\n - Hold regular 1:1s, give constructive feedback, and support career development for your team.\n\n - Contribute to reliability through participation in our Incident Management and Review programs.\n\nYou\n\n - Have 3+ years leading or managing engineers, in AI/ML infrastructure or another large-scale compute environment.\n\n - Have owned production systems with real SLAs, and can balance keeping things running against long-term, high-impact work — paying down toil and technical debt along the way.\n\n - Work confidently in Linux and can debug across the OS, hardware, and networking layers.\n\n - Can lead technical design on medium-to-large efforts: take an ambiguous problem, write the doc, drive alignment across teams, and ship.\n\n - Work well under deadlines and structured project plans, and can tactfully negotiate changes to timelines when reality demands it.\n\n - Collaborate effectively with peer engineering managers on efforts that cut across deployment and operations.\n\n - Build high-performing teams deliberately — through hiring, upskilling, planned skills redundancy, performance management, and clear expectations.\n\n - Have excellent problem-solving and troubleshooting instincts.\n\n - Are excited about working at the intersection of hardware, software, and physical datacenter builds.\n\n - Leave systems, and the teammates around you, better than you found them.\n\nNice to Have\n\nDepth in any one of these is a strong signal, and helps us place you on the right team. Nobody has all of them.\n\n - Linux systems administration, TCP/IP networking, automation, and scripting.\n\n - Bare metal provisioning and lifecycle management — PXE, Redfish, IPMI, BMC, DHCP, DNS.\n\n - Strong coding ability in at least one language, plus comfort with APIs, distributed systems, and automation pipelines.\n\n - The technologies underpinning our cloud business: GPU acceleration, virtualization, cloud computing.\n\n - Datacenter physical infrastructure: racks, switches, InfiniBand fabric, power domains.\n\n - Network source-of-truth or DCIM tooling (NetBox or similar), and data quality practice at scale.\n\n - Building Linux distributions, or managing OS customization and imaging.\n\n - Incorporating AI-assisted development tools into engineering workflows — code generation, debugging, test development, documentation.\n\n - Customer awareness, empathy, and diplomacy.\n\n - Bachelor's degree or equivalent experience in a technical field.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"04b3e06c-6403-48c6-84b2-c7b849248afc","title":"Senior Business Systems Architect","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-08-25T23:04:13.836+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/04b3e06c-6403-48c6-84b2-c7b849248afc","applyUrl":"https://jobs.ashbyhq.com/lambda/04b3e06c-6403-48c6-84b2-c7b849248afc/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

We are seeking an experienced Senior Business Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions.

Your responsibilities will include architecting end-to-end solutions, managing complex system integrations, and building a strategic roadmap for enterprise system enhancements. This role requires strong leadership, deep technical expertise, and a proactive approach to solving business challenges.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nWe are seeking an experienced Senior Business Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions.\n\nYour responsibilities will include architecting end-to-end solutions, managing complex system integrations, and building a strategic roadmap for enterprise system enhancements. This role requires strong leadership, deep technical expertise, and a proactive approach to solving business challenges.\n\nWhat You’ll Do\n\n - Strategic Leadership: Collaborate with stakeholders across functions to develop and execute scalable system roadmaps, aligning business goals with system capabilities.\n\n - Solution Design & Implementation: Architect and deploy advanced workflows, configurations, and modules in enterprise platforms like NetSuite, Coupa, Stripe, and Chargebee.\n\n - Tooling Selection & Standardization: Lead the evaluation, selection, and implementation of tools and systems across the business to ensure alignment with operational needs, scalability, and long-term goals. Establish standards for system usage and integration.\n\n - Integration & Automation: Manage integrations and optimize iPaaS tools (e.g., Workato, Mulesoft) to ensure seamless data flow, interoperability, and automated processes across platforms.\n\n - Compliance & Optimization: Ensure SOX compliance through robust internal controls, system audits, and governance while driving continuous system improvements.\n\n - Support & Analytics: Troubleshoot complex issues, mentor team members, and deliver actionable insights through advanced reporting and dashboards to support decision-making.\n\nYou\n\n - Experience & Certification:\n \n - 10+ years of experience in business systems architecture or administration, including hands-on implementation of enterprise systems.\n \n - Strong understanding of Finance technology stacks, including NetSuite, Coupa, Supply Chain, Asset Management, Billing systems and related business applications\n \n - Certifications in relevant platforms (e.g., NetSuite Administrator, iPaaS) strongly preferred.\n\n - Technical Expertise:\n \n - Proficiency in languages like JavaScript/SQL/ HTML/CSS/Python.\n \n - Strong experience with middleware and low/no-code platforms (e.g., Workato, n8n, Mulesoft, Alteryx) for system integrations & workflow automations.\n\n - Process Automation:\n \n - Demonstrated success in deploying process automation tools to streamline operations and increase efficiency.\n\n - Compliance & Controls:\n \n - Strong knowledge of ITGCs (IT General Controls) and SOX compliance.\n\n - Leadership & Communication:\n \n - Excellent communication skills to effectively collaborate across all levels of leadership from technical staff to senior executives.\n \n - Proven ability to present complex technical solutions in a clear and compelling manner\n\n - AI Automation & Development\n \n - Hands-on experience leveraging AI and machine learning tools to design, build, and deploy intelligent automation solutions that enhance business processes.\n \n - Proficiency with AI-powered platforms and frameworks (e.g., OpenAI, Anthropic, LangChain, or similar) to develop custom workflows, copilots, and agentic solutions.\n \n - Proven ability to identify high-impact automation opportunities and translate them into scalable AI-driven implementations across finance and enterprise systems.\n\nNice to Have\n\n - Proficiency in system customization tools like SuiteScript, Salesforce Flow, or equivalent.\n\n - Experience with building Internal AI apps on AWS.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"32509ea2-e784-444e-9b9d-b9d7b1f0b110","title":"Senior Software Engineer – Billing & Identity","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[],"publishedAt":"2026-08-25T23:14:47.451+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/32509ea2-e784-444e-9b9d-b9d7b1f0b110","applyUrl":"https://jobs.ashbyhq.com/lambda/32509ea2-e784-444e-9b9d-b9d7b1f0b110/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

What You’ll Do

Some telecommuting permitted (hybrid).

You

#LI-DNI #LI-NDI #LI-DNP

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n\n\nWhat You’ll Do\n\n - Architect, design, and develop complex distributed systems and computer applications for processing massive amounts of data and usage events\n\n - Design and build report interfaces and data feeds for downstream financial systems to ensure financial accuracy.\n\n - Create consumer software products for billing and pricing features using Golang and Python programming languages by iteratively taking technical design requirements from the design team and product requirements from the product teams.\n\n - Responsible for improving software quality through thoughtful code reviews, appropriate software testing, proper rollout, monitoring, and proactive changes.\n\n - Establish best practices for enabling continuous integrations deployments a week and setup a clean process to rollback changes as needed.\n\n - Track system and software key performance indicators (KPIs), revenue impact, response times, and latency to make data-driven recommendations for continuous improvement.\n\nSome telecommuting permitted (hybrid).\n\nYou\n\n - Master’s degree in Computer Science or a related field plus 5 years of experience as a Software Engineer or related occupation.\n\n - Must have at least 1 year of prior work experience in each of the following:\n \n 1. Industry-standard coding languages, including Python and GoLang\n \n 2. Databases, Storage & Analysis, including SQL, Hive, Presto, DynamoDB, and S3\n \n 3. Software development tools and revision control systems, including VIM, GIT, and shell scripting\n \n 4. Building highly-scalable performant solutions\n \n 5. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems\n \n 6. Designing scalable distributed systems with established partition tolerance, consistency, and availability guarantees.\n \n \n \n \n\n#LI-DNI #LI-NDI #LI-DNP\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"31fa5205-4f1f-4fa3-8fa9-7636940dd3b3","title":"Senior Manager, Detection and Response","department":"Data Center Business","team":"Security","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-04T20:01:11.012+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/31fa5205-4f1f-4fa3-8fa9-7636940dd3b3","applyUrl":"https://jobs.ashbyhq.com/lambda/31fa5205-4f1f-4fa3-8fa9-7636940dd3b3/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


About the Role

Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.

Reporting to the CISO, you'll lead the Detection & Response team that acts as an intelligent backstop—ensuring Lambda is the safest place to build with AI by catching security issues in real-time while enabling our business to move at hypergrowth velocity. Your team will transform reactive security operations into a proactive threat management engine, dedicating the majority of their effort to automation, threat hunting, and capability building rather than constant firefighting.

Your team will directly affect customers’ trust in the safety of their data by implementing enterprise-grade detection capabilities, automating incident response workflows, and hardening our multi-cloud and bare metal infrastructure while you are building sustainable programs where senior engineers thrive solving novel security challenges. With unique access to LLMs hosted on our own infrastructure, your team will pioneer AI-powered security solutions that wouldn't be possible anywhere else. Key priorities include 24/7 operational coverage, maintaining customer trust through rapid incident response, and delivering a comprehensive D&R strategy within your first 6 months.

If you're excited about building security operations so efficient that they're \"almost boring,\" where automation handles the routine so your team can focus on the novel, we want to talk.

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Senior Manager role. Your application is not a waste of our time.


What You’ll Do

Team Leadership & Management:

Technical Strategy & Execution:

Strategic Collaboration & Business Impact:

Operational Excellence & Scaling:

What We Think a Candidate Needs to Demonstrate to Succeed

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.\n\nReporting to the CISO, you'll lead the Detection & Response team that acts as an intelligent backstop—ensuring Lambda is the safest place to build with AI by catching security issues in real-time while enabling our business to move at hypergrowth velocity. Your team will transform reactive security operations into a proactive threat management engine, dedicating the majority of their effort to automation, threat hunting, and capability building rather than constant firefighting.\n\nYour team will directly affect customers’ trust in the safety of their data by implementing enterprise-grade detection capabilities, automating incident response workflows, and hardening our multi-cloud and bare metal infrastructure while you are building sustainable programs where senior engineers thrive solving novel security challenges. With unique access to LLMs hosted on our own infrastructure, your team will pioneer AI-powered security solutions that wouldn't be possible anywhere else. Key priorities include 24/7 operational coverage, maintaining customer trust through rapid incident response, and delivering a comprehensive D&R strategy within your first 6 months.\n\nIf you're excited about building security operations so efficient that they're \"almost boring,\" where automation handles the routine so your team can focus on the novel, we want to talk.\n\nWe value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Senior Manager role. Your application is not a waste of our time.\n\n\nWhat You’ll Do\n\nTeam Leadership & Management:\n\n - Build, hire, and lead a high-performing Detection & Response team that can scale with Lambda's hypergrowth while maintaining 24/7 operational excellence\n\n - Define team processes, culture, and operating rhythms that balance startup agility with security discipline, creating an environment where senior engineers thrive on automation and novel challenges\n\n - Conduct regular one-on-ones, provide constructive feedback, and create clear career development paths that help security engineers advance their technical and leadership skills\n\n - Drive outcomes by managing project priorities, deadlines, and deliverables while establishing our blameless post-incident culture focused on systemic improvements rather than individual accountability\n\nTechnical Strategy & Execution:\n\n - Define and implement threat management frameworks that transform reactive security operations into proactive threat hunting and detection, establishing automation standards that eliminate repetitive work and enable your team to focus on novel challenges\n\n - Architect incident response processes, escalation frameworks, and triage protocols that protect Lambda from impact while scaling with the company’s growth\n\n - Guide technology choices and evangelize new security tools, including pioneering AI-powered detection capabilities using our direct access to state-of-the-art LLMs\n\nStrategic Collaboration & Business Impact:\n\n - Create data-driven insights showing where we are reacting most frequently to guide investments in preventative controls\n\n - Partner with Product and Platform engineering teams to evolve our detection and response capabilities as Lambda’s infrastructure grows\n\n - Lead cross-functional collaboration during critical events and establish executive reporting that translates technical incidents into business impact while driving blameless post-incident reviews to continuously strengthen security posture\n\nOperational Excellence & Scaling:\n\n - Drive weekly operations reviews that ensure nothing falls through the cracks while building institutional knowledge and defining repeatable processes from every incident\n\n - Define sustainable on-call rotations and operational procedures that maintain 24/7 coverage without burning out senior engineers\n\n - Establish the team's 6-month strategic roadmap for comprehensive D&R capabilities while defining success criteria and measurable outcomes\n\nWhat We Think a Candidate Needs to Demonstrate to Succeed\n\n - 10+ years of security experience with 5+ years leading technical teams, demonstrating ability to build and manage independently\n\n - Proven ability to define and build security programs from the ground up that accelerate business initiatives, with demonstrated experience establishing team processes, technical frameworks, and cross-functional partnerships\n\n - Excellence at building automation-first security programs where technology eliminates toil and teams never do the same thing twice\n\n - Clear understanding of the unique requirements of securing a cloud infrastructure provider\n\n - Proven ability to create sustainable team cultures where senior engineers thrive long-term rather than burning out on repetitive tasks\n\n - Strong judgment in security response, understanding real business impact and calibrating actions proportionally\n\n - Track record of translating technical security work into executive communications and business-aligned metrics\n\n - Thrives in high-ambiguity environments where you must build structure while executing at startup pace\n\nNice to Have\n\n - Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security operations—imagine AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization at a scale only possible when you host the AI infrastructure yourself.\n\n - Experience building D&R programs at AI/ML companies\n\n - Track record using AI/ML for security operations automation (yes, we know it’s all brand new)\n\n - Background scaling security during hypergrowth (10x growth phases)\n\n - Deep technical background allowing hands-on contribution when needed\n\n - Experience with both build and buy decisions for security tooling\n\n - Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"374aaca0-3895-4f44-9075-0ecd8a28b703","title":"Head of Content","department":"Sales & Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-09-01T15:38:27.818+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/374aaca0-3895-4f44-9075-0ecd8a28b703","applyUrl":"https://jobs.ashbyhq.com/lambda/374aaca0-3895-4f44-9075-0ecd8a28b703/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

Every GPU cloud provider claims to offer faster, cheaper, and more reliable solutions. ML engineers and decision-makers must sift through these promises to form a trustworthy opinion. Lambda fills the gap between claims and real outcomes.

You own the entire process, from strategy to production. Your audience may be a researcher testing a training run or an enterprise buyer building a procurement case, but you control the message. You set the standards, build the system, and define the quality.

 

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nEvery GPU cloud provider claims to offer faster, cheaper, and more reliable solutions. ML engineers and decision-makers must sift through these promises to form a trustworthy opinion. Lambda fills the gap between claims and real outcomes.\n\nYou own the entire process, from strategy to production. Your audience may be a researcher testing a training run or an enterprise buyer building a procurement case, but you control the message. You set the standards, build the system, and define the quality.\n\n \n\nWhat You’ll Do\n\n - Own the strategy and the roadmap. Map content to the full buyer journey, from awareness and education through evaluation and retention, against Lambda's growth, product, and brand goals.\n\n - Set and maintain the quality bar. Establish rigorous quality standards that empower the team to execute with excellence independently.\n\n - Run the production system. Intake, prioritization, drafting, review, and launch, at the cadence of product and model releases.\n\n - Shape how AI gets used in content production. Build the workflows and standards that let AI speed up the work without lowering the bar.\n\n - Own discovery. SEO and generative engine optimization (GEO) are how most people find us. Keyword research, content gap analysis, and on-page work are inputs to strategy, not a cleanup pass at the end.\n\n - Build the executive voice. Turn Lambda's narrative into thought leadership that holds up in front of ML engineers and data center operators.\n\n - Partner on launches. Work with technical product marketing and growth so every major launch and campaign is supported by a well-timed, end-to-end content program.\n\n - Own measurement. Traffic, engagement, pipeline influence, and content-assisted conversion, fed back into what the team makes next.\n\n - Build the team. Hire, develop, and shape the content org as it grows.\n\nYou\n\n - You have taste. You can't walk past a vague sentence or a case study that says nothing. You know the difference between content that's technically correct and content that's actually worth reading, and you can teach that difference to someone else.\n\n - You're deeply curious about AI. You follow model releases, read top papers, and understand why memory bandwidth matters to an ML engineer. You can tell when a technical claim is load-bearing and when it's decoration.\n\n - You have a point of view on AI-assisted content. You've produced work with these tools yourself, you know what to trust them with, and you have opinions about where they break down.\n\n - You've led a content function, not just a content calendar. You've managed and grown people, and you can point to content you shipped and results you can attribute to it.\n\n - You think in systems. You design content architectures, not individual pieces. You understand how a benchmark post, a technical guide, and a case study work together.\n\n - You balance strategy and execution. You can build a 12-month roadmap and then sit with a writer to get one hard piece over the line. Neither mode intimidates you.\n\n - You excel at cross-functional leadership. You work with technical product marketers, researchers, engineers, designers, and web marketers, and you synthesize all of it into one coherent editorial vision.\n\n - You're rigorous about measurement. You define what working means, instrument for it, and act on what you find.\n\nNice to Have\n\n - Experience writing or editing for ML practitioners, whether at an infrastructure company, a research lab, or a developer tools start-up.\n\n - Experience building AI-assisted production workflows for content or other creative work.\n\n - A track record building organic and generative search visibility in the AI space.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"3657e8cd-ee20-49c4-af4e-4bd1497109a6","title":"Executive Communications Manager","department":"Sales & Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-09-01T15:35:54.822+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/3657e8cd-ee20-49c4-af4e-4bd1497109a6","applyUrl":"https://jobs.ashbyhq.com/lambda/3657e8cd-ee20-49c4-af4e-4bd1497109a6/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

About the role

Lambda is hiring a Communications Manager to build out the executive communications strategy for our leadership team. You will work with each of our executives to shape their individual voice and public profile, and build the systems that make the work repeatable as the company scales.

What You’ll Do

You

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAbout the role\n\nLambda is hiring a Communications Manager to build out the executive communications strategy for our leadership team. You will work with each of our executives to shape their individual voice and public profile, and build the systems that make the work repeatable as the company scales.\n\n\nWhat You’ll Do\n\n - Set the external agenda for each member of the leadership team and run the program behind it.\n\n - Write talking points, keynotes, long-form pieces, social posts, and more.\n\n - Pitch and place executive interviews, profiles, and speaking opportunities.\n\n - Build relationships with the reporters and analysts who cover AI infrastructure.\n\n - Build the systems behind the program: message frameworks, talk tracks, etc.\n\n - Manage our agency relationships.\n\nYou\n\n - Have 7+ years of experience in communications, including in-house experience at a hypergrowth start-up.\n\n - Have built out and managed executive communications playbooks for multiple leaders across an organization.\n\n - Have strong media relationships and a track record you can point to.\n\n - Know the AI space, particularly AI infrastructure.\n\n - Are a strong writer and have experience ghostwriting for executives across multiple functions.\n\n - Work well with technical and non-technical teams.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"863c214b-6a40-48b4-80ff-989b43a72511","title":"Technical Product Marketing Manager - Public Cloud","department":"Sales & Marketing","team":"Marketing","employmentType":"FullTime","location":"San Jose Office (First St)","secondaryLocations":[{"location":"San Francisco Office (Second St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-01T15:39:32.450+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/863c214b-6a40-48b4-80ff-989b43a72511","applyUrl":"https://jobs.ashbyhq.com/lambda/863c214b-6a40-48b4-80ff-989b43a72511/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

An ML team spins up an on-demand instance to prototype, outgrows it within a month, and needs a 512-GPU cluster with managed Slurm before their next training run. This role owns how Lambda meets them at every step: how the Public Cloud portfolio is positioned, packaged, launched, and enabled across self-service and sales-assisted motions.

Lambda Cloud is a unified public cloud purpose-built and performance-optimized for AI workloads. The portfolio spans on-demand and reserved GPU instances, 1-Click Clusters, managed Kubernetes and Slurm, and supporting storage, networking, and platform capabilities. It serves customers ranging from AI-native startups and ML teams to enterprises and frontier labs.

We're hiring a technical product marketing manager to own product marketing for the Public Cloud portfolio. You'll define how the portfolio is positioned, packaged, launched, and enabled across self-service and sales-assisted motions, working daily with product management, engineering, sales, solutions engineering, enablement, finance, and marketing. Product management owns product truth. You translate that truth into positioning, use cases, launches, and content that drive adoption and revenue.

This role requires infrastructure depth. You can explain how GPU architecture, interconnect, storage throughput, data movement, orchestration, reliability, and cloud consumption models affect distributed training and inference. You can also communicate those tradeoffs to ML engineers, Enterprise architects, sales teams, and executive buyers.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\n\nAn ML team spins up an on-demand instance to prototype, outgrows it within a month, and needs a 512-GPU cluster with managed Slurm before their next training run. This role owns how Lambda meets them at every step: how the Public Cloud portfolio is positioned, packaged, launched, and enabled across self-service and sales-assisted motions.\n\nLambda Cloud is a unified public cloud purpose-built and performance-optimized for AI workloads. The portfolio spans on-demand and reserved GPU instances, 1-Click Clusters, managed Kubernetes and Slurm, and supporting storage, networking, and platform capabilities. It serves customers ranging from AI-native startups and ML teams to enterprises and frontier labs.\n\nWe're hiring a technical product marketing manager to own product marketing for the Public Cloud portfolio. You'll define how the portfolio is positioned, packaged, launched, and enabled across self-service and sales-assisted motions, working daily with product management, engineering, sales, solutions engineering, enablement, finance, and marketing. Product management owns product truth. You translate that truth into positioning, use cases, launches, and content that drive adoption and revenue.\n\nThis role requires infrastructure depth. You can explain how GPU architecture, interconnect, storage throughput, data movement, orchestration, reliability, and cloud consumption models affect distributed training and inference. You can also communicate those tradeoffs to ML engineers, Enterprise architects, sales teams, and executive buyers.\n\n\n\nWhat You’ll Do\n\n - Own Public Cloud product marketing. Define and maintain positioning, messaging, audience segmentation, and the use-case library across the portfolio. Serve as the primary product marketing partner to the Public Cloud business unit, working with product management on roadmap context, packaging, and launch planning.\n\n - Build use cases and the portfolio GTM architecture. Translate training, fine-tuning, inference, and proof-of-concept workloads into documented, sellable use cases mapped to segment and infrastructure requirements. Establish how customers progress from on-demand evaluation to 1-Click Clusters and managed services. Clarify which offering fits each workload, segment, operational model, cluster size, and commercial commitment.\n\n - Execute product launches. Own launch execution for new product features, instance types, APIs, and managed services. Partner with product management and engineering from roadmap planning through general availability, including launch, audience definition, positioning, technical validation, content, field readiness, and post-launch analysis.\n\n - Create product-focused technical content. Produce messaging and positioning, solution briefs, datasheets, benchmark narratives, technical blogs, reference architectures, API and CLI walkthroughs, and use cases. Validate every technical claim with Product Management and Engineering.\n\n - Support sales and solutions engineering. Build discovery frameworks, qualification guidance, pitch materials, proposal content, battlecards, technical training, and competitive displacement narratives. Support active opportunities with workload- and segment-specific positioning.\n\n - Enable the broader marketing organization. Equip demand generation, growth, content, events, web, communications, and customer marketing with approved messaging, use cases, audience guidance, technical proof points, and launch materials. Review downstream content for consistency and technical accuracy.\n\nYou\n\n - 7+ years of product marketing, technical marketing, product management, or related experience in cloud infrastructure, IaaS, managed services, or adjacent developer platforms\n\n - Demonstrated ownership of a technical product portfolio, including positioning, use-case development, product launches, competitive strategy, field enablement, and adoption\n\n - Deep working knowledge of AI infrastructure, with the ability to independently reason about GPU architectures, bare metal and virtualized compute, multi-node cluster topology, InfiniBand and RDMA fabrics, Ethernet networking, storage and data movement, Kubernetes and Slurm, APIs, observability, reliability, and cloud security\n\n - Demonstrated ability to produce technical content (benchmarks, whitepapers, architecture guides, datasheets, solution briefs, and technical demos) that withstands review by engineering audiences\n\n - Strong written and verbal communication across technical and GTM audiences, from engineers and infrastructure architects to sales leadership and executive buyers\n\nNice to Have\n\n - Hands-on experience deploying AI or HPC workloads using a cloud console, API, CLI, Kubernetes, or Slurm\n\n - Familiarity with CUDA, PyTorch, NCCL, distributed training frameworks, and benchmarking methodologies such as MLPerf\n\n - Experience marketing managed Kubernetes, managed Slurm, GPU cloud infrastructure, or MLOps offerings\n\n - Previous experience as a product manager, solutions architect, infrastructure engineer, developer advocate, or technical sales engineer\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"a2d61a5b-b39c-4879-838a-4dceb63da850","title":"Technical Account Manager","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue Office","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}}}],"publishedAt":"2026-09-01T15:39:58.712+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/a2d61a5b-b39c-4879-838a-4dceb63da850","applyUrl":"https://jobs.ashbyhq.com/lambda/a2d61a5b-b39c-4879-838a-4dceb63da850/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


The Technical Account Manager owns the technical health of the post-sales relationship for Lambda’s public cloud accounts, spanning AI-native startups, Enterprises, and Fortune 500 companies. Where the Customer Success Manager owns the commercial health of an account, you own its technical health: the customer’s workloads run well, the architecture is right, the SLA story is defensible, and technical risk is found and retired before it threatens revenue. Solutions Engineering carries the account through pre-sales and hypercare; at handoff, you take ownership of the technical relationship for the life of the contract.

This is a hands-on role, not a coordination role. You will understand what customers are actually building (training runs, fine-tuning pipelines, inference services) deeply enough to lead joint POC sessions, design and defend architectures, validate SLA events at the root-cause level, and build the tooling that makes account health measurable. You will be the customer’s most credible technical advocate inside Lambda and Lambda’s most trusted technical voice inside the account.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nThe Technical Account Manager owns the technical health of the post-sales relationship for Lambda’s public cloud accounts, spanning AI-native startups, Enterprises, and Fortune 500 companies. Where the Customer Success Manager owns the commercial health of an account, you own its technical health: the customer’s workloads run well, the architecture is right, the SLA story is defensible, and technical risk is found and retired before it threatens revenue. Solutions Engineering carries the account through pre-sales and hypercare; at handoff, you take ownership of the technical relationship for the life of the contract.\n\nThis is a hands-on role, not a coordination role. You will understand what customers are actually building (training runs, fine-tuning pipelines, inference services) deeply enough to lead joint POC sessions, design and defend architectures, validate SLA events at the root-cause level, and build the tooling that makes account health measurable. You will be the customer’s most credible technical advocate inside Lambda and Lambda’s most trusted technical voice inside the account.\n\nWhat You’ll Do\n\n - Own the technical health of your accounts. Take the technical handoff from Solutions Engineering at the end of hypercare and own the account’s technical outcomes through steady state, expansion, and renewal. Know the state of every cluster and workload you are accountable for, and keep your commercial counterparts ahead of technical risk.\n\n - Understand customer AI use cases end to end. Map what it means for each customer to train, fine-tune, and serve models on Lambda: frameworks, schedulers, parallelism strategy, data paths, and performance baselines. Build the customer user journey and convert it into value-add opportunities across the platform, documentation, and escalation routing.\n\n - Lead joint customer POC sessions. Define success criteria with the customer before a node is provisioned: acceptance thresholds, benchmarks, timelines. Own the execution plan, coordinate capacity and provisioning, run or oversee the tests, and drive the POC to a clear verdict: win the workload, close the gap through product, or qualify out.\n\n - Lead customer architecture designs. Produce and defend reference architectures spanning compute, networking, storage, connectivity, and scheduler integration (Slurm, Kubernetes). Make support boundaries explicit: what is managed and what is not. Own the design as it evolves after handoff, pulling in engineering domain experts with specific, well-framed questions.\n\n - Own SLA and reliability engineering. Build and own the canonical methodology for uptime, downtime, and credit calculation. Validate breach events at the technical level, down to the specific Ethernet or InfiniBand failure, and arm CSMs and leadership with defensible numbers. Partner with product to standardize SLA language and structure across 1CC, on-demand, and reserved offerings.\n\n - Build the tooling that makes accounts measurable. Own the technical data surfaces for customer health end to end: dashboards, telemetry and uptime history views, health scoring, and churn early-warning signals. Scope, build, and drive adoption. Replace “escalate to engineering to answer a basic question” with self-serve data for the whole GTM org.\n\n - Direct technical escalations and incidents. Serve as the technical lead during high-severity events on your accounts: drive root cause, hold the quality bar on RCAs, coordinate engineering, support, and vendors (NVIDIA, storage, networking), and give account teams a technically accurate narrative. Run proactive maintenance and known-issue communication so customers hear about problems from Lambda first.\n\n - Drive the technical voice of the customer. Run a structured feature-request pipeline into product with committed triage timelines. Audit the platform hands-on by provisioning as a customer and testing known friction points. Lead product-led POCs (for example, NVIDIA NIM) that open new value for customers.\n\n - Know the market technology landscape. Track GPU roadmaps, competing clouds and neoclouds, and the evolving training and inference stacks. Brief customers on what is coming and internal teams on where Lambda stands, and let that context shape architecture and expansion recommendations.\n\nYou\n\n - 5+ years in technical account management, solutions engineering or architecture, ML engineering, technical program or product management, or infrastructure engineering with significant customer-facing scope, in cloud, HPC, or AI infrastructure.\n\n - Hands-on fluency with GPU infrastructure: able to provision, benchmark, and debug across compute, networking (InfiniBand, Ethernet), storage, and schedulers (Slurm, Kubernetes), and to read results critically.\n\n - Working command of AI/ML workloads (training, fine-tuning, inference) sufficient to map a customer’s stack, identify constraints, and lead technical conversations with their ML and infrastructure engineers.\n\n - Track record leading structured technical engagements: POCs with defined success criteria, architecture designs, benchmark programs, or high-severity escalations.\n\n - A builder’s toolkit: scripting, SQL, and dashboarding, with a history of turning operational data into tools other people depend on.\n\n - Executive-grade communication of deeply technical content, in writing and in the room.\n\n - Comfort with ambiguity and a track record of building methodology where none exists.\n\nNice to Have\n\n - Experience at an AI cloud, neocloud, or hyperscaler serving large-scale GPU or HPC customers.\n\n - Applied LLM experience (fine-tuning, RAG systems, or inference serving) that mirrors the workloads Lambda customers run.\n\n - Depth in the NVIDIA ecosystem: NIM and NeMo, Base Command / BCM, the CUDA stack, DGX-class systems.\n\n - Familiarity with SLA structures, service credits, enterprise contract mechanics, and retention metrics (NRR/GRR).\n\n - Product management or TPM background with experience converting customer evidence into roadmap decisions.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"5e962d3b-7d7d-43f8-a784-8ac2bfb2d0d4","title":"Director, Treasury","department":"G&A","team":"FP&A","employmentType":"FullTime","location":"San Francisco Office (Second St)","secondaryLocations":[{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-09-01T15:36:32.559+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/5e962d3b-7d7d-43f8-a784-8ac2bfb2d0d4","applyUrl":"https://jobs.ashbyhq.com/lambda/5e962d3b-7d7d-43f8-a784-8ac2bfb2d0d4/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Lambda is scaling Treasury to support financing and operating a multi-gigawatt AI infrastructure buildout. As Director, Treasury, reporting to the VP, Treasurer, you'll be a key leader on the Treasury team, serving as a deputy who can operate across the full breadth of the function and step in with authority on any workstream. You'll provide day-to-day team guidance across cash operations and forecasting, investment management, liquidity and capital deployment, debt and financing compliance, insurance, and risk management.

What You’ll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nLambda is scaling Treasury to support financing and operating a multi-gigawatt AI infrastructure buildout. As Director, Treasury, reporting to the VP, Treasurer, you'll be a key leader on the Treasury team, serving as a deputy who can operate across the full breadth of the function and step in with authority on any workstream. You'll provide day-to-day team guidance across cash operations and forecasting, investment management, liquidity and capital deployment, debt and financing compliance, insurance, and risk management.\n\n\nWhat You’ll Do\n\n - Own treasury cash management strategy, including liquidity planning and working capital optimization.\n\n - Build and own Lambda's investment management platform for corporate cash.\n\n - Establish Treasury's risk management program and policy, including FX, interest rate, and power risk.\n\n - Develop 13-week and long-term cash flow forecasting infrastructure, including implementation of a Treasury Management System (TMS).\n\n - Own day-to-day banking relationships across Lambda's bank partners, partnering with Capital Markets/Corp Dev on credit facility and financing relationships.\n\n - Partner with Capital Markets and FP&A on capital allocation decisions, IPO readiness, and other scaling project support.\n\n - Oversee intercompany funding structures, cross-border transactions, SPV account waterfalls, and cash liquidity strategy.\n\n - Develop and grow a treasury team as the function scales.\n\n - Support the corporate risk insurance program, liaising with Legal and FP&A teams.\n\n - Build Treasury policies, controls, and approval frameworks designed for IPO readiness.\n\n - Prepare Treasury materials for the CFO, executive leadership, and audit/board committees\n\nYou\n\n - 8+ years of progressive experience in treasury, corporate finance, or a related function, at a senior level at a high-growth or pre-IPO technology company.\n\n - Demonstrated expertise in cash flow forecasting, liquidity management, and bank relationship management.\n\n - Experience with ERP systems and Treasury Management Systems (TMS).\n\n - Broad treasury fluency; comfortable moving across cash management, debt/covenant compliance, capital markets, insurance, and financial risk management.\n\n - People leadership experience, with a track record of managing, mentoring, and providing hands-on guidance to a team, and of prioritizing across competing, mission-critical workstreams.\n\n - Advanced Excel and financial modeling skills; strong presentation-building skills; comfort working cross-functionally.\n\n - Strong executive presence and communication skills; able to represent Treasury independently with banks, lenders, auditors, and executive leadership.\n\n - Bachelor's degree in Finance, Accounting, Economics, or related field; CTP or CFA designation preferred.\n\nNice to Have\n\n - Experience with interest rate, power derivatives, and ISDA documentation.\n\n - Experience with GPU, data center, or other capital-intensive infrastructure financing.\n\n - SOX readiness or public company treasury experience.\n\n - Experience building AI tools or embedding AI into treasury workflows to improve forecasting, visibility, and control.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"65c58572-7ffa-4e26-a252-771dd89ab0d8","title":"Staff Data Center Implementation Manager","department":"Data Center Business","team":"Data Center Design & Fit Out","employmentType":"FullTime","location":"Remote, USA","secondaryLocations":[],"publishedAt":"2026-09-05T00:37:25.089+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/65c58572-7ffa-4e26-a252-771dd89ab0d8","applyUrl":"https://jobs.ashbyhq.com/lambda/65c58572-7ffa-4e26-a252-771dd89ab0d8/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Travel: 50% , Travel required to various data center sites.


What You’ll Do

As a Data Center Implementation Manager, you will lead the end-to-end execution of multiple concurrent data center infrastructure projects, spanning Greenfield builds, colocation white space fit-outs, equipment upgrades, and lifecycle replacements. You’ll serve as the single point of contact for all construction activities on your assigned projects, coordinating closely with data center providers, MEP contractors, and internal stakeholders.

Your role includes overseeing construction schedules and budgets, managing OFCI equipment procurement and installation, conducting design reviews, and driving alignment across cross-functional teams including electrical, mechanical, low voltage, and network engineering. You’ll also contribute to continuous improvement initiatives, integrating emerging technologies and design innovations into our infrastructure strategy.


Key Responsibilities

Ideal Candidate Profile

Top Five Requirements

  1. End-to-End Data Center Construction Experience:

  2. Strong MEP & OFCI Coordination Skills:

  3. Project Budget & Schedule Management:

  4. Cross-Functional Communication & Stakeholder Management:

  5. On-Site Construction Oversight & Quality Assurance:

Qualifications

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nTravel: 50% , Travel required to various data center sites.\n\n\nWhat You’ll Do\n\nAs a Data Center Implementation Manager, you will lead the end-to-end execution of multiple concurrent data center infrastructure projects, spanning Greenfield builds, colocation white space fit-outs, equipment upgrades, and lifecycle replacements. You’ll serve as the single point of contact for all construction activities on your assigned projects, coordinating closely with data center providers, MEP contractors, and internal stakeholders.\n\nYour role includes overseeing construction schedules and budgets, managing OFCI equipment procurement and installation, conducting design reviews, and driving alignment across cross-functional teams including electrical, mechanical, low voltage, and network engineering. You’ll also contribute to continuous improvement initiatives, integrating emerging technologies and design innovations into our infrastructure strategy.\n\n\nKey Responsibilities\n\n - Project Leadership & Oversight:\n \n - Manage the build out of multiple data center projects concurrently, from detailed design to physical build out, including Greenfield construction projects, colocation white space fitouts, equipment upgrades, and end-of-life replacements. Oversee the work of MEP Contractors and Equipment Suppliers during the build out process.\n\n - Internal Coordination with SMEs:\n \n - Coordinate with internal Subject Matter Experts (SMEs) across various disciplines, including electrical, mechanical, and low voltage, to ensure project requirements, technical specifications, and solutions are properly aligned.\n\n - Budget & Schedule Coordination:\n \n - Work with our Data Center Providers and Contractors to prepare, review, and monitor project schedules, budgets, and forecasts for design and construction expenditures.\n\n - OFCI Equipment Management:\n \n - Review and evaluate OFCI (Owner-Furnished, Contractor-Installed) equipment submittals, providing recommendations to the Construction Management team and Procurement teams.\n\n - Design Reviews:\n \n - Participate in page-turn meetings with consultants, providing feedback on designs, Sequence of Operations, Basis of Design documents, and commissioning plans.\n\n - Vendor Management:\n \n - Assist with RFPs for OFCI Equipment and Data Center Whitespace Fit Outs, evaluation of proposals, selection of vendors, and oversight on alignment with project budgets and schedules.\n\n - Project Reporting:\n \n - Prepare and deliver detailed project reports to both executive leadership and project teams, track project budgets, schedules, scope objectives, and progress.\n\n - Stakeholder Communication:\n \n - Provide regular project updates to internal and external stakeholders, both informally and formally.\n\n - Design Coordination & Site Visits:\n \n - Conduct site visits during construction to review design implementation, assess construction progress, and ensure adherence to design specifications, quality standards, and project requirements.\n\n - Cross-functional Collaboration:\n \n - Collaborate closely with cross-functional teams, including Network Engineering, Data Center Operations, HPC, Supply Chain and Technical Project Management to ensure alignment with business objectives and project deliverables. Serve as a liaison between internal teams and external contractors or vendors, ensuring clear and effective communication.\n\n - Transformation & Design Improvements:\n \n - Contribute to internal design team meetings, proposing and exploring new technologies or design concepts to enhance project outcomes. Stay up to date with industry trends and integrate innovative solutions into project designs.\n\nIdeal Candidate Profile\n\n - Proven experience managing data center construction projects, including Greenfield builds, colocation fit-outs, and infrastructure upgrades.\n\n - Strong understanding of MEP systems and construction practices, with hands-on experience coordinating with electrical, mechanical, and low voltage SMEs.\n\n - Skilled in managing OFCI equipment procurement, submittal review, and installation oversight.\n\n - Effective communicator with the ability to serve as the single point of contact for construction activities and maintain alignment across internal and external stakeholders.\n\n - Proficient in tracking and managing project schedules, budgets, and forecasts in collaboration with contractors and data center providers.\n\n - Experienced in participating in design reviews and commissioning processes, with the ability to provide meaningful technical feedback.\n\n - Comfortable conducting on-site inspections to verify construction quality, design adherence, and progress.\n\n - Familiar with vendor RFP processes, proposal evaluation, and managing vendor performance to budget and timeline expectations.\n\n - Highly organized, with a strong ability to prepare detailed project reports and communicate updates to both executive leadership and project teams.\n\n - Collaborative team player with cross-functional experience working alongside Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM organizations.\n\n - Passionate about continuous improvement and staying current with industry trends, technologies, and best practices in data center design and delivery.\n\nTop Five Requirements\n\n 1. End-to-End Data Center Construction Experience:\n \n - Proven track record managing full lifecycle data center projects, colocation fit-outs, and infrastructure upgrades.\n\n 2. Strong MEP & OFCI Coordination Skills:\n \n - Deep understanding of mechanical, electrical, and low voltage systems, with experience reviewing OFCI submittals and coordinating with design and construction teams.\n\n 3. Project Budget & Schedule Management:\n \n - Demonstrated ability to manage construction budgets, track project schedules, and work with vendors and providers to meet critical deadlines and cost targets.\n\n 4. Cross-Functional Communication & Stakeholder Management:\n \n - Excellent interpersonal skills, capable of serving as the single point of contact for construction and aligning internal stakeholders, external contractors, and data center providers.\n\n 5. On-Site Construction Oversight & Quality Assurance:\n \n - Ability to perform regular site visits to monitor construction progress, validate design implementation, and ensure adherence to project specifications and quality standards.\n\nQualifications\n\n - Bachelor’s degree in Engineering, Construction Management, or a related field (or equivalent practical experience).\n\n - 10+ years of experience managing data center construction or critical infrastructure projects.\n\n - Strong knowledge of MEP systems, including coordination with electrical, mechanical, and low voltage trades.\n\n - Proficient in reviewing technical design documents, including Basis of Design, Sequence of Operations, and commissioning plans.\n\n - Demonstrated experience managing OFCI equipment procurement, submittals, and installation processes.\n\n - Strong documentation and writing skills, with the ability to create clear, concise project documents, decision-making documents, and instructional materials.\n\n - Proven ability to work in a fast-paced environment and manage multiple priorities effectively.\n\n - Strong analytical skills, with the ability to make data-driven decisions and solve complex problems.\n\n - Skilled in construction schedule and budget management, including forecasting, tracking, and reporting.\n\n - Familiarity with project management tools (e.g., MS Project, Primavera, Smartsheet) and construction tracking/reporting platforms.\n\n - Excellent communication and interpersonal skills, with the ability to collaborate across teams and effectively engage with stakeholders.\n\n - Passion for continuous improvement, with a proactive mindset for integrating new technologies and design innovations.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"50148338-7b5c-4d70-b559-39439772f36b","title":"Data Center Construction Site Foreman (Dallas)","department":"Data Center Business","team":"Data Center Design & Fit Out","employmentType":"FullTime","location":"Remote, USA","secondaryLocations":[{"location":"Dallas, TX - Data Center","address":{"postalAddress":{"postalCode":"75024","addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}}}],"publishedAt":"2026-09-04T19:20:58.654+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/50148338-7b5c-4d70-b559-39439772f36b","applyUrl":"https://jobs.ashbyhq.com/lambda/50148338-7b5c-4d70-b559-39439772f36b/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Travel: 75% , Sustained on-site presence required at active data center construction and fit-out sites.


What You’ll Do

As a Construction Onsite Foreman, you are Lambda’s eyes, ears, and hands in the field. You will hold daily on-site command of colocation white space fit-outs, high-density compute expansions, and infrastructure upgrades, working under the Data Center Implementation Manager and alongside the Data Center Implementation Project Manager to turn drawings and schedules into installed, energized, and accepted capacity.

You will direct and coordinate trade crews and vendor teams on the floor, sequence work across electrical, mechanical, low voltage, and network scopes, enforce safety and quality standards, and keep material and equipment flowing to the point of install. You will catch field conflicts before they become schedule impacts, escalate what cannot be solved at the site level, and own the daily record of what actually happened on your job.

Key Responsibilities

Ideal Candidate Profile

Top Five Requirements

  1. Hands-On Data Center or Mission-Critical Field Experience:

  2. Crew & Trade Supervision:

  3. MEP & Low Voltage Installation Knowledge:

  4. Safety Ownership:

  5. Field Documentation & Reporting Discipline:

Qualifications

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nTravel: 75% , Sustained on-site presence required at active data center construction and fit-out sites.\n\n\nWhat You’ll Do\n\nAs a Construction Onsite Foreman, you are Lambda’s eyes, ears, and hands in the field. You will hold daily on-site command of colocation white space fit-outs, high-density compute expansions, and infrastructure upgrades, working under the Data Center Implementation Manager and alongside the Data Center Implementation Project Manager to turn drawings and schedules into installed, energized, and accepted capacity.\n\nYou will direct and coordinate trade crews and vendor teams on the floor, sequence work across electrical, mechanical, low voltage, and network scopes, enforce safety and quality standards, and keep material and equipment flowing to the point of install. You will catch field conflicts before they become schedule impacts, escalate what cannot be solved at the site level, and own the daily record of what actually happened on your job.\n\nKey Responsibilities\n\n - Daily Field Supervision:\n \n - Serve as Lambda’s on-site lead for assigned data center projects. Direct daily activity across MEP contractors, low voltage and network installers, rack and integration crews, and OEM field service teams. Run daily huddles, set the day’s priorities, and confirm each crew knows its scope, sequence, and constraints.\n\n - Fit-Out & Installation Oversight:\n \n - Oversee physical execution of white space fit-out work including rack and cabinet setting, containment, busway and branch circuit distribution, rPDU installation, cable tray, structured cabling, liquid cooling and CDU tie-ins, and airflow management. Verify installations match approved drawings and Lambda standards before work is covered or energized.\n\n - Safety Leadership:\n \n - Enforce site safety requirements, energized work permits, LOTO procedures, hot work permits, and PPE compliance. Conduct daily safety walks, stop unsafe work immediately, and lead incident and near-miss reporting with the data center provider and general contractor.\n\n - Quality Control & Inspections:\n \n - Perform in-progress and pre-cover inspections, torque and terminations checks, labeling verification, and workmanship reviews. Build and drive punch lists to closure, rejecting non-conforming work and confirming corrections in the field.\n\n - Trade & Vendor Coordination:\n \n - Deconflict overlapping trade work, sequence access to shared space and shafts, and coordinate outage and switching windows with the data center provider. Escort and manage vendor access, badging, tool and material handling, and site rules compliance.\n\n - OFCI Material Management:\n \n - Receive, inspect, stage, and secure OFCI (Owner-Furnished, Contractor-Installed) equipment. Verify shipments against packing lists and submittals, document damage and shortages immediately, manage laydown and storage areas, and confirm material readiness ahead of each install window.\n\n - Schedule Support & Lookaheads:\n \n - Own the three-week lookahead in the field. Track daily progress against the construction schedule, flag manpower and material gaps early, and provide the Implementation Project Manager with accurate percent-complete and constraint data.\n\n - Field Documentation & Reporting:\n \n - Produce daily field reports covering manpower counts, work completed, deliveries, delays, safety observations, and photo documentation. Maintain redline markups, RFI and field observation logs, and as-built notes for turnover.\n\n - Issue Resolution & Escalation:\n \n - Resolve constructability conflicts and field questions at the site level where possible. Generate clear RFIs with photos and drawing references when a design or scope decision is needed, and escalate cost, schedule, or safety impacts without delay.\n\n - Commissioning & Turnover Support:\n \n - Support pre-functional checks, Level 1 through Level 4 commissioning activities, and integrated systems testing. Coordinate contractor availability for scripts, witness testing where directed, and drive open-item closure through final acceptance and handoff to Data Center Operations.\n\n - Cross-functional Alignment:\n \n - Work closely with Network Engineering, Data Center Operations, HPC, Supply Chain, and Technical Project Management so that deployment, cabling, and hardware install activities land in the right sequence and space is turned over ready for GPU deployment.\n\nIdeal Candidate Profile\n\n - Comes from the trades, with a working foreman’s command of how mission-critical space actually gets built, installed, and energized.\n\n - Experienced running crews and vendors in live and occupied data center environments where uptime and adjacency risk are unforgiving.\n\n - Fluent in reading and marking up construction drawings, single lines, riser diagrams, submittals, and installation details.\n\n - Sets a visible safety standard and is comfortable stopping work and holding contractors to it, including under schedule pressure.\n\n - Detail-driven on workmanship, labeling, torque, containment, and cable management, with a low tolerance for shortcuts that create operational debt.\n\n - Organized in the field with materials, tools, laydown, and deliveries, and disciplined about documenting what happened each day.\n\n - Direct and clear communicator who can brief a project manager, challenge a contractor, and write a usable daily report.\n\n - Comfortable working with limited oversight, making sound calls on site, and knowing precisely when to escalate.\n\n - Proficient with mobile field tools, photo documentation, and punch list and project tracking platforms.\n\n - Willing to travel to project sites and to work off-hours, nights, or weekends when critical activities or outage windows require it.\n\nTop Five Requirements\n\n 1. Hands-On Data Center or Mission-Critical Field Experience:\n \n - Proven record supervising construction, fit-out, or infrastructure installation work in data centers or comparable mission-critical facilities.\n\n 2. Crew & Trade Supervision:\n \n - Demonstrated ability to direct and sequence multiple trades and vendors on a live site, holding daily accountability for scope, pace, and workmanship.\n\n 3. MEP & Low Voltage Installation Knowledge:\n \n - Practical command of electrical distribution, mechanical and cooling systems, containment, and structured cabling, with the ability to read drawings and catch field conflicts.\n\n 4. Safety Ownership:\n \n - Consistent enforcement of site safety, LOTO, energized work, and permitting requirements, with the authority and willingness to stop unsafe work.\n\n 5. Field Documentation & Reporting Discipline:\n \n - Reliable daily reporting, photo documentation, redlines, punch list management, and clear escalation to project management.\n\nQualifications\n\n - High school diploma or equivalent required. Completed trade apprenticeship, journeyman license, technical certification, or associate degree in a construction or engineering discipline strongly preferred.\n\n - 5+ years of construction field experience, including 2+ years in a foreman, lead, or superintendent capacity.\n\n - Direct experience with data center white space fit-out, critical facility construction, or comparable industrial and mission-critical installation work.\n\n - Working knowledge of electrical, mechanical, and low voltage systems and installation practices, including power distribution, cooling, containment, and cabling.\n\n - Ability to read and interpret construction drawings, specifications, submittals, and installation instructions, and to produce accurate redlines.\n\n - OSHA 30 certification required or obtained within 90 days of hire. NFPA 70E familiarity preferred. First Aid and CPR certification a plus.\n\n - Familiarity with commissioning processes, pre-functional checklists, and punch list closeout.\n\n - Comfortable with field reporting tools and project platforms (e.g., Procore, Smartsheet, MS Project, Monday.com http://Monday.com) and with mobile photo documentation.\n\n - Able to lift, climb, work at height, and remain on foot in active construction environments for extended periods.\n\n - Willingness to travel to and work within active construction sites (~75%), including off-hours and weekend work during critical activities.\n\n - Committed to safety, quality, and continuous improvement in field execution practices.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"f0618d06-8659-4f87-b1f2-a6a3926b467f","title":"Construction Administrator","department":"Data Center Business","team":"Data Center Design & Fit Out","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-09-04T19:19:28.983+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f0618d06-8659-4f87-b1f2-a6a3926b467f","applyUrl":"https://jobs.ashbyhq.com/lambda/f0618d06-8659-4f87-b1f2-a6a3926b467f/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Travel: 15% , Primarily a back-office role with occasional travel to data center sites.


What You’ll Do

As a Construction Administrator, you will be the back-office backbone of Lambda’s data center build program. You will take in contractor schedules, submittals, drawings, RFIs, and change documentation across a portfolio of concurrent projects and turn them into a single clean, current, and trustworthy picture of where every project stands.

You will distill dense contractor schedules into the milestone views leadership actually uses, maintain rigorous document control across the full project lifecycle, and run the reporting cadence that keeps the DCIE team, our data center providers, and our contractors aligned. This role reports to the Data Center Implementation Manager and works daily with the Implementation Project Managers, field teams, procurement, and finance.

Key Responsibilities

Ideal Candidate Profile

Top Five Requirements

  1. Construction Scheduling Fluency:

  2. Document Control Discipline:

  3. Project Reporting & Data Skills:

  4. Tools Proficiency:

  5. Stakeholder Coordination & Follow-Through:

Qualifications

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\nTravel: 15% , Primarily a back-office role with occasional travel to data center sites.\n\n\nWhat You’ll Do\n\nAs a Construction Administrator, you will be the back-office backbone of Lambda’s data center build program. You will take in contractor schedules, submittals, drawings, RFIs, and change documentation across a portfolio of concurrent projects and turn them into a single clean, current, and trustworthy picture of where every project stands.\n\nYou will distill dense contractor schedules into the milestone views leadership actually uses, maintain rigorous document control across the full project lifecycle, and run the reporting cadence that keeps the DCIE team, our data center providers, and our contractors aligned. This role reports to the Data Center Implementation Manager and works daily with the Implementation Project Managers, field teams, procurement, and finance.\n\nKey Responsibilities\n\n - Schedule Distillation & Analysis:\n \n - Ingest contractor and vendor schedules across multiple concurrent projects. Extract critical path, key milestones, long-lead deliveries, and float consumption, and roll them into consolidated program-level and executive-level schedule views. Flag slippage, sequencing conflicts, and milestone risk before they surface in the field.\n\n - Master Schedule Maintenance:\n \n - Maintain Lambda’s integrated program schedule and milestone tracker. Reconcile contractor updates against baseline, maintain revision history, and keep OFCI delivery dates, commissioning windows, and capacity ready-for-service dates aligned.\n\n - Document Control:\n \n - Own the project document control system end to end: drawing registers, specifications, submittal logs, RFI logs, transmittals, meeting minutes, permits, inspection records, and as-builts. Enforce naming conventions, revision control, and access permissions so every stakeholder is working from the current set.\n\n - Submittal & RFI Administration:\n \n - Log, route, and track submittals and RFIs to the correct internal reviewers. Monitor turnaround against contractual review windows, chase overdue responses, and maintain a clean audit trail of decisions and approvals.\n\n - Change & Cost Documentation:\n \n - Track change orders, change directives, and potential change items from initiation through disposition. Maintain supporting documentation and reconcile the change log against budget trackers, purchase orders, and invoices in coordination with procurement and finance.\n\n - Reporting Cadence:\n \n - Produce the recurring reporting package: weekly project status reports, milestone dashboards, open-item and risk registers, and monthly program summaries for executive leadership. Ensure figures tie out across schedule, cost, and field reporting.\n\n - Meeting & Action Item Support:\n \n - Prepare agendas and materials for OAC, design review, and page-turn meetings. Capture minutes and decisions, publish action items with owners and due dates, and drive follow-through to closure.\n\n - Records, Turnover & Closeout:\n \n - Assemble and quality-check closeout packages including as-builts, O&M manuals, warranties, commissioning reports, and training records. Ensure complete and timely handoff to Data Center Operations and Facilities.\n\n - Systems & Process Ownership:\n \n - Administer and improve the project management and documentation platforms used by DCIE. Build templates, trackers, and automated reporting that reduce manual effort and standardize how projects are run.\n\n - Standards Library Management:\n \n - Maintain Lambda’s controlled library of Basis of Design documents, standard details, specifications, and internal procedures, keeping versions current and accessible across the team.\n\n - Cross-functional Support:\n \n - Support Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM with accurate schedule and documentation inputs so downstream deployment planning is built on current data.\n\nIdeal Candidate Profile\n\n - Experienced in construction administration, project controls, or document control on complex construction or critical infrastructure programs.\n\n - Able to read a contractor schedule critically rather than just repackage it, understanding logic ties, float, critical path, and where a schedule is telling an optimistic story.\n\n - Genuinely organized, with a strong instinct for version control, naming discipline, and single sources of truth.\n\n - Comfortable with construction drawings, specifications, submittals, and RFIs, and with the vocabulary of MEP and mission-critical work.\n\n - Strong with data and reporting tools, able to turn scattered inputs into a clean dashboard without a week of manual assembly.\n\n - Persistent and diplomatic in chasing overdue responses from contractors, vendors, and internal reviewers.\n\n - Clear written communicator who can summarize status for executives without losing the detail that matters.\n\n - Self-directed and dependable on a recurring reporting cadence across multiple projects at once.\n\n - Improvement-minded, always looking to templatize and automate repetitive project administration.\n\n - Discreet and careful with confidential contract, cost, and vendor information.\n\nTop Five Requirements\n\n 1. Construction Scheduling Fluency:\n \n - Demonstrated ability to interpret, analyze, and distill contractor schedules into milestone and executive-level views, including critical path and float analysis.\n\n 2. Document Control Discipline:\n \n - Proven ownership of drawing registers, submittal and RFI logs, revision control, transmittals, and as-built and closeout documentation.\n\n 3. Project Reporting & Data Skills:\n \n - Ability to build and maintain accurate recurring status reports, dashboards, and trackers across multiple concurrent projects.\n\n 4. Tools Proficiency:\n \n - Hands-on experience with project management and documentation platforms such as Primavera P6, MS Project, Procore, Smartsheet, and advanced spreadsheet work.\n\n 5. Stakeholder Coordination & Follow-Through:\n \n - Track record of driving action items, review turnarounds, and documentation compliance across internal teams, contractors, and providers.\n\nQualifications\n\n - Bachelor’s degree in Construction Management, Engineering, Business, or a related field (or equivalent practical experience).\n\n - 4+ years of experience in construction administration, project controls, document control, or project coordination, ideally on data center or mission-critical projects.\n\n - Working knowledge of construction schedules, including critical path method, milestones, float, and lookahead planning.\n\n - Familiarity with construction documentation workflows: drawings, specifications, submittals, RFIs, change orders, and closeout packages.\n\n - Proficiency with Primavera P6 or MS Project, plus documentation and collaboration platforms (e.g., Procore, Smartsheet, SharePoint, Google Workspace, Jira, Monday.com http://Monday.com).\n\n - Advanced spreadsheet skills, with the ability to build clean trackers, pivots, and reporting views. Experience with dashboarding or light automation is a plus.\n\n - Strong written communication and documentation skills, with attention to accuracy and consistency.\n\n - Highly organized, able to manage competing deadlines across multiple concurrent projects with minimal supervision.\n\n - Basic understanding of MEP systems and construction sequencing sufficient to interpret technical documents and ask the right questions.\n\n - Willingness to travel occasionally to data center sites (~15%) for turnover, closeout, or program milestones.\n\n - Committed to continuous improvement in project delivery, documentation standards, and reporting practices.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"5a093b1b-11da-4f6d-8c04-89e6b02c5ddd","title":"Data Center Operations Systems Engineer (San Jose)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"San Jose Office (Zanker)","secondaryLocations":[],"publishedAt":"2026-09-01T18:26:47.353+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/5a093b1b-11da-4f6d-8c04-89e6b02c5ddd","applyUrl":"https://jobs.ashbyhq.com/lambda/5a093b1b-11da-4f6d-8c04-89e6b02c5ddd/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Jose Data Centers 5 days; shift work


What You'll Do

You

Nice to Have

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our San Jose Data Centers 5 days; shift work\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced systems\n\n - Document data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Are Fluent in English and Spanish\n\n - Are someone who pays attention to detail and has the ability to follow instructions\n\n - Are action-oriented and have a strong willingness to learn\n\n - Are willing to travel for bring up of new data center locations\n\nNice to Have\n\n - Experience with troubleshooting server hardware\n\n - Experience with/or knowledge of network topology\n\n - Familiarity with ticketing systems like JIRA and Zendesk\n\n - Experience with Linux administration\n\n - Experience with working in large-scale distributed data center environments\n\n - Experience with Supermicro & Nvidia hardware\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"7cee8c43-1319-457d-9850-484d6b3977ab","title":"Data Center Operations Systems Engineer (Atlanta)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Atlanta, GA - Data Center","secondaryLocations":[],"publishedAt":"2026-08-28T18:16:25.603+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"30310","addressRegion":"Georgia","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7cee8c43-1319-457d-9850-484d6b3977ab","applyUrl":"https://jobs.ashbyhq.com/lambda/7cee8c43-1319-457d-9850-484d6b3977ab/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Atlanta, GA Data Centers 5 days; shift work


What You'll Do

You

Nice to Have

Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Atlanta, GA Data Centers 5 days; shift work\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced systems\n\n - Document data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Are someone who pays attention to detail and has the ability to follow instructions\n\n - Are action-oriented and have a strong willingness to learn\n\n - Are willing to travel for bring up of new data center locations\n\nNice to Have\n\n - Experience with troubleshooting server hardware\n\n - Experience with/or knowledge of network topology\n\n - Familiarity with ticketing systems like JIRA and Zendesk\n\n - Experience with Linux administration\n\n - Experience with working in large-scale distributed data center environments\n\n - Experience with Supermicro & Nvidia hardware\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"e185b479-ab70-41fe-91c4-eff456a14da8","title":"Site Lead - India (Bangalore, India)","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"Bangalore, India","secondaryLocations":[],"publishedAt":"2026-08-28T23:06:36.185+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"India"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e185b479-ab70-41fe-91c4-eff456a14da8","applyUrl":"https://jobs.ashbyhq.com/lambda/e185b479-ab70-41fe-91c4-eff456a14da8/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position is based in our Bengaluru office. As the founding site leader, you will set the on-site standard for the team you build. Regular overlap with US Pacific business hours is required.

 

Business Technology & IT at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope spans enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.

We are hiring a Senior leader to establish and lead our Bengaluru site. This is the founding leadership hire for Lambda's India capability center. You will own Corporate IT delivery for the site end to end, provide dotted-line leadership across Bengaluru-based business systems specialists, and carry a phased general manager mandate: start as the site's senior technology leader, and grow into running the center as it scales.

This is a player-coach role. You will set direction and operating discipline while staying close to the work: resolving critical issues, shaping delivery decisions, and making sure every employee at the site has a secure, productive technology experience from day one. Year one is hands-on. You will be hiring your own team while personally covering the gaps.


What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position is based in our Bengaluru office. As the founding site leader, you will set the on-site standard for the team you build. Regular overlap with US Pacific business hours is required.\n\n \n\nBusiness Technology & IT at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope spans enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.\n\nWe are hiring a Senior leader to establish and lead our Bengaluru site. This is the founding leadership hire for Lambda's India capability center. You will own Corporate IT delivery for the site end to end, provide dotted-line leadership across Bengaluru-based business systems specialists, and carry a phased general manager mandate: start as the site's senior technology leader, and grow into running the center as it scales.\n\nThis is a player-coach role. You will set direction and operating discipline while staying close to the work: resolving critical issues, shaping delivery decisions, and making sure every employee at the site has a secure, productive technology experience from day one. Year one is hands-on. You will be hiring your own team while personally covering the gaps.\n\n\nWhat You'll Do\n\n - Site Leadership: Serve as the senior technology leader and de facto general manager for the Bengaluru site. Represent the site to global leadership, anticipate growth needs, and translate local realities into decisions the company can act on.\n\n - Corporate IT: Support employee technology experience end to end: onboarding, endpoints, identity and access, office network and AV, collaboration tools, support, asset lifecycle, and offboarding.\n\n - Site Buildout: Stand up the office technology foundation from zero: connectivity, conferencing, device provisioning, and local vendor relationships, all aligned to Lambda's global standards.\n\n - Team Building: Design the Bengaluru staffing plan with global pillar leads, then hire, onboard, coach, and retain high-caliber talent across IT Operations, Finance Systems, and GTM Systems as the site scales.\n\n - Matrix Leadership: Provide dotted-line leadership for Bengaluru-based Financial Systems Analysts, Salesforce Developers, and other business technology specialists. Functional priorities and career ownership stay with their global leaders; you create local cohesion, remove blockers, and raise execution quality.\n\n - Incident and Service Management: Lead from the front during high-severity incidents. Establish service management discipline: clear ownership, intake and escalation paths, measurable service levels, change controls, and continuous improvement.\n\n - Security and Controls: Partner with global Security and our SOX program on identity, endpoint, access, and change controls.\n\n - Global Partnership: Work closely with Security, People, Workplace, Finance, Legal, and Procurement to deliver global standards with strong local execution.\n\n - Operating Cadence: Build the site's operating rhythm: local priorities, status reporting into the global Business Technology cadence, and a handoff model that turns the time zone difference into a follow-the-sun advantage.\n\nYou\n\n - Experience: 12+ years in Corporate IT, enterprise technology, or IT operations, including 5+ years leading teams in India for a global company. You have built or significantly scaled a site, capability center, or country technology operation.\n\n - Player-Coach: You still do the work. You can run a hiring plan and a vendor negotiation in the morning and personally debug an identity or network issue in the afternoon.\n\n - Hands-On Depth: Strong judgment across identity and access, endpoint management, SaaS administration, networking, AV, asset lifecycle, and incident management.\n\n - Matrix Credibility: You have led specialists who report to managers in other countries and time zones, and you know how to create local cohesion without displacing global accountability.\n\n - Security and Compliance Fluency: You understand security fundamentals and have operated in an audit-facing or SOX environment. You know why access controls, change management, and evidence matter.\n\n - Talent Builder: A record of hiring and developing strong teams in Bengaluru, including workforce planning, coaching, performance input, and succession.\n\n - Communication: Executive-level clarity across cultures, functions, and time zones. You compress messy operational reality into updates leadership can act on.\n\n - Judgment in Ambiguity: Calm ownership when things break, and clarity when there is no playbook. You will be the senior-most Lambda leader on the ground.\n\nNice to Have\n\n - Experience establishing a new GCC or capability center: entity setup, facilities buildout, or working with GCC enablement partners.\n\n - Direct experience with our stack: Okta, Lumos, Google Workspace, Jamf or comparable MDM, NetSuite, Salesforce, Coupa, Workday, BigQuery.\n\n - Pre-IPO or IPO readiness exposure, including SOX ITGC.\n\n - Experience hiring finance systems, Salesforce, or data talent in the Bengaluru market.\n\n - Practical use of AI tooling to automate IT operations, support, and reporting.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."},{"id":"19d912c0-3119-45b0-96bf-df2cbeeb57b8","title":"Senior Director, Product Management - Foundations","department":"Data Center Business","team":"Product Engineering","employmentType":"FullTime","location":"Bellevue Office","secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-09T17:23:00.141+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"98004","addressRegion":"Washington","streetAddress":"500 108th Ave NE, Suite 800 ","addressCountry":"United States","addressLocality":"Bellevue"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/19d912c0-3119-45b0-96bf-df2cbeeb57b8","applyUrl":"https://jobs.ashbyhq.com/lambda/19d912c0-3119-45b0-96bf-df2cbeeb57b8/application","descriptionHtml":"

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

 

About the Role

You own product management for compute, storage, and networking at Lambda, which is the core of what Lambda sells. Engineering owns the systems, and you own the product definition, prioritization, pricing, packaging, and mechanisms that turn those systems into products customers buy, trust, and plan against. It is one of the most critical roles at Lambda.

Compute, storage, and networking each ship as separate AI Cloud primitives. However, we view it as important to have a single leader that can bring them together in a seamless experience for training runs and/or inference that touch all three services at once.

Hardware is what makes those decisions durable. GPU platform generations turn over quickly, each one changes power, cooling, density, and what a customer can train, and customers commit to platforms on multi-year contracts before those platforms arrive, so the decisions you make now set what Lambda can sell for years.

Lambda works closely with NVIDIA as a partner and investor, and this role leads the product integration of that partnership or makes sure someone on the team does. You will partner with their development efforts, bringing Lambda's operating experience and customer requirements to the technologies they are building and helping test them at scale, and you will make sure Lambda adopts that technology in the right places, with the right customer commitments, and with the product definition needed for the company to sell and support it.

This is a player and coach role. You will hire, level, and develop product managers who can take genuinely ambiguous problems and turn them into definition the rest of the company plans against, you will set the standard for how product work is written and reviewed here, and you will build the bench that grows into the next generation of product leaders at Lambda. You will also stay close enough to the work to drive the unified experience across compute, storage, and networking yourself.

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn't mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn't matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep compute, networking, storage, or hardware platform experience at a cloud computing platform is highly desired.

If you want a role where you can change the shape of how AI is done in the cloud and build a team that turns hardware into products customers can bet their work on, we would like to hear from you.

 

What You'll Do

You

Nice to Have

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\n\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n \n\nAbout the Role\n\nYou own product management for compute, storage, and networking at Lambda, which is the core of what Lambda sells. Engineering owns the systems, and you own the product definition, prioritization, pricing, packaging, and mechanisms that turn those systems into products customers buy, trust, and plan against. It is one of the most critical roles at Lambda.\n\nCompute, storage, and networking each ship as separate AI Cloud primitives. However, we view it as important to have a single leader that can bring them together in a seamless experience for training runs and/or inference that touch all three services at once.\n\nHardware is what makes those decisions durable. GPU platform generations turn over quickly, each one changes power, cooling, density, and what a customer can train, and customers commit to platforms on multi-year contracts before those platforms arrive, so the decisions you make now set what Lambda can sell for years.\n\nLambda works closely with NVIDIA as a partner and investor, and this role leads the product integration of that partnership or makes sure someone on the team does. You will partner with their development efforts, bringing Lambda's operating experience and customer requirements to the technologies they are building and helping test them at scale, and you will make sure Lambda adopts that technology in the right places, with the right customer commitments, and with the product definition needed for the company to sell and support it.\n\nThis is a player and coach role. You will hire, level, and develop product managers who can take genuinely ambiguous problems and turn them into definition the rest of the company plans against, you will set the standard for how product work is written and reviewed here, and you will build the bench that grows into the next generation of product leaders at Lambda. You will also stay close enough to the work to drive the unified experience across compute, storage, and networking yourself.\n\nGreat product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn't mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn't matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep compute, networking, storage, or hardware platform experience at a cloud computing platform is highly desired.\n\nIf you want a role where you can change the shape of how AI is done in the cloud and build a team that turns hardware into products customers can bet their work on, we would like to hear from you.\n\n \n\nWhat You'll Do\n\n - Own the Product Definition: Define compute, storage, and networking products for Lambda, including the customer promise, product boundaries, launch criteria, pricing, and packaging.\n\n - Set the Roadmap: Build and maintain the roadmap for the products that sit underneath On-Demand GPU Instances and 1-Click Clusters, and make the tradeoffs clear enough that engineering, sales, finance, and support can plan against them.\n\n - Connect the Domains: Hold compute, storage, and networking together as one customer experience, so product decisions reflect how distributed training and inference workloads actually run.\n\n - Lead Pricing and Packaging: Own pricing and packaging decisions for compute, storage, and networking, including how customers buy capacity, compare options, and make multi-year commitments.\n\n - Drive Hardware Productization: Turn new GPU platform generations into products Lambda can sell and support, including capacity definition, customer requirements, launch sequencing, and adoption plans.\n\n - Partner with NVIDIA: Lead product integration with NVIDIA or assign clear ownership on your team, partnering with their development efforts and testing and adopting new technologies in the right Lambda products.\n\n - Build Operating Mechanisms: Create the planning, review, launch, and feedback mechanisms that let Lambda make product decisions across engineering, sales, finance, support, and operations.\n\n - Develop Product Leaders: Hire, coach, and manage product managers who can work through ambiguous technical and commercial problems, write clear product definition, and move the company toward a shared outcome.\n\nYou\n\n - Have 10+ years of product management experience, including managing product managers.\n\n - Have built your career in cloud computing, and have worked directly on at least two of compute, networking, and storage, ideally all three, with enough knowledge of the third to make decisions in it.\n\n - Can reason about performance, durability, cost, and customer impact with engineering leaders across all three domains.\n\n - Have owned product strategy, roadmap, pricing, and packaging for infrastructure products, at a scope where your decisions set company direction.\n\n - Have worked on products where hardware constraints, supply timing, or platform transitions shaped the roadmap.\n\n - Have managed senior product managers and raised the quality of their written product definition, judgment, and execution.\n\n - Able to define iterative plans that move an organization from the current state towards the desired outcome\n\n - Can translate ambiguous customer, technical, and commercial inputs into product definition that multiple teams can execute.\n\n - Are comfortable making tradeoffs across engineering complexity, customer commitments, margin, and delivery timing.\n\n - Communicate plainly, write well, and make decisions easier for people who do not all share the same context.\n\nNice to Have\n\n - Experience with GPU cloud, AI infrastructure, distributed training, or large-scale inference products.\n\n - Experience with NVIDIA GPU platforms, InfiniBand networking, NVLink, or high-performance storage systems.\n\n - Experience building products for both self-serve developers and committed enterprise customers.\n\n - Experience working directly with strategic technology partners on product integration and adoption.\n\n - Experience with products that include usage-based pricing, reserved capacity, or multi-year customer commitments.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law."}],"apiVersion":"1"}