Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London.
Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement.
Build and maintain robust CI/CD pipelines for both software and ML workflows.
Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
Automate deployment, orchestration, and environment management using modern DevOps tooling.
Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
Document infrastructure, workflows, and operational procedures clearly and thoroughly.
Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.
Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
Ability to design scalable, secure, and observable systems in fast-moving environments.
Strong debugging and problem-solving skills across distributed systems.
Excellent collaboration and communication skills, with experience working in cross-functional teams.
Understanding of security and compliance best practices for both software and ML systems.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
Equity included–we believe builders should share in what they build.
Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We design robots in simulation before building them in hardware.
As a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning.
You will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies.
A key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks.
Design and evaluate new robot platforms using physics simulation
Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits
Use reinforcement learning to stress-test robot designs and explore capability limits
Own and maintain URDF models of current and future robot platforms
Maintain the CAD → URDF → simulation pipeline
Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness
Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout
Collaborate with mechanical, control, and perception teams to guide platform design decisions
M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field
Strong foundation in robot kinematics and dynamics
Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar)
Experience with reinforcement learning in robotics or physics-based simulation
Experience working with URDF or similar robot description formats
Strong programming skills in Python and/or C++
Experience training RL locomotion or manipulation policies
Nice to have:
Experience with legged, humanoid, or wheeled robots;
Experience with whole-body control or torque-controlled robots;
Experience with simulation-driven hardware design;
Experience building large-scale RL training pipelines.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with a 4% employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe design robots in simulation before building them in hardware.\n\nAs a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning.\n\nYou will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies.\n\nA key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design and evaluate new robot platforms using physics simulation\n\n - Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits\n\n - Use reinforcement learning to stress-test robot designs and explore capability limits\n\n - Own and maintain URDF models of current and future robot platforms\n\n - Maintain the CAD → URDF → simulation pipeline\n\n - Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness\n\n - Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout\n\n - Collaborate with mechanical, control, and perception teams to guide platform design decisions\n\n\nWHAT WE'RE LOOKING FOR\n\n - M.Sc http://M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field\n\n - Strong foundation in robot kinematics and dynamics\n\n - Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar)\n\n - Experience with reinforcement learning in robotics or physics-based simulation\n\n - Experience working with URDF or similar robot description formats\n\n - Strong programming skills in Python and/or C++\n\n - Experience training RL locomotion or manipulation policies\n\nNice to have:\n\n - Experience with legged, humanoid, or wheeled robots;\n\n - Experience with whole-body control or torque-controlled robots;\n\n - Experience with simulation-driven hardware design;\n\n - Experience building large-scale RL training pipelines.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with a 4% employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\n\n\nFor this role in Massachusetts, the target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"1927cb7f-3096-472f-9f35-455cad261264","title":"Software Control Teleoperation Engineer","department":"Engineering","team":"Controls","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-04-16T14:00:18.708+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/1927cb7f-3096-472f-9f35-455cad261264","applyUrl":"https://jobs.ashbyhq.com/humanoid/1927cb7f-3096-472f-9f35-455cad261264/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Teleoperation Control Engineer to help build the systems that let human operators safely, confidently, and precisely control advanced robots. This role sits at the intersection of robot control, real-time software, operator UX, hardware integration, and human-in-the-loop workflows.
You will develop the core teleoperation capability that enables operators to guide, recover, teach, and improve robot behavior in real time. That includes intuitive control mappings, reliable command pipelines, clear operator feedback, high-quality data capture, and safeguards for safe use around real hardware.
We are open to strong candidates from junior through staff level. The key traits are hands-on robotics ability, strong engineering judgment, care for software quality, and a product-minded instinct for making complex robot systems intuitive for operators.
Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks.
Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence.
Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack.
Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior.
Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture.
Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use.
Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely.
Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes.
Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures.
Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows.
Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior.
Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines.
Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware.
Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust.
A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure.
Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior.
Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities.
Clear communication and collaboration with cross-functional teams.
Nice to have:
Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems.
Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk.
Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows.
Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices.
A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use.
Competitive equity: stock options with meaningful upside as we scale.
30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
About The Role
As Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone.
This role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you.
What You'll Do
Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline.
Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization.
Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap.
Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped.
Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world.
Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land.
Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs.
Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis.
5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware.
Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline.
Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work.
Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL.
Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data.
Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX.
Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership.
Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation.
Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation.
Experience applying RL to robotics problems in simulation or on real robots.
Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks.
Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\nAbout The Role\n\nAs Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone.\n\nThis role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you.\n\nWhat You'll Do\n\n - Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline.\n\n - Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization.\n\n - Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap.\n\n - Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped.\n\n - Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world.\n\n - Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land.\n\n - Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs.\n\n - Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware.\n\n - Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline.\n\n - Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work.\n\n - Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL.\n\n - Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data.\n\n - Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX.\n\n - Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership.\n\n\nNICE TO HAVE\n\n - Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation.\n\n - Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation.\n\n - Experience applying RL to robotics problems in simulation or on real robots.\n\n - Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks.\n\n - Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling."},{"id":"5a4eed85-daa1-4fc4-a487-96c9e16fc64b","title":"Finance Operations Lead","department":"Finance","team":"Finance","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-16T08:35:33.606+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/5a4eed85-daa1-4fc4-a487-96c9e16fc64b","applyUrl":"https://jobs.ashbyhq.com/humanoid/5a4eed85-daa1-4fc4-a487-96c9e16fc64b/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
About The Role
As Finance Operations Lead, you’ll own the core finance workflows that keep Humanoid running smoothly, from supplier invoices and payments through customer billing, transaction coding and categorisation, reconciliations and the general ledger.
A key part of the role is ensuring financial activity is captured completely and accurately in the ledger. You’ll establish clear coding standards and processes, and make sure transactions are classified consistently and supported by reliable source data.
You’ll also help build a best-in-class finance technology stack for a fast-growing, global business. You’ll lead the implementation and optimisation of finance systems and tools, and identify ways to use AI and automation to make processes faster, more accurate and easier to use. This includes accounting and ERP platforms, Ramp, modern banking tools and AI-enabled workflows.
You’ll work closely with the Financial Controller and FP&A Lead, and partner with our dedicated Supply Chain and Procurement teams to ensure purchasing activity flows into finance accurately and efficiently. This is a hands-on role for someone who enjoys both delivering the work and transforming how it gets done.
What You’ll Do
Oversee accounts payable, including invoice processing, coding, categorisation, approvals, supplier queries, payment runs and reconciliation.
Manage accounts receivable, including customer billing, cash application, transaction coding and collections.
Ensure transactions are recorded completely, accurately and consistently in the ledger, with appropriate supporting documentation and coding.
Maintain and improve the chart of accounts, coding guidance and transaction categorisation across entities, currencies, departments and relevant business dimensions.
Review ledger postings and investigate miscoded, incomplete or unusual transactions, working with the relevant teams to resolve issues at source.
Coordinate with Supply Chain and Procurement on the finance elements of procure-to-pay, including approval controls, purchase order and invoice matching, and accurate recording of commitments and spend.
Coordinate vendor payments and cash operations across entities, currencies and banking platforms.
Manage key balance sheet reconciliations, journals, accruals and other month-end close activities.
Help ensure finance operations run reliably, with clear ownership, appropriate controls and minimal avoidable manual work.
Lead the implementation and optimisation of finance tools, including ERP and accounting software, expense and payment platforms, modern banking tools and workflow automation.
Help design an integrated finance technology stack that meets the needs of a scaling, multi-entity business, using tools such as Ramp and accounting platforms such as Xero or NetSuite.
Improve the flow of transaction data from source systems into the ledger, reducing duplicate handling, manual entry and coding errors.
Identify and deliver opportunities to automate repetitive finance work and improve the speed and accuracy of transaction processing.
Evaluate and apply AI-enabled tools, including Claude, to practical finance workflows such as information processing, analysis, documentation and process support.
Work with Supply Chain, Procurement, engineering and operations to improve the quality and consistency of financial data.
Establish appropriate controls, governance and documentation as new tools and automation are introduced.
Document finance processes and provide practical guidance so teams understand how to use them.
Provide accurate, timely finance data to support reporting on actuals, cash, burn, vendor spend and other operating costs.
Maintain clear visibility over cost centres, contracts, recurring expenses and supplier commitments.
Prepare documentation and data for audit, statutory filings and compliance reporting.
Maintain supporting reconciliations and schedules, and coordinate information requests with external auditors and advisers.
Support VAT, and indirect tax obligations globally.
Work with FP&A to reconcile actual results against budgets and forecasts and investigate material differences.
Be the first point of contact for day-to-day finance operations questions.
Help teams navigate invoicing, expenses, payment and accounting processes, including the information needed for accurate transaction coding.
Partner with Supply Chain and Procurement to establish effective handoffs between purchasing activity and finance.
Support cost control and spend governance through accurate, timely financial information.
Build strong working relationships across finance, procurement, engineering, supply chain, people and product.
We’re Looking For
7+ years’ experience in finance operations, accounts payable, accounting or financial control.
Strong practical knowledge of accounts payable and receivable, transaction coding, ledger management, reconciliations and month-end close.
Experience managing transactions from source documentation through coding, approval, payment or collection, and accurate ledger posting.
Experience working with or supporting procure-to-pay processes in partnership with procurement or supply chain teams.
Experience implementing or improving finance systems, workflows and automation in a growing business.
Interest in building a modern, well-integrated finance technology stack and applying AI and automation to real operational problems.
Confidence working with accounting or ERP systems, expense tools and online banking platforms.
Strong attention to detail and a clear sense of ownership over the accuracy and completeness of financial records.
A practical, service-oriented approach to helping teams follow finance processes.
The ability to work independently while collaborating across functions and seniority levels.
Bonus Points
Experience with Ramp, Xero, NetSuite or similar finance platforms.
Experience with modern banking platforms and multi-entity, multi-currency operations.
Experience using AI tools such as Claude or automation platforms in finance workflows.
Experience in a hardware, manufacturing, robotics or other product-led business.
Familiarity with UK, US, Germany or Canadian VAT and indirect tax obligations.
Background in audit, compliance or internal controls.
Experience in a venture-backed or globally distributed company.
What We Offer
Competitive salary plus participation in our Stock Option Plan
Paid vacation with adjustments based on your location to comply with local labor laws
Travel opportunities to our Vancouver and Boston offices
Office perks: free breakfasts, lunches, snacks, and regular team events
Freedom to influence the product and own key initiatives
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
Startup culture prioritising speed, transparency, and minimal bureaucracy
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Actuator Mechanical Design Engineer at Humanoid, you will own the design and development of robotic actuators to be integrated in robotic joints and dynamic mechanisms that enable humanoid mobility and manipulation.
This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems.
You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic actuators.
Your work will directly influence the performance, reliability, and scalability of our humanoid robots.
Size and design torque dense actuators for humanoid robots, being responsible for specification and integration of key components including motors, bearings, encoders, and drives
Select appropriate reduction methods and develop innovative strain wave and planetary gearbox designs
Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability
Select materials and manufacturing methods that balance performance, weight, cost, and scalability
Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication
Design components for high volume production, designing for processes like casting, injection moulding, and extrusion
Work closely with mechanical, electrical, controls, and software engineers to integrate actuators and sensors into robotic platforms
Conduct mechanical testing and validation to verify performance, durability, and system reliability
Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems
Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM)
Own mechanical subsystems from concept through prototyping, testing, and deployment.
7+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products
3+ years of professional experience designing planetary, cycloidal, or strain wave actuators
Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field
Strong fundamentals in mechanics, statics, dynamics, and material science
Proficiency with SolidWorks, NX, or similar CAD tools
Experience applying GD&T based on ASME Y14.5
Experience designing precision mechanical assemblies or mechanisms
Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding
Hands-on experience building, assembling, and testing mechanical prototypes
Strong analytical and problem-solving skills
Ability to work effectively in a fast-paced, multidisciplinary engineering environment.
Experience using KISSsoft or RoMax to develop gearboxes
Experience designing ball screw, lead screw, or roller screw actuators
Experience working on humanoid, legged, or mobile robots
Experience performing FEA or structural simulations
Experience in the testing or thermal modelling of electric motors or gearboxes
Experience in robotics, aerospace, automotive, or advanced hardware startups
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $120,000 – $170,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data.
This is primarily a deep learning role, so we're looking for experience solving real-world problems with modern neural networks. Robotics experience isn't strictly required, but if you're coming from outside the field, be prepared to get up to speed on a new domain quickly.
Post-train policies via behavior cloning and RL; own the full loop from data to deployment.
Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage.
Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.
Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.
Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.
3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.
Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
Familiarity with modern software engineering practices.
You document experiments clearly and communicate trade‑offs crisply.
Robotics or autonomous driving experience.
Experience applying RL to LLMs or robotics.
Experience with VLA (vision-language-action) models.
Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).
Publications at top-tier deep learning conferences or equivalent open‑source contributions.
Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $180,000–$300,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data.\n\nThis is primarily a deep learning role, so we're looking for experience solving real-world problems with modern neural networks. Robotics experience isn't strictly required, but if you're coming from outside the field, be prepared to get up to speed on a new domain quickly.\n\n \n\n\nWHAT YOU'LL DO\n\n - Post-train policies via behavior cloning and RL; own the full loop from data to deployment.\n\n - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage.\n\n - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.\n\n - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.\n\n - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.\n\n - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.\n\n - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.\n\n - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.\n\n - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.\n\n - Familiarity with modern software engineering practices.\n\n - You document experiments clearly and communicate trade‑offs crisply.\n\n\nNICE TO HAVE\n\n - Robotics or autonomous driving experience.\n\n - Experience applying RL to LLMs or robotics.\n\n - Experience with VLA (vision-language-action) models.\n\n - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).\n\n - Publications at top-tier deep learning conferences or equivalent open‑source contributions.\n\n - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks.\n \n \n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\n\n\nFor this role in California, the expected base salary range is $180,000–$300,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"9d651986-7254-4d63-8c63-9818aae5a48c","title":"Senior Mechanical Design Engineer","department":"Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"US, Boston, MA","secondaryLocations":[],"publishedAt":"2026-04-17T16:30:54.416+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"1 Broadway","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/9d651986-7254-4d63-8c63-9818aae5a48c","applyUrl":"https://jobs.ashbyhq.com/humanoid/9d651986-7254-4d63-8c63-9818aae5a48c/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design.
Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components.
Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets.
Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings.
CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies.
Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards.
Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures.
Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements.
Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.
BSME with 5+ years of relevant experience
Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields.
Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX.
Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018).
Experience transitioning designs from early concepts (NPI, EVT, DVT) to production.
Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures.
Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs.
Creative and collaborative thinking with a team-first mentality.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with a 4% employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design.\n\n\n\n\nWHAT YOU’LL DO\n\n - Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components.\n\n - Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets.\n\n - Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings.\n\n - CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies.\n\n - Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards.\n\n - Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures.\n\n - Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements.\n\n - Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - BSME with 5+ years of relevant experience\n\n - Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields.\n\n - Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX.\n\n - Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018).\n\n - Experience transitioning designs from early concepts (NPI, EVT, DVT) to production.\n\n - Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures.\n\n - Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs.\n\n - Creative and collaborative thinking with a team-first mentality.\n \n \n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with a 4% employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.\n\n"},{"id":"be9a09e4-768e-474a-a0d9-391b327b0ccf","title":"Deep Learning Engineer - World Models","department":"Engineering","team":"VLA Core Technology","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-07-16T11:02:26.461+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/be9a09e4-768e-474a-a0d9-391b327b0ccf","applyUrl":"https://jobs.ashbyhq.com/humanoid/be9a09e4-768e-474a-a0d9-391b327b0ccf/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments.
Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures.
Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies.
Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning.
Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance.
Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality.
Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models.
Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply.
Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops.
A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it.
Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction.
Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities.
Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code.
Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly.
Excitement about grounding generative models in physical reality rather than pixels alone.
Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL).
Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations.
Experience using world models for policy evaluation or synthetic data generation at scale.
Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions.
Experience optimizing generative models for fast inference.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact.
Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems.
Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems.
PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics.
Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance.
Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation.
Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges.
Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance.
Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems.
Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies.
Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout.
Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs.
Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers.
Experience with Python, C++, LabView, or MATLAB for automation and testing.
Knowledge of SolidWorks or similar mechanical CAD tools.
Familiarity with Verilog or VHDL for hardware design and simulation.
Experience in building Linux kernels and modifying or writing device drivers.
Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you!
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with a 4% employer match.
Meaningful equity with upside as we scale
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems.\n\n - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems.\n\n - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics.\n\n - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance.\n\n - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation.\n\n - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges.\n\n - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems.\n\n - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies.\n\n - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout.\n\n - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs.\n\n - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers.\n\n - Experience with Python, C++, LabView, or MATLAB for automation and testing.\n\n - Knowledge of SolidWorks or similar mechanical CAD tools.\n\n - Familiarity with Verilog or VHDL for hardware design and simulation.\n\n - Experience in building Linux kernels and modifying or writing device drivers.\n\nPlease note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you!\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with a 4% employer match.\n\n - Meaningful equity with upside as we scale\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"0e32672b-86f4-4514-92f0-3ef5f3a0ca6a","title":"VP of Delivery","department":"CEO Office","team":"CEO Office","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-09-04T09:17:22.766+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/0e32672b-86f4-4514-92f0-3ef5f3a0ca6a","applyUrl":"https://jobs.ashbyhq.com/humanoid/0e32672b-86f4-4514-92f0-3ef5f3a0ca6a/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a Head of Delivery to join our Executive team based in London. In this role you will lead operational execution across the company. This role will ensure that company goals, strategic initiatives, and project timelines are clearly defined, tracked, and delivered.
The Head of Delivery will act as the central operational owner of execution, maintaining visibility across all key projects and ensuring alignment between leadership, engineering, product, and operations.
The ideal candidate is a highly detail-oriented operator who thrives in complex technical environments and can bring structure, clarity, and accountability to fast-moving teams.
Own and maintain the company-wide execution framework, including roadmaps, delivery plans, timelines, and milestones.
Ensure all company initiatives and projects are tracked in a single operational system with clear ownership and deadlines.
Drive cross-functional alignment between engineering, product, and leadership teams.
Monitor project progress and proactively identify and resolve delivery risks and operational bottlenecks.
Provide operational oversight and guidance to project managers across teams.
Implement and continuously improve program management processes, reporting, and execution standards.
Maintain clear visibility of progress and risks for leadership.
Ensure strategic plans are translated into clear, actionable delivery plans.
Strong experience leading complex cross-functional programs or delivery functions.
Exceptional operational discipline and attention to detail.
Ability to structure and manage multiple projects simultaneously in a fast-moving environment.
Experience building operational systems, planning frameworks, and execution processes.
Strong communication and stakeholder management skills.
Ability to work closely with leadership and translate strategy into execution.
Comfortable operating in highly technical environments with engineering teams.
Experience working in robotics, AI, or hardware companies.
Background as a founder or co-founder, or early-stage operator in a startup environment.
Experience scaling delivery or program management functions in deep tech organizations.
Familiarity with complex hardware + software development cycles.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state, including calibration, tuning, characterization, and modeling across actuators, hand/gripper mechanisms, and integrated robotic assemblies.
You will work closely with mechanical design, firmware, controls, manufacturing, and system integration teams to diagnose unstable behavior, define the right parameters and models, and accelerate hardware maturity for upstream controller and software development.
Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands.
Build and maintain test fixtures and test rigs for dynamic and endurance testing.
Tune and calibrate sensors like encoder and control loops in the driver, including current, velocity, and position control, and verify stability conditions.
Develop subsystem characterization methods and identify key parameters such as torque constant profile, friction, inertia, backlash, stiffness, thermal behavior, and efficiency.
Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands.
Build and maintain test fixtures and test rigs for dynamic and endurance testing.
Develop automated test systems (hardware + software) to validate motor performance, force output, back drivability, and safety limits.
Conduct lifecycle, stress, thermal, and environmental tests on components and subsystems.
Analyze test results, create test reports, and drive design feedback loops with engineering teams.
Collaborate with design engineers to define testable requirements, tolerances, and performance metrics.
Support incoming QC, assembly-level verification, and field failure diagnostics.
Maintain test documentation, protocols, and results databases.
Work closely with control and firmware teams to evaluate actuator behavior in closed-loop scenarios.
Master’s or PhD degree in Mechanical, Mechatronics, Electrical Engineering, Robotics, or a related field.
5+ years of experience with robotic hardware, controls, actuator characterization, system commissioning.
Hands-on experience with motors, actuators, encoders, force/torque sensors, and hardware instrumentation.
Strong troubleshooting ability and comfort working through ambiguous or unstable hardware problems.
Experience with calibration, parameter identification, modeling, and mathematical optimization.
Proficient with tools such as Python (preferred), MATLAB, or C++ for data capture, analysis, and model fitting using OOP(Object Oriented Programming).
Comfortable with mechanical tools, instrumentation, and prototyping in lab environments.
Strong understanding of safety testing, failure modes (FMEA), and reliability analysis.
Excellent documentation, communication, and cross-functional collaboration skills.
Familiarity with data acquisition systems (DAQ) and tools such as LabVIEW, Python, or MATLAB.
Experience with strain-wave gear, planetary gear, or custom robotic actuators.
Experience with robotic hands, grippers, underactuated mechanisms, or tendon-driven systems.
Experience with and complete understanding of commercial BLDC drivers.
Familiarity with low-level control development, parameter identification, or dynamic modeling for electromechanical systems.
Knowledge of EtherCAT, EtherNET, or related motion control DS402.
Experience supporting integrated arm or leg bring-up on larger robotic platforms.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies.
Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world.
Construct challenging and diverse suites of manipulation tasks in simulation.
Partner with teleoperations to collect trajectories in simulation for behavior cloning.
Partner with testing and operations to establish real-world RL training pipelines.
Experiment with various ways of bringing policies trained in simulation to the real world.
3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
Experience solving real problems using reinforcement learning with deep neural networks in any domain.
Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply.
Experience with simulators for robotics (Isaac Sim, MuJoCo etc.)
Experience in RL for robotics.
Experience building infrastructure for large-scale RL (e.g. using ray).
Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions.
Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots.
You will design and train reinforcement learning policies that enable dynamic locomotion and loco-manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim-to-real transfer for reliable deployment on hardware.
You will work closely with controls and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real-world conditions.
Development will involve continuous iteration between large-scale simulation and hardware experiments.
The problems you will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning.
Design and train reinforcement learning policies for humanoid robot control.
Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo).
Design reward functions, observation spaces, and curricula for complex behaviors.
Improve robustness and sim-to-real transfer of learned policies.
Deploy and evaluate policies on real robotic systems.
Integrate policies into the control stack.
MS or PhD in Robotics, Machine Learning, Computer Science, or related field.
Strong experience with reinforcement learning (e.g., PPO, SAC, offline RL).
Experience applying RL to robotics or physical systems.
Experience deploying learned policies on real robotic systems.
Experience with physics-based simulation environments (e.g., Isaac Lab, MuJoCo).
Strong programming skills in Python and/or C++.
Experience with RL for locomotion or legged robots.
Experience with sim-to-real transfer.
Familiarity with robot dynamics, control, or whole-body control.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London.
In this role, you will work on teaching our robots to manipulate the world around them.
This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work).
Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment.
Come up with data preprocessing strategies to improve the quality of collected data.
Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world.
Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions.
Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators.
Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience.
Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs.
3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack.
Experience with neural network post-training.
Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code.
Good familiarity with modern software engineering practices.
Ability to document experiments clearly and communicate trade‑offs crisply.
Nice to have:
Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.
Experience applying RL to robotics problems.
Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration.
In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team!
Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world.
Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system.
Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains.
Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions.
Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots.
Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments.
Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.
5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go).
Experience developing time-sensitive, performance-critical applications.
Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC.
Experience with Linux build environments like Yocto or Buildroot.
Experience in building Linux kernels and modifying or writing device drivers.
Experience with NVIDIA’s Jetson platform is a plus.
Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus.
Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics.
Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams.
Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration.\n\nIn this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team!\n\n\n\n\nWHAT YOU’LL DO\n\n - Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world.\n\n - Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system.\n\n - Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains.\n\n - Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions.\n\n - Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots.\n\n - Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments.\n\n - Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go).\n\n - Experience developing time-sensitive, performance-critical applications.\n\n - Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC.\n\n - Experience with Linux build environments like Yocto or Buildroot.\n\n - Experience in building Linux kernels and modifying or writing device drivers.\n\n - Experience with NVIDIA’s Jetson platform is a plus.\n\n - Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus.\n\n - Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics.\n\n - Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams.\n\n - Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n \n \n\nFor this role in Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"dd47ff4b-d5db-4d55-a476-b8d48a93adf3","title":"Robotics Production Team Lead","department":"Operations","team":"Prototype Production","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-04-30T14:27:54.234+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/dd47ff4b-d5db-4d55-a476-b8d48a93adf3","applyUrl":"https://jobs.ashbyhq.com/humanoid/dd47ff4b-d5db-4d55-a476-b8d48a93adf3/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization
As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.
About the Role
As Robotics Production Team Lead, you’ll be responsible for leading a team of technicians in complex, high-velocity humanoid robotic builds. You’ll be accountable for the quality, pace, and consistency of your own output as well as that of your team, whilst clearly and concisely communicating risks and blockers to the senior leadership team. You’ll be expected to keep your team engaged and empowered, maintaining the balance between quality and speed. You’ll use your skills and expertise to facilitate the identification and resolution of electrical and mechanical build issues, partnering and engaging with subject matter experts from across the business. Furthermore, you’ll own the culture of your team, driving workshop standards and an unwavering pride in workmanship.
Leadership
Lead a team of technicians in robotics assembly, rework, and repair
Report on delivery, risks, and blockers to the department head
Own and drive team culture to ensure efficiency, safety, and quality
Lead by example as someone who embodies the values and ethics of the team they are leading.
Demonstrate and embed a continuous improvement culture within your team
Allocate and track the progress of build work orders
Unblock challenges encountered by your team, escalating blockers where necessary
Pro-actively identify delivery risks, and work with your team and the senior leadership team to address them
Hands-On Assembly & Integration
Build electro-mechanical assemblies according to CAD, drawings, and work instructions.
Perform precise mechanical assembly, harness routing, sensor installation, and connectorisation.
Support first-article builds, iterations, and rapid design changes.
Flag issues early and collaborate with engineering to implement fixes.
Support Validation, Debug & Test
Assist in functional testing of subassemblies and full robots.
Identify and resolve build or performance issues in real time.
Work closely with test and integration teams to ensure system readiness.
Be a High-Speed Collaborator
Communicate clearly with engineers, fellow technicians, and operations.
Adapt quickly to changing priorities—jump in wherever help is needed.
Contribute ideas to improve speed, reliability, and quality of builds.
Experienced in leading teams in electromechanical assembly or engineering product development
3+ years of experience in electromechanical assembly or hand-assembly of complex systems.
Proven ability to work with mechanical, electrical, and embedded systems
Strong attention to detail and a deep sense of build quality and safety.
Ability to read CAD, mechanical drawings, and wiring diagrams.
Hands-on experience with common tools, fixtures, soldering, harness assembly, etc.
You move fast, stay organized, and take pride in solving problems in real time.
Comfortable working in a fluid, high-urgency environment with evolving designs and short timelines.
Competitive salary plus participation in our Stock Option Plan
Paid vacation with adjustments based on your location to comply with local labor laws
Travel opportunities to our Boston and Vancouver offices
Office perks: free breakfasts and lunches
Freedom to influence the product and own key initiatives
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
Startup culture prioritising speed, transparency, and minimal bureaucracy.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence.
This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively.
Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture.
Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response.
Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior.
Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team.
Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes.
Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust.
Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why.
Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work.
Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline.
Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify.
In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures.
Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history.
System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line.
Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process.
Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering.
Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process.
Must-Have:
Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar.
Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions.
Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics.
Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity.
Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work.
Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar).
Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership.
Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level.
Nice-to-Have:
Robotics experience, especially with serial-link manipulators or legged systems.
Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements.
Python (or similar) for ad-hoc data analysis and lightweight test automation.
CAD (SolidWorks/Fusion/NX) for sketching test fixtures.
Familiarity with ROS2.
Experience with embedded systems and field buses such as CAN or EtherCAT.
Experience with industrial automation equipment (servos, gateways, sensors, PLCs).
Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation.
Actuators (motors, gearboxes, encoders, drivers)
Robot manipulators and end-effectors
Legged subsystems and balance behaviors
Power and battery systems
Full humanoid robot assemblies
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
Equity included–we believe builders should share in what they build.
Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Software Test Engineer to own the quality of the software products that live around our robots — the humanoid console, the inference servers infrastructure, and the backend services that connect everything together.
This is a software-first role. You will not need to bolt on a HIL bench or wire up sensors. You will be testing APIs, web UIs, distributed services, and the infrastructure that runs our models. You will work closely with backend engineers, frontend developers, and the ML platform team.
Console Testing: Own the quality of the humanoid operator console — front-end behavior, API contracts, edge cases, and the user-facing flows operators rely on.
Inference Infrastructure: Test the inference servers and model-serving stack — latency, throughput, failover, version rollouts.
Backend Services: Validate backend services and their APIs — auth, data pipelines, telemetry, fleet management — including contract testing and integration testing.
Test Automation: Design and implement automated test suites that run in CI/CD; expand coverage as the platform grows.
Quality Strategy: Define test methods, quality criteria, and metrics; participate in shaping the overall testing strategy for the software platform.
Documentation: Document tests in our test tracking system and keep internal documentation accurate.
Experience: 4+ years in software testing, with strong experience testing client-server systems (front-end, back-end, APIs).
Test Design: Strong grasp of testing theory and test design techniques — equivalence partitioning, boundary analysis, state-based testing, and similar.
Automation: Hands-on Python for test automation. Familiarity with an API testing framework (pytest + requests, or equivalent).
Linux: Comfortable operating in Linux environments and interacting with services over the terminal.
Version Control: Experience with Git.
CI/CD: Understanding of CI/CD pipelines and how automated tests integrate into them.
Test Tracking: Experience with a test management or task tracking system (Jira, TestRail, or similar).
Nice-to-Have:
Front-end test automation (Selenium, Playwright, Cypress).
Performance and load testing (k6, Locust, JMeter).
Containerization (Docker, basic Kubernetes).
Familiarity with ML model serving infrastructure (Triton, TorchServe, etc.) and the kinds of things that can go wrong there.
Knowledge of one other language (JavaScript/TypeScript, Go, or C++).
Awareness of the robotics domain — knowing what a humanoid robot needs from its software stack.
Languages: Python (primary), JavaScript/TypeScript for front-end work
Backend: REST/gRPC APIs, message queues
Infrastructure: Linux, Docker, cloud (AWS/GCP)
Tooling: Git, GitHub/GitLab, test management tooling
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence.
This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively.
Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture.
Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response.
Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior.
Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team.
Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes.
Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust.
Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why.
Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work.
Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline.
Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify.
In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures.
Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history.
System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line.
Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process.
Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering.
Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process.
Must-Have:
Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar.
Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions.
Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics.
Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity.
Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work.
Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar).
Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership.
Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level.
Nice-to-Have:
Robotics experience, especially with serial-link manipulators or legged systems.
Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements.
Python (or similar) for ad-hoc data analysis and lightweight test automation.
CAD (SolidWorks/Fusion/NX) for sketching test fixtures.
Familiarity with ROS2.
Experience with embedded systems and field buses such as CAN or EtherCAT.
Experience with industrial automation equipment (servos, gateways, sensors, PLCs).
Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation.
Actuators (motors, gearboxes, encoders, drivers)
Robot manipulators and end-effectors
Legged subsystems and balance behaviors
Power and battery systems
Full humanoid robot assemblies
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Robotics Test Engineer to support software release validation, policy evaluations, and end-to-end metrics collection on our humanoid robots. You will work alongside our Test Team, owning day-to-day execution and growing into deeper HIL and automation responsibilities.
This is not a standard web-QA role. You will be running tests on real robots, comparing simulation against reality, and helping us build the data pipeline that tells us whether each new software version is ready to ship.
Release Validation: Execute the end-to-end test pipeline for each new software release, ensuring quality gates are met before the build is deployed to the fleet.
Regression Coverage: Run automated and manual regression suites against new builds; triage failures and route them to the right owner.
CI/CD Participation: Contribute new tests to our CI/CD pipeline (GitLab CI, GitHub Actions) so that regressions are caught immediately after code merges.
Eval Support: Help design and run policy evaluations for our learned behaviors — defining success criteria, executing trials, and collecting results in a reproducible way.
Simulation: Run policy evaluations in simulation environments (Gazebo, NVIDIA Isaac Sim) in parallel with physical robot tests.
Sim-to-Real: Track differences between simulation and physical robot results and feed findings back to the policy team.
Metrics Pipeline: Support the collection of end-to-end performance and reliability metrics across releases, building consistent reporting the org can trust.
Dashboards: Help maintain dashboards that highlight pass/fail rates, latency, and performance trends release-over-release.
Data Hygiene: Keep test data clean and well-labeled so that long-term trends remain meaningful as the platform evolves.
Experience: 3+ years in software test engineering or test automation, ideally with some exposure to robotics, embedded systems, or another physical-systems domain.
Coding: Strong proficiency in Python for scripting and test automation. Comfortable reading C++.
Robotics Middleware: Working knowledge of ROS2 — you understand topics, services, and how to interact with a running robot.
OS: Comfortable in Linux (Ubuntu) — terminal, shell scripting, basic system administration.
Mindset: Methodical and curious. You enjoy finding the one weird edge case that breaks the build.
Nice-to-Have:
Experience with robotics simulators (Gazebo, NVIDIA Isaac Sim, Unity).
Exposure to Hardware-in-the-Loop (HIL) test benches.
Basic electrical debugging skills (multimeter, oscilloscope).
Awareness of safety-critical standards (IEC 61508, ISO 26262).
Languages: Python (primary), C++ (reading), Bash
Robotics: ROS / ROS2
CI/CD: GitLab / GitHub Actions
Simulation: NVIDIA Isaac Sim
Hardware Interfaces: CAN, EtherCAT, Ethernet
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
Equity included–we believe builders should share in what they build.
Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We’re scaling from prototypes to manufacturing, and the process maturity needs to match. This role owns the secure manufacturing pipeline — the procedures, tooling, and controls that take a bare board in an untrusted CM facility and turn it into a cryptographically enrolled, OTA-ready device that our cloud fleet trusts. You’ll be the bridge between our secure boot/firmware teams and the cloud control plane, connecting them at the point of manufacture.
Design the secure manufacturing station — Architect the hardware, software, and network stack (HSM, key injection, AWS Private CA) for factory floor provisioning stations. Integrate the secure boot fuse/flashing flow from our secure boot/firmware team.
Build the provisioning toolchain — Own the automation pipeline that takes a bare device through identity provisioning, enrollment, firmware flashing, calibration, and functional test.
Bridge device and cloud identity Enroll every device into a registry with correct credentials for OTA, session heartbeating, and deployment tracking.
Own the End-Of-Line (EOL) test framework — Work with globally distributed teams to define pass/fail criteria for devices leaving the line: sensor calibration, actuator checks, and initial OTA health check.
Work with contract manufacturers —Translate security requirements into CM-executable procedures; threat-model the factory for key leakage, firmware tampering, and supply chain substitution.
Maintain chain of custody — Link each physical serial number to its provisioned identity, calibration records, test results, and firmware version at manufacture.
Collaborate across teams — Work daily with a globally distributed team of firmware, cloud, manufacturing, systems and operational team members.
10+ years of experience which includes manufacturing engineering, with a comparable depth of experience developing test tools and frameworks. Plus experience working with networking in a manufacturing environment, and time focused on secure device provisioning and/or secure manufacturing processes. Ideally 3 years at a Staff level or equivalent.
PKI and device identity — Experience with X.509 certificate lifecycles, mTLS, device authentication and attestation, and managed CA services like AWS Private CA.
AWS infrastructure — S3, IAM, ECS, KMS, CloudHSM and Secrets Manager for secure provisioning workflows.
EOL test and calibration — Hands-on experience defining manufacturing test frameworks, experience with hardware test fixtures.
Scripting and automation — Advanced skills in Python or Bash for developing production-grade provisioning toolchains.
Advanced skills and understanding of Rust, Bazel, Systemd
Embedded Linux systems — Experience with NVIDIA Jetson Orin/Thor platforms.
Secure manufacturing design — Ability to design secure processes for untrusted or semi-trusted offshore CMs and air-gapped station design.
Experience managing quality gates with contract manufacturers
Hardware root of trust understanding — General understanding of secure boot chains, TPM/TrustZone, cryptographic key injection, certificate provisioning, and eFuse programming.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $260,000–$320,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe’re scaling from prototypes to manufacturing, and the process maturity needs to match. This role owns the secure manufacturing pipeline — the procedures, tooling, and controls that take a bare board in an untrusted CM facility and turn it into a cryptographically enrolled, OTA-ready device that our cloud fleet trusts. You’ll be the bridge between our secure boot/firmware teams and the cloud control plane, connecting them at the point of manufacture.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design the secure manufacturing station — Architect the hardware, software, and network stack (HSM, key injection, AWS Private CA) for factory floor provisioning stations. Integrate the secure boot fuse/flashing flow from our secure boot/firmware team.\n\n - Build the provisioning toolchain — Own the automation pipeline that takes a bare device through identity provisioning, enrollment, firmware flashing, calibration, and functional test.\n\n - Bridge device and cloud identity Enroll every device into a registry with correct credentials for OTA, session heartbeating, and deployment tracking.\n\n - Own the End-Of-Line (EOL) test framework — Work with globally distributed teams to define pass/fail criteria for devices leaving the line: sensor calibration, actuator checks, and initial OTA health check.\n\n - Work with contract manufacturers —Translate security requirements into CM-executable procedures; threat-model the factory for key leakage, firmware tampering, and supply chain substitution.\n\n - Maintain chain of custody — Link each physical serial number to its provisioned identity, calibration records, test results, and firmware version at manufacture.\n\n - Collaborate across teams — Work daily with a globally distributed team of firmware, cloud, manufacturing, systems and operational team members.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 10+ years of experience which includes manufacturing engineering, with a comparable depth of experience developing test tools and frameworks. Plus experience working with networking in a manufacturing environment, and time focused on secure device provisioning and/or secure manufacturing processes. Ideally 3 years at a Staff level or equivalent.\n\n - PKI and device identity — Experience with X.509 certificate lifecycles, mTLS, device authentication and attestation, and managed CA services like AWS Private CA.\n\n - AWS infrastructure — S3, IAM, ECS, KMS, CloudHSM and Secrets Manager for secure provisioning workflows.\n\n - EOL test and calibration — Hands-on experience defining manufacturing test frameworks, experience with hardware test fixtures.\n\n - Scripting and automation — Advanced skills in Python or Bash for developing production-grade provisioning toolchains.\n\n - Advanced skills and understanding of Rust, Bazel, Systemd\n\n - Embedded Linux systems — Experience with NVIDIA Jetson Orin/Thor platforms.\n\n - Secure manufacturing design — Ability to design secure processes for untrusted or semi-trusted offshore CMs and air-gapped station design.\n\n - Experience managing quality gates with contract manufacturers\n\n - Hardware root of trust understanding — General understanding of secure boot chains, TPM/TrustZone, cryptographic key injection, certificate provisioning, and eFuse programming.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in California, the expected base salary range is $260,000–$320,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"b093c5ff-bbc8-477f-80de-e48d0bca92c1","title":"Senior Autonomy Engineer - SLAM & Navigation","department":"Engineering","team":"Spatial AI & Navigation","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-06-05T18:54:10.330+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/b093c5ff-bbc8-477f-80de-e48d0bca92c1","applyUrl":"https://jobs.ashbyhq.com/humanoid/b093c5ff-bbc8-477f-80de-e48d0bca92c1/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces.
Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry.
Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time.
Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training.
Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories.
Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute.
Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap.
Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion.
Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments.
Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models.
Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets.
Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code.
Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics.
A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy.
This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams.
Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown
Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories
Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines
Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset
Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried
Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection
Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode
Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it
Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines
Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML
Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing
Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams
Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue
Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes
Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce
Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows
Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor.
This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical.
Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform
Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation
Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics
Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why
Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting
Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production
Strong backend engineering skills in Python, Go, or similar
Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance)
Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code
Comfort working across the stack from frontend to backend
Experience with observability and alerting in systems where failures have real operational consequences
Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow
Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context
Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions
Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language
Experience integrating with third-party enterprise systems (WMS, ERP, or similar)
Background in robotics or real-time systems where execution state and side-effects need to be managed carefully
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior General Mechanical Design Engineer at Humanoid, you will own the design and development of key mechanical subsystems, including robotic joints, structural assemblies, and dynamic mechanisms that enable humanoid mobility and manipulation.
This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems.
You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic hardware.
Your work will directly influence the performance, reliability, and scalability of our humanoid robots.
Design and develop mechanical systems for humanoid robots, including structural components, joints, and robotic linkages
Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability
Design robotic mechanisms and linkages optimized for strength, weight, efficiency, and durability
Select materials and manufacturing methods that balance performance, weight, cost, and scalability
Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication
Design components for high volume production, designing for processes like casting, injection moulding, and sheet metal
Work closely with electrical, controls, and software engineers to integrate motors, sensors, and embedded systems into robotic platforms
Conduct mechanical testing and validation to verify performance, durability, and system reliability
Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems
Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM)
Own mechanical subsystems from concept through prototyping, testing, and deployment.
5+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products
Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field
Strong fundamentals in mechanics, statics, dynamics, thermals, and material science
Proficiency with SolidWorks, NX or similar CAD tools
Experience applying GD&T based on ASME Y14.5
Experience designing precision mechanical assemblies or mechanisms
Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding
Hands-on experience building, assembling, and testing mechanical prototypes
Strong analytical and problem-solving skills
Ability to work effectively in a fast-paced, multidisciplinary engineering environment.
Experience developing robotic or mechatronic systems
Experience working on humanoid, legged, or mobile robots
Experience performing FEA or structural simulations
Experience with design of cooling systems and optimizing thermal performance
Experience designing lightweight structural systems
Familiarity with robotic safety standards such as ISO 10218
Familiarity with robotic actuators, gear trains, and transmission systems
Experience in robotics, aerospace, automotive, or advanced hardware startups.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Most humanoid efforts are racing toward fully general-purpose bipeds with five-fingered hands. We made a different call — informed by direct customer conversations and a team that has actually deployed robots at fleet scale in prior companies. Our wedge is the practical one: wheeled industrial humanoids that solve real customer problems today, on a generalized hardware platform with generalized learning paradigms.
What that means for the role: The combination of generalized hardware and generalized learning lets us deploy and integrate astonishingly fast — high-performance capability landing in customer facilities in days to weeks, not quarters. Industrial customers used to the multi-quarter integration cycles that are the industry norm consistently tell us this looks different. It is.
The AI stack is our long-term flywheel. We are aggressively pushing the envelope on modern robot learning — fleet learning, embodied agents, foundation models for autonomy — and leveraging AI agents across the product workflow itself. The platform is generalized enough that a capability trained once propagates across every robot in the field. Our public AI white paper has more: https://thehumanoid.ai/ai/
As VP of Industrial Product Engineering, you will be the single engineering owner of industrial product delivery — the person who, across hardware, software, AI, and system integration, makes sure what we ship is what our customers actually need, in the order they need it, on the timeline they need it.
You won't run a siloed sub-org. You will work as a peer to our functional engineering leaders — hardware, software, AI, test — leading prioritization for engineers dedicated to the industrial product. Think of this as a technical GM for industrial: you own what and when; you partner with functional leads who own how.
This role reports directly to the CTO.
Own end-to-end engineering delivery for the industrial product — from design, through pilots, through scale and iteration in the field — across HW, SW, AI, and system integration & test.
Direct prioritization for the engineers hard-allocated to industrial across our matrixed functions (industrial / common / home). Partner closely with functional leads on shared platform work, and with Ops on manufacturing readiness.
Be the single source of truth on industrial engineering delivery and forward roadmap for the CEO, Commercial team, Product, and customers.
Build a delivery engine that releases production software on a fast, predictable cadence and that scales beyond the first industrial product line.
15+ years in engineering leadership, with a track record of shipping multi-disciplinary HW/SW/AI products at meaningful scale.
Software-biased background. Most of the long-term work here is software and AI — deployment, fleet learning, capability iteration. We need a leader whose center of gravity is software, with the HW and AI fluency to drive us to a world-class holistic product.
Deep understanding of the industrial market — what real industrial customers in logistics, manufacturing, automotive and adjacent verticals actually buy, integrate, and rely on. UK or EU industrial experience is a strong plus; US industrial deployment experience is equally valued.
Demonstrated ability to lead through influence in a matrix — you have driven outcomes across teams you didn't directly manage, and you can show how.
You have taken product from zero to one, and have delighted customers with innovative solutions to solve their real pain points.
Deep technical credibility across HW, SW, and modern AI — enough to debate functional leads as a peer, not just review their work.
Comfort operating across distributed teams (London, Boston, Vancouver, San Diego).
Calibrated for the pace of a company moving from prototype to production at the same time it's raising and growing.
Long term pilots transition smoothly into scaled deployments at multiple customer locations.
Robots in reliable operation around the clock, delivering to strict SLAs.
HW, SW, and AI are all moving at best-in-class quality — none of the three is sacrificed to hit a near-term gate.
London required. The role requires daily proximity to the people you'll be coordinating with across engineering/ops/product/business.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics.
Team Leadership & Product Security Delivery
Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle.
Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems.
Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture.
Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms.
Security Assurance & Certification
Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation.
Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act.
Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users.
Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification.
Incident Response & Lifecycle Security
Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis.
Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations.
Commercial & Bid Support
Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope.
Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions.
Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes.
Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments.
Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context.
Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development.
Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner.
Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence.
Preferred:
Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems.
Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths.
Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems.
Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme.
Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments.
Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS).
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a VP of AI Transformation will be responsible for defining and executing Humanoid's enterprise-wide AI transformation strategy.
This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive Humanoid's evolution into an AI-native company.
You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence.
This is a highly strategic leadership role with significant influence over the future operating model of the company.
AI Transformation Strategy
Define and execute Humanoid's enterprise AI transformation vision and roadmap.
Develop a company-wide AI strategy aligned with business objectives and growth plans.
Establish priorities, investment frameworks, and governance structures for AI initiatives.
Advise executive leadership on emerging AI opportunities, risks, and market developments.
Build an AI-first culture focused on innovation, productivity, and continuous improvement.
Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organization.
AI Operating Model & Continuous Improvement
Own and evolve Humanoid's AI-Powered Continuous Improvement Flywheel.
Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums.
Embed AI initiatives into business planning, capability maturity assessments, and operational reviews.
Identify, prioritize, and scale high-impact AI use cases across all functions.
Ensure successful pilots are translated into enterprise-wide capabilities.
Drive the development of AI-native ways of working across the organization.
Enterprise AI Governance
Establish policies, standards, and controls for responsible AI deployment.
Define governance frameworks covering:
AI ethics and responsible AI
Security and cyber risk management
Data governance and privacy
Human-in-the-loop controls
Model evaluation and monitoring
Compliance and audit readiness
AI vendor and platform governance
Ensure all AI solutions align with corporate, legal, and regulatory requirements.
Organizational Transformation & Change Management
Lead enterprise-wide AI adoption and change management programs.
Build AI literacy across leadership teams and employee populations.
Establish AI Champions networks and communities of practice.
Drive workforce enablement and behavioral change initiatives.
Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity.
Business Impact & Value Realization
Define KPIs and success metrics for AI transformation initiatives.
Measure and report:
Automation maturity
Productivity improvements
ROI of AI initiatives
User adoption
Quality and accuracy outcomes
Cost efficiencies
Operational performance improvements
Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board.
Cross-Functional Leadership
Lead and mentor AI Leads and transformation teams across the business.
Partner closely with:
CEO and Executive Leadership Team
Business Transformation
Engineering
IT
Finance
HR
Supply Chain
Compliance
Cybersecurity
Align AI initiatives across functions to avoid duplication and maximize business impact.
Promote collaboration between technical and business teams.
Innovation & External Ecosystem
Continuously evaluate emerging AI technologies, platforms, and market developments.
Build relationships with AI vendors, research institutions, industry partners, and startups.
Identify opportunities to create competitive advantage through AI.
Benchmark Humanoid against leading AI-native organizations and establish best practices.
10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles.
Proven track record leading large-scale organizational transformation programs.
Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms.
Experience designing enterprise operating models, governance frameworks, and transformation programs.
Strong understanding of business process transformation and continuous improvement methodologies.
Experience leading cross-functional initiatives involving business, technology, and operations teams.
Exceptional executive communication and stakeholder management skills.
Strong analytical, strategic, and systems-thinking capabilities.
Demonstrated ability to translate emerging technologies into measurable business outcomes.
Experience building AI adoption programs at enterprise scale.
Nice to have:
Experience building AI Centers of Excellence (CoE) or enterprise AI programs.
Experience deploying AI agents and intelligent automation solutions at scale.
Background in robotics, advanced manufacturing, industrial automation, or deep-tech organizations.
Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies.
Experience with enterprise knowledge management and AI-driven decision support systems.
MBA or advanced degree in Engineering, Computer Science, Business, or a related field.
Within your first 12 months, you will have:
Established Humanoid's AI Transformation Office and governance framework.
Embedded AI maturity assessments into business capability reviews.
Delivered multiple AI initiatives with measurable business impact.
Built and operationalized an AI-first operating model across engineering and business functions.
Increased automation maturity across critical value streams.
Improved productivity through AI-enabled workflows and intelligent automation.
Created a sustainable AI adoption culture supported by governance, training, and continuous improvement.
Positioned Humanoid as one of the world's leading AI-native robotics companies.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays.
Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London.
As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future.
Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities.
Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale.
Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow.
Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms.
Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance.
Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health.
Establish and uphold best practices for data management - versioning, access control, security, and compliance.
5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them.
Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load.
Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution.
Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling.
Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage.
Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts.
Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance.
Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off.
Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally.
Nice to Have
ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers.
Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation.
Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start.
BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders.
Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers.
Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Field Applications Engineering Manager to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves managing a team of Field Applications Engineers, planning and resourcing deployments, conducting on-site visits to customer facilities, leading demos, managing deployment projects as well as acting as the accountable person for deployment acceptance testing, site integration and robot operations. This position requires leadership, technical expertise, flexibility, problem-solving skills, and a customer-centric approach.
Manage the North America deployment team, including 1:1s, performance, mentoring and coaching.
Allocate and schedule the team, resources and support required to meet deployment milestones.
Lead the deployment and implementation of humanoid robot solutions at customer locations.
Oversee the planning, preparation and execution of on-site Proof of Concept (PoC) and pilot projects, both short and long-term.
Integrate engineering development activities into deployment projects, working with technical leaders across the company to manage delivery risks.
Supervise visits to customer facilities to gather data and assess requirements.
Supervise the construction and use of test environments in our lab for deployment reliability and performance testing. Define lab test and site acceptance testing strategies.
Lead product demonstrations in the lab for customers, investors, and internal stakeholders.
Represent the company at expos and industry events, delivering live product demos.
Manage the testing of product releases and their delivery to customer sites.
Oversee resolution of on-site issues during deployment and operations.
Prioritise product data and customer feedback for engineering and product teams; implement improvements to deployment efficiency and site deployment processes.
Oversee maintenance and troubleshooting activities, with remote engineering support.
Report deployment status and risks to senior stakeholders across the company.
Work with Business Development, Engineering and Product Management on customer use case analysis, solution development, and deployment strategies.
Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification.
Experience leading robotics or automation deployment projects at customer sites, including concept/pilot projects.
Experience managing a team of engineers in demanding environments.
Technical knowledge of robotics site installation and hardware/software configuration.
Track record of overseeing the resolution of technical issues on site under pressure.
Experience presenting and delivering live product demonstrations.
Experience working across engineering, product, and commercial teams to deliver customer projects.
Exceptional written and verbal communication skills.
Experience managing customer stakeholders on-site.
Prior experience in humanoid, AMR or manipulation-based robotics deployment.
Experience with software integration and sensor-based automation.
Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance.
Experience with CAD modelling, 3D scanning, or digital twin technology.
Experience with site commissioning and acceptance.
Experience with automation business case development and presales activity.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $150K–$180K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a Field Applications Engineering Manager to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves managing a team of Field Applications Engineers, planning and resourcing deployments, conducting on-site visits to customer facilities, leading demos, managing deployment projects as well as acting as the accountable person for deployment acceptance testing, site integration and robot operations. This position requires leadership, technical expertise, flexibility, problem-solving skills, and a customer-centric approach.\n\n \n\n\nWHAT YOU'LL DO\n\n - Manage the North America deployment team, including 1:1s, performance, mentoring and coaching.\n\n - Allocate and schedule the team, resources and support required to meet deployment milestones.\n\n - Lead the deployment and implementation of humanoid robot solutions at customer locations.\n\n - Oversee the planning, preparation and execution of on-site Proof of Concept (PoC) and pilot projects, both short and long-term.\n\n - Integrate engineering development activities into deployment projects, working with technical leaders across the company to manage delivery risks.\n\n - Supervise visits to customer facilities to gather data and assess requirements.\n\n - Supervise the construction and use of test environments in our lab for deployment reliability and performance testing. Define lab test and site acceptance testing strategies.\n\n - Lead product demonstrations in the lab for customers, investors, and internal stakeholders.\n\n - Represent the company at expos and industry events, delivering live product demos.\n\n - Manage the testing of product releases and their delivery to customer sites.\n\n - Oversee resolution of on-site issues during deployment and operations.\n\n - Prioritise product data and customer feedback for engineering and product teams; implement improvements to deployment efficiency and site deployment processes.\n\n - Oversee maintenance and troubleshooting activities, with remote engineering support.\n\n - Report deployment status and risks to senior stakeholders across the company.\n\n - Work with Business Development, Engineering and Product Management on customer use case analysis, solution development, and deployment strategies.\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification.\n\n - Experience leading robotics or automation deployment projects at customer sites, including concept/pilot projects.\n\n - Experience managing a team of engineers in demanding environments.\n\n - Technical knowledge of robotics site installation and hardware/software configuration.\n\n - Track record of overseeing the resolution of technical issues on site under pressure.\n\n - Experience presenting and delivering live product demonstrations.\n\n - Experience working across engineering, product, and commercial teams to deliver customer projects.\n\n - Exceptional written and verbal communication skills.\n\n - Experience managing customer stakeholders on-site.\n\n\nPREFERRED QUALIFICATIONS\n\n - Prior experience in humanoid, AMR or manipulation-based robotics deployment.\n\n - Experience with software integration and sensor-based automation.\n\n - Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance.\n\n - Experience with CAD modelling, 3D scanning, or digital twin technology.\n\n - Experience with site commissioning and acceptance.\n\n - Experience with automation business case development and presales activity.\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in Massachusetts, the expected base salary range is $150K–$180K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"01385350-d4ef-404f-94c1-a2b593f67b97","title":"Senior In-House Repair Technician","department":"Operations","team":"Service Engineering & Aftersales","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-07-10T20:30:27.149+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/01385350-d4ef-404f-94c1-a2b593f67b97","applyUrl":"https://jobs.ashbyhq.com/humanoid/01385350-d4ef-404f-94c1-a2b593f67b97/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior In-House Repair Technician the deepest hands-on repair capability in our Services Repair Centre. You will perform complex repair, rework, and full overhaul/restore on parts, sub-systems, and full robots, and deliver approved upgrades to existing units. You will also be our forensic-analysis specialist, determining root cause and supporting warranty decisions in both directions.
This is a senior, hands-on role. You will act as a “flying doctor” at customer sites for the most difficult interventions, help author the work instructions the rest of the team follows, and mentor Associate and Advanced technicians.
Perform complex repair, rework, and full overhaul/restore on parts (SRUs), sub-systems, and full robots.
Deliver approved upgrades to existing robots and parts.
Lead physical troubleshooting and forensic analysis when Remote Services cannot localise a fault, determining root cause and supporting warranty determination (supplier claims, proof a fault was not caused by Humanoid…).
Act as a flying doctor at customer sites for the most difficult on-site interventions.
Partner with Product Services Engineering and the Training team to author clear, low-skill work instructions.
Mentor Associate and Advanced technicians and contribute to the skills matrix and the unified career path across In-House, Remote, and Field roles.
Own refurbishment throughput and quality for the most complex part families, and certify work to specification.
Mechanical/electrical technician training plus ~5+ years of hands-on repair experience, with deep specialisation.
Proven ability to overhaul and restore complex electromechanical systems and full robots to specification.
Strong forensic troubleshooting skills — you find root cause and can defend a warranty determination with evidence.
Ability to author work instructions and mentor other technicians.
Rigorous quality, certification, 5S and health-and-safety discipline.
Willingness to travel for on-site interventions.
Experience with humanoid, legged, or advanced robotics hardware.
Familiarity with calibration, metrology, and test/certification requirements for precision mechatronics.
Exposure to failure-analysis methods and supplier-quality / warranty processes.
Experience setting up or scaling a repair or refurbishment operation.
Competitive equity: stock options with meaningful upside as we scale.
30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Staff Program Manager to own the Services Business Process Automation (BPA) function — the digital backbone of our Services organisation. BPA runs the Service Lifecycle Management (SLM) platform, the Business Intelligence and reporting layer, and the integration of our business applications with customer IT/OT ecosystems — all operating within the corporate IT governance framework.
This is a strategic, hands-on ownership role. You will define and own the BPA program and roadmap, lead cross-functional platform deployments end to end, and connect corporate digitalization strategy to on-the-ground Services execution. You will work closely with Services leadership, product and corporate IT, and external technology partners.
Define, own, and continuously evolve the BPA roadmap: SLM platform strategy, BI architecture, process-automation priorities, and customer IT/OT integration.
Translate corporate digitalization objectives and Services business priorities into a structured, time-phased program with clear milestones and resource plans.
Lead cross-functional software deployments and platform integrations from requirement scouting to hypercare, applying Agile (Scrum/Kanban) and structured PMO practices.
Own the program-governance framework — risks, dependencies, change control, escalation, and steering-committee reporting — and track schedule, budget, adoption, data quality, and SLA impact.
Champion the Services Lean First KPI framework and ensure BI reporting reflects real operational progress across the whole Services organisation.
Manage vendor relationships, program budgets, and build-vs-buy-vs-integrate decisions for new BPA tools and platforms.
Act as the strategic interface between Services leadership, product leadership, and corporate IT — simplifying complex technical realities into clear business narratives for executives.
8–12+ years in digital/IT program management, with a track record of leading large-scale CRM, SLM, or ERP deployments.
Proven success managing complex cross-functional programs in mechatronics, industrial automation, robotics, field service, or advanced manufacturing.
PMP, PRINCE2, or equivalent program-management certification; Agile (SAFe, Scrum Master, or Kanban) is a strong plus.
Solid understanding of CRM and SLM platforms, BI architectures, and enterprise integration patterns.
Experience holding full budget accountability for digitalization programs.
Elite stakeholder communication — able to build consensus across diverse functional and executive stakeholders.
Exposure to humanoid robotics, cobots, or other advanced-technology industries.
Familiarity with service benchmarks in relevant industries.
Experience introducing BI as a shared intelligence layer across a multi-team organisation.
PMO tooling proficiency (MS Project, Jira, Smartsheet, or equivalent).
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Mechatronics Remote Support Engineer to be the troubleshooting core of our Remote Services team — the people who keep our humanoid robots running in the field. When a robot has a problem, you diagnose it remotely, resolve what can be resolved without a site visit, and — when hands are needed on the robot — produce a precise physical-intervention recommendation for the field or Repair Centre teams to execute.
This is a hands-on, customer-facing technical role. You will work remote-first, diagnosing as deep into the robot as the tools allow, and you will occasionally travel as a “flying doctor” when local resources cannot resolve an issue themselves.
Diagnose robot faults remotely using telemetry and our Digital Shadow diagnostics (remote diagnostics, 3D BOM explosion, and fleet-pattern detection).
Resolve issues remotely wherever possible, driving each case to the deepest root cause you can before escalating.
Produce complete physical-intervention recommendations — what to do, why, how, the skill level, spare parts, expected time, and any special tooling.
Occasionally, act as a flying doctor on-site when local resources cannot fix the issue themselves.
Prioritise cases against SLAs and keep customers informed with clear, transparent updates.
Document diagnoses and resolutions so the team’s collective knowledge grows while the digital tools mature.
Escalate through the single point of entry to Engineering when a case genuinely needs R&D.
Hands-on knowledge of robot hardware: 2D/3D LiDAR, RGB cameras, motors, and actuators.
Software troubleshooting on robots: ROS2, Bash, Ubuntu/Linux, and bootloader/firmware.
Strong remote-diagnosis instincts — you localise faults precisely before recommending any physical work.
Clear technical communication with customers and field teams, especially under SLA pressure.
A methodical, case-to-the-end mindset with disciplined documentation.
Willingness to travel occasionally for on-site interventions.
Experience with Time-of-Flight (ToF) sensors and IMUs.
Python and Git for building small diagnostic utilities.
Prior customer-facing field-service or technical-support experience.
Familiarity with SLA-driven support operations and lean, one-piece-flow ways of working.
Competitive equity: stock options with meaningful upside as we scale.
30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior Electrical Serviceability Engineer to own the electrical and electronics dimension of serviceability for our humanoid robots. Product Services Engineering ensures the robot is designed to be maintained — modular, repairable, and serviceable at low skill in the field. You will own that mission for everything electrical: power distribution and batteries, wiring and harnesses, connectors, sensor and actuator drive electronics, and compute — including how faults are diagnosed, how systems are safely isolated, and how parts are replaced and reworked at the right BOM level.
This is a deeply technical, hands-on role. You will validate the electrical and electronics dimension of every service procedure before production, define the diagnostic points and safe-working practices that let our field and Repair Centre teams work quickly and safely, and act as part of the single engineering interface between Services and R&D.
Own Design-for-Serviceability for electrical and electronics: drive accessibility, connectorisation, safe isolation, and low-skill field-executability into the product before design is locked.
Define and validate electrical repair, rework, and replacement procedures at the correct BOM level — module/assembly for the field, deeper for the Repair Centre — across power distribution, batteries, harnesses, sensor and actuator electronics, and compute.
Specify the diagnostic points, test equipment, and safe-isolation / lockout procedures needed to service the robot’s electrical systems safely and repeatably.
Define the electrical diagnostic content in the Digital Shadow platform — localising power, sensing, and actuation faults as deep as possible in the BOM.
Lead the electrical and electronics input to Service Failure Mode and Effects Analysis (S-FMEA) and feed serviceability requirements back into design.
Support New Services Introduction (NSI) for electrical scope, and act as the single point of entry from Services into R&D for electrical escalations.
Electrical or electronics engineering background with hands-on experience diagnosing and repairing complex electromechanical products or robots.
Strong grasp of power distribution, battery systems, wiring harnesses, connectors, sensors (LiDAR, cameras), and actuator drive electronics from a maintainability standpoint.
Confident reading schematics and wiring diagrams, using electrical test equipment (multimeter, oscilloscope, and similar), and defining safe-isolation and lockout/tagout procedures.
Design-for-Serviceability experience: connectorisation, diagnostic access, fault isolation, and modularity of electrical assemblies.
A field-first, safety-first mindset — you design for the technician who has limited time, tools, and training, and for whom electrical safety is paramount.
Comfort working across the full BOM hierarchy, from full-robot diagnosis to board- and component-level repair.
Experience with humanoid or legged robotics electrical systems.
Familiarity with battery management systems (BMS), high-current power electronics, and functional-safety considerations.
Experience with calibration-after-repair for sensors and actuators.
Exposure to spare-parts / service-replaceable-unit (SRU) strategy and refurbishment loops.
Experience introducing serviceability into a product moving from prototype to mass production.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained — and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform.
This is a deeply technical, hands-on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D.
Own Design-for-Serviceability for software: ensure the robot’s software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill.
Collaborate with R&D to build and validate diagnostic scripts, tooling, and self-test routines that localise faults as deep as possible in the BOM.
Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet-pattern detection, and AR-guided execution.
Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release.
Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates.
Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations.
Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows.
Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation.
Hands-on experience diagnosing robots or complex electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware.
Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective.
A design-for-serviceability mindset — you think about the technician in the field, not just the happy path.
Disciplined engineering practice and version control (Git).
Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field.
Familiarity with remote-diagnostics or fleet-telemetry platforms.
Experience authoring service documentation or work instructions consumed by non-engineers.
Exposure to Design-for-Serviceability / DfMA on a hardware product line.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a Personal Brand Lead for our Marketing team based in London.
Develop and execute a comprehensive personal brand strategy for the founder;
Build and maintain strong relationships with media, journalists, and influencers;
Secure interviews, features, and bylined articles in relevant media outlets;
Oversee creation of content such as articles, social media posts, speeches, and thought leadership materials;
Identify and arrange speaking opportunities at conferences, forums, and industry events;
Prepare the founder for public appearances and media interactions;
Monitor and manage the founder’s public image and reputation;
Lead social media strategy and ensure consistent, authentic messaging across platforms;
Track performance metrics and adjust brand development strategies based on insights
More than 5 years of relevant experience in managing the personal brand of a high-net-worth individual and/or public figure (e.g., personal brand manager, celebrity producer, agent, press officer, PR lead, or similar).
Extensive network of Tier-1 and Tier-2 media contacts, event organizers, and bloggers (investor connections are a plus) across the tech, AI, and robotics sectors in the USA, UK, and Europe.
Excellent interpersonal skills.
Ability to perform well under pressure and tight deadlines.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.
Post-train policies via behaviour cloning and RL; own the full loop from data to deployment.
Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage.
Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.
Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.
Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.
3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.
Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
Familiarity with modern software engineering practices.
You document experiments clearly and communicate trade‑offs crisply.
Robotics or autonomous driving experience.
Experience applying RL to LLMs or robotics.
Experience with VLA (vision-language-action) models.
Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).
Publications at top-tier deep learning conferences or equivalent open‑source contributions.
Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As our Engineering Lab Manager, you'll be the backbone of our hardware lab — keeping it organized, stocked, and running smoothly so our engineers can focus on building. This is a hands-on, highly visible role in a small, fast-moving office of around 30 engineers working on cutting-edge humanoid robotics.
This is a great opportunity for someone with a hands-on technical background who wants to grow inside a robotics company at an early and exciting stage.
Own lab organization — maintain a clean, safe, and well-organized lab environment. Keep workbenches, storage, and shared spaces in order so the team can work efficiently.
Engineering inventory management — track and restock components, consumables, tools, and lab equipment. Own the procurement process for day-to-day lab needs, working with vendors and internal stakeholders to keep things moving. Kit parts for engineering builds and repairs.
Support hardware and equipment — assist engineers with equipment setup, basic maintenance, and calibration of lab tools including oscilloscopes, power supplies, soldering stations, and test fixtures. Flag equipment issues and coordinate repairs or replacements.
Facilitate general lab operations — coordinate deliveries, manage lab access, support onboarding of new team members to lab tools and processes, and help enforce lab safety policies.
Support the team day-to-day — pitch in where needed across a small, busy engineering team. This might mean helping set up a demo, organizing a shipment, or sourcing a hard-to-find component quickly.
Hands-on experience in an electronics, engineering, or hardware lab environment — through work or school.
Demonstrated experience managing physical inventory: receiving, tracking, reorder thresholds, vendor coordination in a lab, warehouse, makerspace, or production environment.
Familiarity with component and inventory management tools or systems
Comfort handling and organizing electronic components, PCBAs, cables, and lab equipment
Expertise with ESD handling protocols for sensitive electronic components and assemblies.
Strong attention to detail and a natural tendency to keep shared spaces organized and functional
Strong communication skills and comfort working closely with technical teams
Ability to manage multiple tasks and priorities in a fast-moving environment
This role requires the ability to lift and carry equipment and materials weighing up to 40 lbs as part of regular lab duties
Experience with basic soldering, rework, or electronics assembly
Exposure to robotics, electromechanical systems, or a hardware startup environment
Comfort using tools like Notion, Jira, or similar for tracking and documentation.
Experience with PLM tools, such as TeamCenter or Arena.
For this role in Massachusetts, the expected base salary range is $65-85K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Functional Safety Engineer on our Systems Engineering team, you will have the unique opportunity to contribute to the development of cutting-edge safety-related systems for our industrial and home robots. You will be working closely with the Functional Safety Lead to support safety lifecycle activities and will be leading the development of safety-critical subsystems.
This is a high-impact role for an experienced engineer with a proven record of delivering and certifying safety-related systems, preferably in the robotics domain. If you have a strong understanding of functional safety fundamentals & industry standards, innovative thinking, and a capacity for detailed work on complex systems, we'd love to hear from you.
Lead or support activities across the complete safety lifecycle, starting from initial concept all the way to validation and certification.
Lead or support the development of novel safety assurance arguments, for individual subsystems as well as the overall products.
Contribute to safety concept definition and support detailed technical development of safety-critical systems.
Collaborate across disciplines to define, communicate, and validate safety-critical requirements for sensors, controllers, actuators including hardware and software.
Perform safety analyses like FMEA, FMEDA, FTA etc.
Create and maintain technical documentation to support the safety case, such as risk assessments, functional safety concept, safety requirement specifications (SRS), verification & validation plans and test reports.
Ensure compliance with regulations and international standards.
5+ years experience and deep technical expertise in development of safety-critical systems.
Proven record of applying functional safety standards for embedded systems (e.g. IEC 61508, IEC 62061, ISO 13849, ISO 26262 or similar).
Experience with robotics safety standards (e.g. ISO 10218, ISO 13482, ISO 3691-4).
Experience with safety case development and certification, especially for autonomous systems.
Familiarity with safety standards for sensors and actuators (e.g. IEC 61496, IEC 62998, IEC 61800-5-2).
Understanding of AI functional safety standards is a plus (e.g. ISO/IEC TR 5469, ISO PAS 8800 or similar).
Hands-on experience of design, implementation and validation of safety systems for mobile robots or dynamic systems (e.g., AMRs, bipedal robots, exoskeletons, mobile manipulators or robots with collaborative applications).
Strong verbal and written communication skills; author technical documentation, navigate deep technical analysis with expert engineers, and deliver high-level summaries to an executive audience.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors.
You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms.
The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).
Low-Level Control Development
Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2.
Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation.
Implement safety and fault-handling mechanisms for dynamic conditions.
Modeling, Kinematics & System Identification
Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation.
Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry.
Software & Systems Integration
Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics.
Design and debug multi-layer control architectures.
Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging.
Sensor & Hardware Integration
Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack.
Hands-on hardware bring-up and debugging.
Cross-Disciplinary Collaboration
Close the loop with mechanical/electronics engineers across sites on actuation requirements;
Support hardware bring-up, calibration, and performance testing.
M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts.
Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme.
Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it.
Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux.
Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro.
BLDC motor control (commutation, current control, torque optimization)
ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes).
Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors.
System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF.
Experience with dynamic system modeling and simulation at the actuator and transmission level.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a skilled and motivated Lead Product Deployment Engineer to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves onsite visits to customer facilities, data collection, lab-based simulations, leading the planning and execution demos, managing deployment projects, acceptance testing and leading solution integration. This position requires commitment to maintaining the highest standards, operational leadership, technical expertise, problem-solving skills, and a customer-centric approach.
Lead the deployment and implementation of humanoid robot solutions at customer locations.
Plan, organise, and supervise on-site Proof of Concept (PoC) and Pilot projects, both short and long-term.
Integrate technical development activities into the overall deployment project, working closely with technical leaders to manage delivery risks.
Supervise visits to customer facilities to gather data, assess requirements, and ensure successful integration of robotic systems.
Supervise the construction and use of test environments in our lab for reliability and performance testing. Define lab test and site acceptance testing strategies.
Lead and supervise product demonstrations in the lab for customers, investors, and internal stakeholders.
Represent the company at expos and industry events, delivering live product demos.
Manage and coordinate the testing of different product releases, ensuring timely delivery to customer sites.
Oversee solution integration in customer facilities, ensuring seamless operation.
Prioritise product data and customer feedback; coordinate implementation of improvements to product performance and deployment efficiency.
Prioritise, plan and supervise minor maintenance tasks on robotic systems, including troubleshooting with remote engineering support.
Collaborate with engineering, product development, and customer support teams to lead optimisations to deployment strategies.
Support key go to market activities working closely alongside our Business Development teams, including customer use case analysis and solution development.
Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification.
Experience with leading projects in robotic solutions, automation systems, or related technologies.
Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance.
Experience managing concept/pilot projects and deployment processes.
Strong problem-solving skills with the ability to diagnose and resolve technical issues efficiently.
Excellent organisational and communication skills to coordinate with internal teams and customers.
Ability to work independently and adapt to dynamic environments.
Ability to build effective working relationships with customers, including senior stakeholders and operations staff
Ability to lead and coach others
Willingness to travel for short-to long-term assignments at customer and partner facilities across North America with occasional travel to Humanoid HQ and other locations in Europe. Approx 40% travel.
Prior experience in warehouse/logistics automation, industrial robotics or humanoid robotics deployment.
Familiarity with software integration and sensor-based automation.
Experience with CAD modeling, 3D scanning, or digital twin technology.
Experience with commissioning or acceptance testing
Experience with automation business case development.
Experience working in complex operational environments
Ability to deliver engaging presentations and live demonstrations to diverse audiences.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $130K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a skilled and motivated Lead Product Deployment Engineer to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves onsite visits to customer facilities, data collection, lab-based simulations, leading the planning and execution demos, managing deployment projects, acceptance testing and leading solution integration. This position requires commitment to maintaining the highest standards, operational leadership, technical expertise, problem-solving skills, and a customer-centric approach.\n\n \n\n\nWHAT YOU'LL DO\n\n - Lead the deployment and implementation of humanoid robot solutions at customer locations.\n\n - Plan, organise, and supervise on-site Proof of Concept (PoC) and Pilot projects, both short and long-term.\n\n - Integrate technical development activities into the overall deployment project, working closely with technical leaders to manage delivery risks.\n\n - Supervise visits to customer facilities to gather data, assess requirements, and ensure successful integration of robotic systems.\n\n - Supervise the construction and use of test environments in our lab for reliability and performance testing. Define lab test and site acceptance testing strategies.\n\n - Lead and supervise product demonstrations in the lab for customers, investors, and internal stakeholders.\n\n - Represent the company at expos and industry events, delivering live product demos.\n\n - Manage and coordinate the testing of different product releases, ensuring timely delivery to customer sites.\n\n - Oversee solution integration in customer facilities, ensuring seamless operation.\n\n - Prioritise product data and customer feedback; coordinate implementation of improvements to product performance and deployment efficiency.\n\n - Prioritise, plan and supervise minor maintenance tasks on robotic systems, including troubleshooting with remote engineering support.\n\n - Collaborate with engineering, product development, and customer support teams to lead optimisations to deployment strategies.\n\n - Support key go to market activities working closely alongside our Business Development teams, including customer use case analysis and solution development.\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification.\n\n - Experience with leading projects in robotic solutions, automation systems, or related technologies.\n\n - Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance.\n\n - Experience managing concept/pilot projects and deployment processes.\n\n - Strong problem-solving skills with the ability to diagnose and resolve technical issues efficiently.\n\n - Excellent organisational and communication skills to coordinate with internal teams and customers.\n\n - Ability to work independently and adapt to dynamic environments.\n\n - Ability to build effective working relationships with customers, including senior stakeholders and operations staff\n\n - Ability to lead and coach others\n\n - Willingness to travel for short-to long-term assignments at customer and partner facilities across North America with occasional travel to Humanoid HQ and other locations in Europe. Approx 40% travel.\n\n\nPREFERRED QUALIFICATIONS\n\n - Prior experience in warehouse/logistics automation, industrial robotics or humanoid robotics deployment.\n\n - Familiarity with software integration and sensor-based automation.\n\n - Experience with CAD modeling, 3D scanning, or digital twin technology.\n\n - Experience with commissioning or acceptance testing\n\n - Experience with automation business case development.\n\n - Experience working in complex operational environments\n\n - Ability to deliver engaging presentations and live demonstrations to diverse audiences.\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in Massachusetts, the expected base salary range is $130K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"c08fb643-c84c-4e48-a731-349e7acad6b8","title":"Senior Low-level Control Engineer - End-Effectors","department":"Engineering","team":"Controls","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-08-23T14:01:37.393+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/c08fb643-c84c-4e48-a731-349e7acad6b8","applyUrl":"https://jobs.ashbyhq.com/humanoid/c08fb643-c84c-4e48-a731-349e7acad6b8/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior Low-level Control Engineer to join our Control Team in London, focusing on control development and integration for our end-effectors.
You will design, implement and validate actuator- and joint-level controllers and grasp-level behaviours across a family of end-effector variants - parallel and multi-finger grippers, vacuum and suction tooling, and purpose-built tooling for specific customer tasks. Each variant brings different actuation, different sensing and, critically, different transmission mechanisms: geared direct drives, cable- and tendon-driven routings, differential and coupled linkages, and underactuated designs where few actuators must produce adaptive, compliant grasping across many degrees of freedom.
The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working from real-time embedded control up through kinematics/dynamics and hardware debugging. You will work closely with mechanical and hardware engineers - early enough in the design cycle that your input shapes actuation and transmission choices rather than merely inheriting them.
Low-Level Control Development:
Tune and validate actuator- and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF end-effectors in ROS2.
Develop grasp-level behaviours: grasp force control, compliant closing, slip detection and correction, and adaptive grasping on underactuated grippers.
Implement safety and fault-handling mechanisms — thermal and over-current protection, stall and jam detection, grip-loss detection, safe behaviour on fault.
Transmission Mechanisms, Modeling & System Identification:
Build and identify models of actuators, transmissions and mechanisms - geared, cable/tendon-driven, differential, coupled and underactuated - including compliance, friction, backlash, hysteresis, cable stretch and pretension effects.
Own the joint-to-actuator abstraction for these mechanisms and the correct exposure of joint versus actuator state through the control stack.
Contribute directly to transmission mechanism design: work with mechanical engineers on routing, reduction ratios, DoF coupling and underactuation strategy, bringing the controllability and observability consequences of each option into the conversation early.
Sensor & Hardware Integration:
Integrate and calibrate end-effector sensing (F/T, tactile, encoders, temperature/current, vacuum feedback) with real-time acquisition across the control stack.
Hands-on bring-up and debugging of new end-effectors, including test-stand work and vendor-supplied units.
Cross-Disciplinary Collaboration:
Close the loop with mechanical/electronics engineers across sites on actuation, transmission and sensing requirements.
Work with data collection, applications and deployment teams so end-effectors work reliably in real use.
Shipped real-time-safe, object-oriented C++ control software running on real hardware.
Tuned and validated controllers on physical actuators, including sensor calibration and bring-up.
Modelled, identified and controlled through real mechanical transmissions - gearing, cables/tendons, differentials, coupled linkages or underactuated mechanisms - and dealt with the compliance, friction and backlash they introduce.
Worked on end-effectors or comparable multi-DoF mechanisms, including grasp control and supporting sensing.
Debugged at the fieldbus and OS layer: e.g. EtherCAT or CAN, on an RTOS or real-time Linux.
Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro.
Nice to have:
BLDC motor control (commutation, current control, torque optimization).
ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes).
Tendon- or cable-driven mechanisms specifically, including pretension management, routing friction and wear behaviour.
Tactile sensing integration; vacuum and suction tooling, including multi-cup arrays and grip-loss handling.
System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Isaac Sim).
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Humanoid is looking for an experienced PR Manager based in London to lead our public relations, influencer, and event strategy globally, with a focus on the UK, US, and Europe. This is a hands-on role for someone with a strong existing network of media, industry, and influencer contacts, particularly in the US, who can turn Humanoid's story into consistent, high-quality coverage and get Humanoid in front of the right audiences at the right events.
What You’ll Do
Build and maintain strong relationships with media outlets, journalists, editors, and influencers, with a particular focus on the US market.
Secure interviews, features, product announcements, and bylined articles in relevant Tier-1 and Tier-2 media outlets.
Oversee the creation of press releases, media kits, articles, social content, and thought leadership materials.
Identify and secure speaking opportunities at conferences, forums, and industry events, and support company spokespeople in preparing for them.
Prepare company spokespeople for public appearances, media interviews, and press engagements.
Monitor and manage Humanoid's public image and reputation, and lead the response to any reactive or crisis communications.
Support and help shape the company's social media presence, ensuring consistent and authentic messaging across platforms.
Track performance metrics and refine PR strategy based on insights and coverage results.
What We're Looking For
More than 3 years of relevant experience in public relations, communications, or media relations (e.g. PR manager, press officer, communications lead, agency account lead, or similar).
Extensive network of Tier-1 and Tier-2 media contacts, event organizers, and bloggers across the business, financial, tech, AI, and robotics sectors, with strong, active relationships in the USA (UK and Europe a plus; investor connections a plus).
Excellent interpersonal and written communication skills.
Ability to perform well under pressure and against tight deadlines.
What We Offer
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform.
The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria.
This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role.
Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements.
Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives.
Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services.
Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack.
Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams.
Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation.
Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution.
Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems.
Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues.
Define integration stages, entry and exit criteria, required test environments, and readiness expectations.
Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware.
Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions.
Develop system-level verification and validation strategies for autonomous robotic capabilities.
Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours.
Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing.
Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence.
Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations.
Facilitate requirement, architecture, interface, integration, and system-readiness reviews.
Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership.
Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment.
Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field.
Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical domain.
Experience working with complex software-intensive or cyber-physical systems composed of multiple interacting subsystems.
Strong knowledge of requirements engineering, architecture definition, interface management, integration, verification, validation, and traceability.
Technical experience in several of the following areas:
ROS or ROS 2
Robotics software
Perception and sensor fusion
Localization, mapping, and navigation
Motion or behaviour planning
Manipulation, locomotion, or whole-body controls
Artificial intelligence or machine learning
Simulation and virtual testing
Distributed or real-time software systems
Ability to understand and evaluate software behaviour without being the primary implementation owner for every component.
Experience defining measurable acceptance criteria for complex system behaviours.
Ability to investigate issues spanning algorithms, software, computing, networking, firmware, sensors, actuators, and physical robot behaviour.
Strong analytical, problem-solving, leadership, and technical communication skills.
Experience with humanoid robots, mobile robots, autonomous vehicles, industrial robotics, or similar systems.
Familiarity with ROS 2 topics, services, actions, quality-of-service policies, lifecycle management, TF, rosbag, and distributed execution.
Familiarity with C++, Python, Linux, Git, CI/CD, containers, and modern software development workflows.
Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, MATLAB/Simulink, or equivalent platforms.
Experience with SysML, model-based systems engineering, or software architecture modelling.
Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems.
Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Humanoid is seeking a highly driven and experienced Product Program Manager to join our Product Department. This critical role will lead the end-to-end development and delivery programme and relevant product-related projects for Humanoid's next-generation bipedal humanoid robot fleet solution – from Alpha prototype to production version, and from early adoption to mass deployment and further to different version obsolescence.
As the anchor for the development, launch and deployment process, you will drive cross-functional coordination across Product, Engineering, Operations, and Marketing teams to ensure that the solution is delivered on-time, on-cost, on-quality, and on-spec.
This is a highly collaborative role, requiring deep expertise in programme delivery and budget management across both technical and non-technical workstreams, as well as in product lifecycle for products that combine cutting edge hardware and software technologies. You will work closely with Engineering's Technical Program Managers (TPMs), who own the detailed technical execution of the mechanical, actuation, controls, perception and other AI systems that underpin safe and reliable bipedal locomotion, manipulation and interaction, to ensure their workstreams are integrated into the overall programme plan, as well as other key stakeholders. The ideal candidate will possess strong leadership skills, a structured delivery and product-oriented mindset, and the ability to operate confidently across a diverse stakeholder landscape.
Lead the full lifecycle programme management of the humanoid robot fleet solution development & deployment – from planning, design, prototyping, testing, manufacturing to launch, early to mass deployment, version update to obsolescence or repurposing.
Act as the central coordination point between Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance to align resources, schedules, and deliverables.
Develop and maintain programme plans, risk registers, dependency maps, and stage gates to ensure structured and transparent delivery.
Champion best-in-class governance, reporting, and communication processes to ensure all stakeholders remain informed and engaged.
Identify and mitigate programme risks and issues early to maintain momentum and resolve delivery challenges.
Support the Product Department in defining scope, prioritisation, and trade-off decisions throughout the development & deployment cycles.
Drive alignment between cross-functional teams and facilitate decision-making to unblock issues across technical and operational domains.
Own programme budget planning and management across development, testing, tooling, and deployment phases – building and maintaining the budget, tracking actual spend against plan, forecasting variances, managing change control on cost impacts, and reporting budget performance to senior stakeholders.
Partner with Engineering's Technical Program Managers (TPMs) to drive delivery of the bipedal locomotion, whole-body control, sensor integration, and safety/certification workstreams – ensuring their technical plans and test campaigns are reflected in the overall programme schedule and dependencies, with progress reported transparently to stakeholders. TPMs own the detailed technical execution and design decisions; this role owns the programme-level integration, sequencing, and accountability for outcomes.
Work with Engineering TPMs, Supply Chain, and Finance to manage the commercial, budget, and schedule aspects of supplier/partner relationships for critical bipedal subsystems (actuators, gearboxes, batteries, sensors), and to translate technical KPIs (e.g. locomotion performance, MTBF, production readiness) into programme-level cost, schedule, and quality reporting.
Bachelor’s degree or higher in Mechanical, Electrical, Mechatronics, Manufacturing, Industrial Design Engineering or a closely related technical discipline.
7+ years of experience in programme or project management roles within technology or product development environments, preferably in Robotics or Consumer electronics environments, having followed different stages of product lifecycles.
Formal project management qualification (PMP, PRINCE2, or equivalent).
Proven track record of successfully delivering complex, multi-disciplinary hardware and/or software product development programmes.
Strong experience in managing cross-functional teams spanning engineering, operations, manufacturing, finance, and supply chain.
Excellent communication, stakeholder management, and problem-solving skills.
Ability to work in a fast-paced and evolving environment, driving clarity and direction across multiple teams.
Experience owning or managing programme budgets for complex hardware/technology programmes, including cost tracking, forecasting, and reporting.
Experience partnering with technical/engineering leads (e.g. Technical Programme Managers) on complex hardware programmes – ideally including legged or bipedal robotics, or closely related fields such as locomotion research or actuator-driven mechatronic systems – with enough technical fluency (actuators, controls, sensors, robotics safety standards) to translate technical risk into programme impact and make informed scope and trade-off decisions, without requiring hands-on engineering ownership.
Nice to have:
Direct experience working on or managing a bipedal or legged humanoid robot programme, from prototype through to production and deployment.
Experience with mass-production ramp-up of complex robotic or mechatronic hardware, including supplier qualification and manufacturing scale-up.
Familiarity with simulation-to-real transfer, digital twin practices, or reinforcement-learning-based control as used in modern humanoid development.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As IT Operations & Cyber Lead, you will manage Humanoid’s corporate IT environment, ensuring it is secure, reliable, and scalable as the company grows.
This is a hands-on leadership role, combining responsibility for end-user computing, identity and access management, corporate networking, and cyber security operations.
You will partner closely with:
Engineering team, who manage product infrastructure (AWS, CI/CD, robotics environments);
ITSM Lead, who manages service process, management and support
The IT Director, to align on overall strategy, operational reliability, governance, and security maturity with business growth.
Own Humanoid’s corporate IT environment – covering endpoints, networks, identity, and security – ensuring reliability, scalability, and compliance.
Lead end-user computing and identity management, including device lifecycle, MDM, SSO/MFA, and access provisioning in partnership with ITSM.
Implement, operate and continually improve cyber defences across endpoints and SaaS platforms: vulnerability management, EDR/SIEM, and incident response.
Manage vendors and core infrastructure partners, ensuring cost-effective delivery, timely patching, and contract governance.
Maintain secure, high-performance connectivity for offices, labs, and remote users; coordinate with Engineering on network separation and integration.
Define and enforce IT and security standards, policies, and backup / recovery procedures that meet ISO 27001 / SOC 2 / GDPR expectations.
Monitor and report IT and security health, highlighting risks, incidents, and KPIs to the IT Director, and feed improvements into the IT roadmap.
Proven experience leading IT operations and cyber operations in high-growth or technology-driven organisations.
Hands-on expertise in:
Identity & Access Management (Google Workspace, Azure AD, Okta or similar)
Endpoint Management (Intune, Jamf, or similar)
Corporate Networking (LAN / Wi-Fi / VPN / firewalls)
Cyber Security Operations (EDR, SIEM, vulnerability management, incident response)
Demonstrated ability to define and enforce standards and processes that combine agility with control.
Strong vendor and stakeholder-management capability.
Excellent communication skills; able to bridge technical and non-technical audiences.
Comfortable in a start-up/scale-up environment — pragmatic, adaptable, and ownership-driven.
Desirable
Experience supporting ISO 27001 or SOC 2 certification efforts.
Experience automating IT workflows via scripting (PowerShell, Python, or equivalent).
Exposure to robotics, IoT, or AI product environments.
Knowledge of ITIL-based service processes.
Familiarity with secure development or DevSecOps concepts.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Prototype Engineer on the Core Platform team, you will rapidly iterate, assemble, diagnose, and evolve advanced robotic platforms for real-world use. In this hands-on role, you’ll drive results across the full hardware lifecycle—concepting, prototyping, root-cause analysis, documentation, and field repair—with a strong emphasis on reliability and repeatable processes.
Lead troubleshooting and resolution of complex electrical issues in prototype humanoid robots, including operational and in-development systems; perform detailed failure analysis and share learnings with hardware/software engineering teams.
Collaborate closely with multidisciplinary engineers on prototype design, assembly, and bring-up, especially high-density electromechanical integrations.
Create, maintain, and execute clear test procedures, troubleshooting guides, and repair runbooks for the prototyping lab to ensure high standards and rapid iteration cycles.
Design, document, and iterate on cable assemblies, test jigs, and harnesses optimized for repeated use on dynamic robotic platforms.
Identify and own opportunities for continuous process and product improvement minimizing downtime and improving test/repair efficiency.
Contribute to robust feedback loops across design, build, and test, driving first-pass yield and manufacturability.
Demonstrated experience in rapid physical prototyping, hands-on debug of custom hardware, and troubleshooting complex electrical systems in robotics or similar domains.
Working knowledge of low-voltage and mixed-signal circuits, connectors, sensors, and compact electromechanical systems.
Track record communicating concisely via documentation procedures, test plans, diagnostics, and lessons learned.
Adept collaborating across mechanical, electrical, and software engineering boundaries to solve urgent, ambiguous issues.
Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast.
Experience designing for manufacturability and reliability in the context of human-sized or mobile robotics.
Familiarity with automated test and diagnostic tools used in modern hardware labs.
Prior mentoring or technical leadership responsibility within a prototyping or field engineering team.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier: collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're looking for a Firmware Engineer to develop and maintain the embedded software behind the end effectors on our robots and the human-worn devices operators use to interface with them. This role combines firmware development with hardware integration you'll sit at the boundary between hardware and software, bringing up new PCB revisions, writing firmware and drivers, and integrating a wide range of sensors and compute platforms. You'll work closely with electrical and mechanical engineers in a high-paced environment where priorities shift fast and reliability matters.
Develop Embedded Firmware: Write and maintain firmware for embedded microcontrollers, covering sensor sampling, status indication, input handling and power management.
Integrate Sensors & Drivers: Integrate and write drivers for sensors, encoders, LCD screens, IMUs, ToF sensors, LiDARs and cameras, including MIPI and other interfaces.
Work Across Compute Platforms: Integrate device-level firmware with higher-level compute platforms such as ESP32, Raspberry Pi and NVIDIA Jetson, and similar Linux-based platforms.
Implement Communication Interfaces: Design and implement interfaces between hardware subsystems, including I2C, SPI, UART, Ethernet, USB, CAN, EtherCAT and MIPI.
Bring Up New Hardware: Review schematics, debug boards with an oscilloscope/logic analyzer, and resolve integration issues spanning firmware, electrical and mechanical.
Own Calibration & Fault Detection: Develop calibration routines, power-sequencing logic, and fault/status detection for sensors and mechatronic systems.
Support Component Selection: Help with component selection for sensors, MCUs and other hardware building blocks.
Maintain OTA Pipelines: Build and maintain OTA update and image provisioning pipelines for fleets of embedded devices.
Degree in Electrical/Computer Engineering, Computer Science, or a related field, with 4+ years' experience in embedded firmware development (C/C++).
Hands-on experience with microcontroller and compute platforms such as ESP32, STM32, Raspberry Pi and NVIDIA Jetson.
Experience integrating and/or writing drivers for sensors and peripherals — encoders, IMUs, ToF sensors, LiDARs, cameras and LCD/display modules.
Solid understanding of embedded communication and sensor interfaces: I2C, SPI, MIPI, UART, Ethernet/TCP-IP, USB, CAN and EtherCAT.
Comfortable bringing up and debugging new hardware revisions, with strong skills using an oscilloscope, logic analyzer and JTAG/SWD.
Experience developing calibration routines and supporting component selection alongside electrical and mechanical engineers.
Nice to have
FPGA experience
Experience with camera synchronisation or multi-sensor time-sync
Python skills for tooling, test scripts, or diagnostics
Experience working with formally defined hardware interfaces/contracts shared across teams
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Software Engineer to join our Control Team in London.
You will own how we measure control quality - per robot and across the fleet. Today, judging whether a change made the robot better is still too often an engineer's opinion after a few runs. You will replace that with numbers: reproducible, automated, trusted numbers that say whether a release is better than the last one, whether one robot behaves like another, and whether a fleet is ready for a pilot.
This is a software engineering role, not a control design role. You do not need to derive a whole-body controller. You do need real robotics experience, strong engineering discipline, and genuine interest in the physics of what you are measuring - the control engineers bring the theory and will rely on you to tell them the truth about their code.
Control Quality Metrics
Turn qualitative concerns about control quality - smoothness, latency, tracking error, accuracy, and the like - into precise, computable metrics, and build the pipelines that compute them consistently from recorded robot data, simulation runs and live telemetry.
Own metric definitions and versioning so a number measured today is comparable with the same number measured six months from now.
Evaluation & Test Infrastructure
Develop automated test harnesses that evaluate control releases deterministically - reproducible, run-to-run comparable, free of the hidden state that makes hardware testing unreliable.
Wire control evaluation into CI across simulation and hardware-in-the-loop, with pass/fail thresholds so regressions are caught automatically rather than discovered on a customer site.
Build the tooling that lets engineers compare controller variants and releases side by side.
Fleet-Level Control Quality
Build the per-robot and per-fleet test suites that establish whether each robot meets the expected control performance bar - runnable by other teams without controls support.
Track control quality over time and across units - drift, per-robot variation, degradation - and own the path from robot to metric, including the dashboards that make control health legible.
Robotics experience on real systems - you understand robot data, timing and synchronisation, and the many ways hardware experiments go wrong.
Strong Python, plus enough modern C++ to work confidently inside a real-time control codebase and instrument it.
Built test automation, evaluation frameworks or benchmarking infrastructure for complex systems - and got other engineers to actually use them.
Solid measurement and data analysis judgement: sampling, noise, statistical significance, and knowing when a difference between two runs is real.
Experience with robot middleware and data formats (ROS/ROS2, message recording and replay, time sync), CI/CD pipelines and Git-based workflows.
Nice to have:
Familiarity with robot kinematics and dynamics, or prior exposure to control systems — enough to hold an informed conversation about what you are measuring.
Hardware-in-the-loop test rigs and physical regression testing.
Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation.
Operating or supporting a fleet of robots or other distributed physical devices.
Data engineering: pipeline orchestration, time-series databases, large-scale log processing.
Release management or quality gates for safety-relevant software.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Humanoid's Core Platform Electrical team designs and releases the PCBs that power our humanoid robots — from sensor interface boards to power distribution and compute carrier cards. As we scale from prototype to production, keeping our Altium component library clean, consistent, and traceable has become mission-critical to design velocity and quality.
We're looking for an ECAD Librarian to own and grow our Altium Designer component library. You'll be the go-to owner for schematic symbols, footprints, and component data across our Boston, Vancouver and London EE teams, ensuring every part that goes into a design is accurate, manufacturable, and properly tracked from draft through production. This is a foundational role for a small, fast-moving hardware organization — your work directly reduces respin risk, rework, and time lost to bad footprints or duplicate parts.
Own the Altium component library. Create, validate, and maintain schematic symbols, PCB footprints, and 3D models for new components requested by EE designers in Boston and London.
Enforce library standards. Apply and evolve our standardized approach to symbol sizing, footprint conventions, reference designator (REFDES) schemes, and naming conventions for passives, ICs, and mechanical library items (per our library rules and guidance documentation).
Manage the component lifecycle. Administer part status workflow (Draft → Preliminary → Production) in Altium, ensuring only vetted, verified parts are promoted for use in active designs.
Component data integrity. Verify manufacturer part numbers, approved alternates, and Part Choices are correctly attached to library parts; keep footprint/pinout data accurate against datasheets to prevent field errors (e.g., mis-pinned footprints making it into fabricated boards).
Traceability & \"Where-Used.\" Support where-used traceability for components, symbols, and footprints so the team can quickly identify PCB exposure when an issue is found with a given part or footprint.
Cross-functional support. Work closely with EE designers across the #chapter-ee community to add, retire, and validate components on request, and communicate library changes that may affect in-flight designs.
PLM/ERP alignment. Support the ongoing effort to integrate Altium component data with our broader PLM system (Teamcenter) and part numbering scheme, working with the EE and supply chain teams.
Bulk library cleanup. Partner with engineering on periodic bulk edits and standardization passes across the existing library to reduce duplication and inconsistency.
Documentation. Keep library rules, statuses, and conventions current in Confluence so the standards are discoverable and followed consistently by all designers.
Hands-on experience with Altium Designer, including schematic library and PCB footprint creation (Altium 365 / Managed Components experience a plus).
Strong attention to detail — comfortable cross-referencing datasheets, verifying pin counts, pad geometry, and package dimensions before a part goes into a design.
Familiarity with component lifecycle/PLM concepts (draft/preliminary/released states, where-used traceability) and how they connect to manufacturing quality.
Understanding of standard component conventions: reference designator schemes, tolerances (e.g., 1% resistors, 10% capacitors), automotive/AEC-Q200 grading where relevant, and approved manufacturer/supplier alternates.
Comfortable working across a distributed EE team (Boston and London) and prioritizing incoming library requests.
Bonus: experience with Teamcenter or another PLM system, or prior exposure to integrating ECAD libraries with enterprise PLM/ERP.
Bonus: experience in a hardware startup or fast-scaling engineering org where library hygiene had to be built from the ground up.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $100K–$140K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nHumanoid's Core Platform Electrical team designs and releases the PCBs that power our humanoid robots — from sensor interface boards to power distribution and compute carrier cards. As we scale from prototype to production, keeping our Altium component library clean, consistent, and traceable has become mission-critical to design velocity and quality.\n\nWe're looking for an ECAD Librarian to own and grow our Altium Designer component library. You'll be the go-to owner for schematic symbols, footprints, and component data across our Boston, Vancouver and London EE teams, ensuring every part that goes into a design is accurate, manufacturable, and properly tracked from draft through production. This is a foundational role for a small, fast-moving hardware organization — your work directly reduces respin risk, rework, and time lost to bad footprints or duplicate parts.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the Altium component library. Create, validate, and maintain schematic symbols, PCB footprints, and 3D models for new components requested by EE designers in Boston and London.\n\n - Enforce library standards. Apply and evolve our standardized approach to symbol sizing, footprint conventions, reference designator (REFDES) schemes, and naming conventions for passives, ICs, and mechanical library items (per our library rules and guidance documentation).\n\n - Manage the component lifecycle. Administer part status workflow (Draft → Preliminary → Production) in Altium, ensuring only vetted, verified parts are promoted for use in active designs.\n\n - Component data integrity. Verify manufacturer part numbers, approved alternates, and Part Choices are correctly attached to library parts; keep footprint/pinout data accurate against datasheets to prevent field errors (e.g., mis-pinned footprints making it into fabricated boards).\n\n - Traceability & \"Where-Used.\" Support where-used traceability for components, symbols, and footprints so the team can quickly identify PCB exposure when an issue is found with a given part or footprint.\n\n - Cross-functional support. Work closely with EE designers across the #chapter-ee community to add, retire, and validate components on request, and communicate library changes that may affect in-flight designs.\n\n - PLM/ERP alignment. Support the ongoing effort to integrate Altium component data with our broader PLM system (Teamcenter) and part numbering scheme, working with the EE and supply chain teams.\n\n - Bulk library cleanup. Partner with engineering on periodic bulk edits and standardization passes across the existing library to reduce duplication and inconsistency.\n\n - Documentation. Keep library rules, statuses, and conventions current in Confluence so the standards are discoverable and followed consistently by all designers.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Hands-on experience with Altium Designer, including schematic library and PCB footprint creation (Altium 365 / Managed Components experience a plus).\n\n - Strong attention to detail — comfortable cross-referencing datasheets, verifying pin counts, pad geometry, and package dimensions before a part goes into a design.\n\n - Familiarity with component lifecycle/PLM concepts (draft/preliminary/released states, where-used traceability) and how they connect to manufacturing quality.\n\n - Understanding of standard component conventions: reference designator schemes, tolerances (e.g., 1% resistors, 10% capacitors), automotive/AEC-Q200 grading where relevant, and approved manufacturer/supplier alternates.\n\n - Comfortable working across a distributed EE team (Boston and London) and prioritizing incoming library requests.\n\n - Bonus: experience with Teamcenter or another PLM system, or prior exposure to integrating ECAD libraries with enterprise PLM/ERP.\n\n - Bonus: experience in a hardware startup or fast-scaling engineering org where library hygiene had to be built from the ground up.\n \n \n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in Massachusetts, the expected base salary range is $100K–$140K USD per year; your placement in that range depends on how your experience maps to our internal leveling.\n\n"},{"id":"f8b5f6e7-258c-4220-81f7-f25073bd85d3","title":"Senior Firmware and Embedded Software Engineer","department":"Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"Canada, Vancouver, BC","secondaryLocations":[],"publishedAt":"2026-10-14T17:26:17.727+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"V5H 0H5","addressRegion":"BC","streetAddress":"Unit #3-150, 6060 Silver Dr","addressCountry":"Canada","addressLocality":"Burnaby"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/f8b5f6e7-258c-4220-81f7-f25073bd85d3","applyUrl":"https://jobs.ashbyhq.com/humanoid/f8b5f6e7-258c-4220-81f7-f25073bd85d3/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots.
You will own the development of embedded software for critical robotic subsystems, including motion control, sensor interfaces, communication networks, and hardware abstraction layers that enable reliable and safe robotic operation.
This role requires strong fundamentals in embedded programming, distributed hard real-time systems, and hardware-software integration, along with experience building robust software for complex electromechanical systems.
You will collaborate closely with mechanical, electrical, and robotics engineers to rapidly prototype, test, and deploy embedded software that powers our robotic platforms.
Your work will directly influence the performance, reliability, and responsiveness of Humanoid’s robots.
Design and develop embedded systems that control humanoid robots in real time safely
Solve challenging problems in low-latency motion control, distributed embedded networks, and high-reliability robotic systems with various communication protocols
Work in a fast-moving hardware environment where software directly interacts with physical machines
Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and AI
See your code deployed in real robots operating in real-world environments.
Develop and implement embedded software for robotic systems, emphasizing hard real-time performance and reliability as well as safety
Integrate and optimize hardware and software components, including sensors, actuators, and communication modules
Analyze and make recommendations on implementation paths with trade-offs
Write and debug firmware for microcontrollers, FPGAs, ASICs, and SoCs
Implement and manage communication protocols such as EtherCAT, CAN, UART, SPI, and I2C
Collaborate closely with mechanical and electrical engineers to ensure seamless system integration
Perform hardware testing, validation, and troubleshooting of embedded systems
Analyze system constraints and resource limitations to optimize performance and efficiency
Develop low-level drivers and interfaces for sensors, motors, and control electronics
Maintain clear documentation of system architecture, code, and test results for traceability and maintainability
Own embedded software components from concept through testing and deployment.
5+ years of professional experience developing embedded software or firmware for robotics, embedded systems, or real-time hardware platforms
Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field
Strong proficiency in C and C++, with experience using Python for testing or tooling
Solid understanding of embedded systems architecture and hardware-software interfaces
Experience with real-time operating systems (RTOS)
Experience working with communication protocols such as EtherNet, EtherCAT, CAN, SPI, UART, or I2C
Experience integrating sensors, actuators, and motor control systems
Familiarity with debugging tools such as oscilloscopes, logic analyzers, and in-circuit debuggers
Strong analytical and problem-solving skills
Ability to work effectively in a fast-paced multidisciplinary engineering environment.
Experience working with robotics frameworks such as ROS or ROS2
Hands-on experience with FPGA or SoC development
Experience developing distributed robotic control systems
Familiarity with agile development methodologies
Experience with EtherCAT-based motor drivers and real-time control networks
Experience developing safety-critical or high-reliability embedded systems.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $140,000 – $180,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots.\n\nYou will own the development of embedded software for critical robotic subsystems, including motion control, sensor interfaces, communication networks, and hardware abstraction layers that enable reliable and safe robotic operation.\n\nThis role requires strong fundamentals in embedded programming, distributed hard real-time systems, and hardware-software integration, along with experience building robust software for complex electromechanical systems.\n\nYou will collaborate closely with mechanical, electrical, and robotics engineers to rapidly prototype, test, and deploy embedded software that powers our robotic platforms.\n\nYour work will directly influence the performance, reliability, and responsiveness of Humanoid’s robots.\n\n \n\n\nWHAT MAKES THIS ROLE EXCITING\n\n - Design and develop embedded systems that control humanoid robots in real time safely\n\n - Solve challenging problems in low-latency motion control, distributed embedded networks, and high-reliability robotic systems with various communication protocols\n\n - Work in a fast-moving hardware environment where software directly interacts with physical machines\n\n - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and AI\n\n - See your code deployed in real robots operating in real-world environments.\n\n\n\n\nWHAT YOU’LL DO\n\n - Develop and implement embedded software for robotic systems, emphasizing hard real-time performance and reliability as well as safety\n\n - Integrate and optimize hardware and software components, including sensors, actuators, and communication modules\n\n - Analyze and make recommendations on implementation paths with trade-offs\n\n - Write and debug firmware for microcontrollers, FPGAs, ASICs, and SoCs\n\n - Implement and manage communication protocols such as EtherCAT, CAN, UART, SPI, and I2C\n\n - Collaborate closely with mechanical and electrical engineers to ensure seamless system integration\n\n - Perform hardware testing, validation, and troubleshooting of embedded systems\n\n - Analyze system constraints and resource limitations to optimize performance and efficiency\n\n - Develop low-level drivers and interfaces for sensors, motors, and control electronics\n\n - Maintain clear documentation of system architecture, code, and test results for traceability and maintainability\n\n - Own embedded software components from concept through testing and deployment.\n\n\n\n\nWE’RE LOOKING FOR\n\n - 5+ years of professional experience developing embedded software or firmware for robotics, embedded systems, or real-time hardware platforms\n\n - Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field\n\n - Strong proficiency in C and C++, with experience using Python for testing or tooling\n\n - Solid understanding of embedded systems architecture and hardware-software interfaces\n\n - Experience with real-time operating systems (RTOS)\n\n - Experience working with communication protocols such as EtherNet, EtherCAT, CAN, SPI, UART, or I2C\n\n - Experience integrating sensors, actuators, and motor control systems\n\n - Familiarity with debugging tools such as oscilloscopes, logic analyzers, and in-circuit debuggers\n\n - Strong analytical and problem-solving skills\n\n - Ability to work effectively in a fast-paced multidisciplinary engineering environment.\n\n\n\n\nBONUS QUALIFICATIONS\n\n - Experience working with robotics frameworks such as ROS or ROS2\n\n - Hands-on experience with FPGA or SoC development\n\n - Experience developing distributed robotic control systems\n\n - Familiarity with agile development methodologies\n\n - Experience with EtherCAT-based motor drivers and real-time control networks\n\n - Experience developing safety-critical or high-reliability embedded systems.\n\n \n\n\nWHAT WE OFFER\n\n - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.\n\n - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.\n\n - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\n\n\nFor this role in Vancouver, the expected base salary range is $140,000 – $180,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"c3ced2cd-db68-440e-8a66-fb204051efe2","title":"Technical Program Manager","department":"Engineering","team":"Project Management","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-22T12:33:58.365+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/c3ced2cd-db68-440e-8a66-fb204051efe2","applyUrl":"https://jobs.ashbyhq.com/humanoid/c3ced2cd-db68-440e-8a66-fb204051efe2/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are building a world-class robotics organisation across London, Vancouver and Boston to solve some of the hardest problems in humanoid robotics, including integrating complex hardware, embedded systems, AI, and large-scale robotic platforms into cohesive, production-ready systems.
If you are excited about driving large-scale, cross-functional robotics programs from concept to real-world deployment, then we're keen to hear from you.
About the role (Intro):
As a Technical Program Manager at Humanoid, you will own the planning and execution of complex robotics development projects, ensuring predictable delivery of our highly integrated humanoid systems and our roadmap of capabilities for deployment at customer sites. You will lead cross-functional development with an emphasis on software/AI on new hardware, coordinating closely with our teams in Boston, Vancouver, and San Diego.
This is a high-impact role requiring strong technical judgment, systems thinking, and the ability to drive execution across deeply interdependent teams.
Establish processes that work
The nature, method, and velocity of software development is changing fast. Yet the iron triangle of project management (scope, schedule, budget) remains. The TPM must apply, build, and evolve processes and tools to manage this.
What Makes This Role Exciting
Drive execution of next-generation humanoid robot programs from concept to deployment
Work at the intersection of hardware, embedded systems, AI, robotics, and production
Coordinate globally distributed engineering teams spanning multiple time zones
Tackle the complex challenges of scaling robotics systems into products that work in the real world
What you'll own:
Own the end-to-end planning and execution of a portfolio of projects in a robot new product introduction program, where you'll be accountable for scope, schedule, cost, and process. Your portfolio includes software and hardware projects, all of which are deeply cross-functional, spanning Systems, Safety, Mechanical, Electrical, Firmware, Software, AI/ML, DFX, Regulatory, Integration, Test, Supply Chain, Design, Product, Marketing, Logistics, and more.
Drive execution
Track and motivate project progress end-to-end, coordinating across many teams, sites, and suppliers to predictably execute the plan. Proactively anticipate risks, put mitigation plans in place, and manage them actively. Urgently identify, prioritise, and clear blockers.
Lead people and stakeholders
Empathise with, partner with, negotiate with, and manage stakeholders, using tactful and effective approaches to build alignment and secure commitments. Establish efficient, clear, and timely program communication, tailored to your audience and optimised for the real challenges of collaborating across distances, cultures, and time zones.
Bring judgment
Based on situational awareness, operate fluidly between the strategic and the detailed. Apply systems thinking, perspective, and technical judgment to bring clarity, prioritisation, and guidance to your teams.
Embody the culture
Roll up your sleeves and enthusiastically pitch in wherever it's needed for the program's success at Humanoid because we're all in this together. Never settle for the status quo and play a key role in proactively improving our practices. Demonstrate through your actions how you contribute to the team's success, building strong, enduring influence across the program team and its stakeholders.
What we're looking for from you:
3+ years of relevant post-graduate experience as a project or program manager for development of leading-edge software product development
Bachelor's or Master's degree in a technical field relevant to software, AI, or robotics
Technical background in development of complex systems that integrate new hardware, firmware, and software
Experienced in modern tech software development processes and tools
Exposure to hardware development and new product introduction
Proficiency with multiple program management methodologies and tools
Proven ability to create structure and clarity in ambiguous, fast-paced environments, managing influential stakeholders
Strong organisational skills with the ability to manage multiple complex workstreams simultaneously
Impressive written and verbal communication skills, both synchronous and asynchronous
Demonstrated ability to lead through influence across diverse teams
Ability to remain calm, structured, and effective under pressure, including with executive stakeholders
Strong ability to understand and communicate complex technical concepts
Systems-thinking mindset with strong problem-solving capabilities
Adept applying AI to project management and development workflows
Flexibility to shift hours as needed to collaborate with our international team
Bonus Qualifications
Experience in robotics, autonomous systems, or advanced hardware companies
Experience in production development
Experience working in speed-focused startup environments
Experience across end-to-end lifecycle, from R&D to production
Experience working with globally distributed teams
Why Join Humanoid
Competitive salary plus participation in our Stock Option Plan
Collaboration with top-tier engineers, researchers, and product experts in AI and robotics
Freedom to influence the product and own key initiatives
Ability to solve some of the most complex engineering challenges in robotics for the real world
Meaningful time off to rest and recharge: 23 days of annual leave, plus bank holidays and concessionary days over the Christmas period.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support
Free daily catered lunch, snacks, and drinks in-office
How to Apply
Does this role sound like the perfect fit for you? If it does, then please apply here, complete the application process and we'll be in touch soon!
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\nWe are building a world-class robotics organisation across London, Vancouver and Boston to solve some of the hardest problems in humanoid robotics, including integrating complex hardware, embedded systems, AI, and large-scale robotic platforms into cohesive, production-ready systems.\n\nIf you are excited about driving large-scale, cross-functional robotics programs from concept to real-world deployment, then we're keen to hear from you.\n\nAbout the role (Intro):\n\nAs a Technical Program Manager at Humanoid, you will own the planning and execution of complex robotics development projects, ensuring predictable delivery of our highly integrated humanoid systems and our roadmap of capabilities for deployment at customer sites. You will lead cross-functional development with an emphasis on software/AI on new hardware, coordinating closely with our teams in Boston, Vancouver, and San Diego.\n\nThis is a high-impact role requiring strong technical judgment, systems thinking, and the ability to drive execution across deeply interdependent teams.\n\nEstablish processes that work\n\nThe nature, method, and velocity of software development is changing fast. Yet the iron triangle of project management (scope, schedule, budget) remains. The TPM must apply, build, and evolve processes and tools to manage this.\n\nWhat Makes This Role Exciting\n\n - Drive execution of next-generation humanoid robot programs from concept to deployment\n\n - Work at the intersection of hardware, embedded systems, AI, robotics, and production\n\n - Coordinate globally distributed engineering teams spanning multiple time zones\n\n - Tackle the complex challenges of scaling robotics systems into products that work in the real world\n\nWhat you'll own:\n\nOwn the end-to-end planning and execution of a portfolio of projects in a robot new product introduction program, where you'll be accountable for scope, schedule, cost, and process. Your portfolio includes software and hardware projects, all of which are deeply cross-functional, spanning Systems, Safety, Mechanical, Electrical, Firmware, Software, AI/ML, DFX, Regulatory, Integration, Test, Supply Chain, Design, Product, Marketing, Logistics, and more.\n\nDrive execution\n\nTrack and motivate project progress end-to-end, coordinating across many teams, sites, and suppliers to predictably execute the plan. Proactively anticipate risks, put mitigation plans in place, and manage them actively. Urgently identify, prioritise, and clear blockers.\n\nLead people and stakeholders\n\nEmpathise with, partner with, negotiate with, and manage stakeholders, using tactful and effective approaches to build alignment and secure commitments. Establish efficient, clear, and timely program communication, tailored to your audience and optimised for the real challenges of collaborating across distances, cultures, and time zones.\n\nBring judgment\n\nBased on situational awareness, operate fluidly between the strategic and the detailed. Apply systems thinking, perspective, and technical judgment to bring clarity, prioritisation, and guidance to your teams.\n\nEmbody the culture\n\nRoll up your sleeves and enthusiastically pitch in wherever it's needed for the program's success at Humanoid because we're all in this together. Never settle for the status quo and play a key role in proactively improving our practices. Demonstrate through your actions how you contribute to the team's success, building strong, enduring influence across the program team and its stakeholders.\n\nWhat we're looking for from you:\n\n - 3+ years of relevant post-graduate experience as a project or program manager for development of leading-edge software product development\n\n - Bachelor's or Master's degree in a technical field relevant to software, AI, or robotics\n\n - Technical background in development of complex systems that integrate new hardware, firmware, and software\n\n - Experienced in modern tech software development processes and tools\n\n - Exposure to hardware development and new product introduction\n\n - Proficiency with multiple program management methodologies and tools\n\n - Proven ability to create structure and clarity in ambiguous, fast-paced environments, managing influential stakeholders\n\n - Strong organisational skills with the ability to manage multiple complex workstreams simultaneously\n\n - Impressive written and verbal communication skills, both synchronous and asynchronous\n\n - Demonstrated ability to lead through influence across diverse teams\n\n - Ability to remain calm, structured, and effective under pressure, including with executive stakeholders\n\n - Strong ability to understand and communicate complex technical concepts\n\n - Systems-thinking mindset with strong problem-solving capabilities\n\n - Adept applying AI to project management and development workflows\n\n - Flexibility to shift hours as needed to collaborate with our international team\n\nBonus Qualifications\n\n - Experience in robotics, autonomous systems, or advanced hardware companies\n\n - Experience in production development\n\n - Experience working in speed-focused startup environments\n\n - Experience across end-to-end lifecycle, from R&D to production\n\n - Experience working with globally distributed teams\n\nWhy Join Humanoid\n\n - Competitive salary plus participation in our Stock Option Plan\n\n - Collaboration with top-tier engineers, researchers, and product experts in AI and robotics\n\n - Freedom to influence the product and own key initiatives\n\n - Ability to solve some of the most complex engineering challenges in robotics for the real world\n\n - Meaningful time off to rest and recharge: 23 days of annual leave, plus bank holidays and concessionary days over the Christmas period.\n\n - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support\n\n - Free daily catered lunch, snacks, and drinks in-office\n\nHow to Apply\n\nDoes this role sound like the perfect fit for you? If it does, then please apply here, complete the application process and we'll be in touch soon!"},{"id":"a13e930c-3771-4146-b836-c76ad1211361","title":"Technical Program Manager (Hardware)","department":"Engineering","team":"Project Management","employmentType":"FullTime","location":"US, Boston, MA","secondaryLocations":[],"publishedAt":"2026-08-21T16:22:34.193+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"1 Broadway","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/a13e930c-3771-4146-b836-c76ad1211361","applyUrl":"https://jobs.ashbyhq.com/humanoid/a13e930c-3771-4146-b836-c76ad1211361/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Technical Program Manager at Humanoid, you will own the planning and execution of complex robotics development programs, ensuring predictable delivery of our next-generation humanoid systems.
You will lead cross-functional development across hardware and software, coordinating efforts across Boston, Vancouver, and London to deliver highly integrated robotic platforms.
This is a high-impact role requiring strong technical judgment, systems thinking, and the ability to drive execution across deeply interdependent teams.
What Makes This Role Exciting
Drive execution of next-generation humanoid robot programs from concept to deployment
Work at the intersection of hardware, embedded systems, AI, and robotics
Coordinate globally distributed engineering teams spanning multiple time zones
Tackle the complex challenges of scaling robotics systems into products that work in the real world
Play a critical role in delivering robots that operate in real environments, at scale
Own the end-to-end planning and execution of a portfolio of projects in a robot new product introduction program, where you’ll be accountable for scope, schedule, cost, and process. While your projects center on development of a hardware platform, it is deeply cross-functional, spanning Systems, Safety, Mechanical, Electrical, Firmware, Software, AI/ML, DFX, Regulatory, Integration, Test, Supply Chain, Design, Product, Marketing, Logistics, and more.
Drive execution
Track and motivate program and project progress end-to-end, coordinating across many teams and sites and suppliers to predictably execute the plan. Proactively anticipate risks, put mitigation plans in place, and manage them actively. Urgently identify, prioritize, and clear blockers.
Lead people and stakeholders
Empathize with, partner with, negotiate with, and manage stakeholders, using tactful and effective approaches to build alignment and secure commitments. Establish efficient, clear, and timely program communication, tailored to your audience and optimized for the real challenges of collaborating across distances, cultures, and time zones.
Bring judgment
Based on situational awareness, operate fluidly between the strategic and the detailed. Apply systems thinking, perspective, and technical judgment to bring clarity, prioritization, and guidance to your teams.
Embody the culture
Roll up your sleeves and enthusiastically pitch in wherever it's needed for the program's success — at Humanoid, we're all in this together. Never settle for the status quo; continually improve our practices. Demonstrate through your actions how you contribute to the team's success, building strong, enduring influence across the program team and its stakeholders.
3+ years of relevant post-graduate experience as a project or program manager leading hardware new product development
Bachelor’s or Master’s degree in a technical field relevant to robotics or engineering
Technical background in development of complex systems integrating hardware, firmware, and software
Strong understanding of mechanical and hardware development processes for scalable manufacturing
Experience working in highly cross-functional engineering environments
Proficiency with multiple program management methodologies and tools
Proven ability to create structure and clarity in ambiguous, fast-paced environments
Strong organizational skills with the ability to manage multiple complex workstreams simultaneously
Excellent written and verbal communication skills, both synchronous and asynchronous
Demonstrated ability to lead through influence across diverse teams
Ability to remain calm, structured, and effective under pressure, including with executive stakeholders
Strong ability to understand and communicate complex technical concepts
Systems-thinking mindset with strong problem-solving capabilities
Willingness to work early hours as needed to collaborate with teams in London
Experience in robotics, autonomous systems, or advanced hardware companies
Experience working in speed-focused startup environments
Experience with end-to-end lifecycle including integration
Experience working with globally distributed teams
Exposure to manufacturing, supply chain, or production ramp environments
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $120K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs a Technical Program Manager at Humanoid, you will own the planning and execution of complex robotics development programs, ensuring predictable delivery of our next-generation humanoid systems.\n\nYou will lead cross-functional development across hardware and software, coordinating efforts across Boston, Vancouver, and London to deliver highly integrated robotic platforms.\n\nThis is a high-impact role requiring strong technical judgment, systems thinking, and the ability to drive execution across deeply interdependent teams.\n\nWhat Makes This Role Exciting\n\n - Drive execution of next-generation humanoid robot programs from concept to deployment\n\n - Work at the intersection of hardware, embedded systems, AI, and robotics\n\n - Coordinate globally distributed engineering teams spanning multiple time zones\n\n - Tackle the complex challenges of scaling robotics systems into products that work in the real world\n\n - Play a critical role in delivering robots that operate in real environments, at scale\n\n\n\n\nWHAT YOU'LL DO\n\nOwn the end-to-end planning and execution of a portfolio of projects in a robot new product introduction program, where you’ll be accountable for scope, schedule, cost, and process. While your projects center on development of a hardware platform, it is deeply cross-functional, spanning Systems, Safety, Mechanical, Electrical, Firmware, Software, AI/ML, DFX, Regulatory, Integration, Test, Supply Chain, Design, Product, Marketing, Logistics, and more.\n\nDrive execution\n\nTrack and motivate program and project progress end-to-end, coordinating across many teams and sites and suppliers to predictably execute the plan. Proactively anticipate risks, put mitigation plans in place, and manage them actively. Urgently identify, prioritize, and clear blockers.\n\nLead people and stakeholders\n\nEmpathize with, partner with, negotiate with, and manage stakeholders, using tactful and effective approaches to build alignment and secure commitments. Establish efficient, clear, and timely program communication, tailored to your audience and optimized for the real challenges of collaborating across distances, cultures, and time zones.\n\nBring judgment\n\nBased on situational awareness, operate fluidly between the strategic and the detailed. Apply systems thinking, perspective, and technical judgment to bring clarity, prioritization, and guidance to your teams.\n\nEmbody the culture\n\nRoll up your sleeves and enthusiastically pitch in wherever it's needed for the program's success — at Humanoid, we're all in this together. Never settle for the status quo; continually improve our practices. Demonstrate through your actions how you contribute to the team's success, building strong, enduring influence across the program team and its stakeholders.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3+ years of relevant post-graduate experience as a project or program manager leading hardware new product development\n\n - Bachelor’s or Master’s degree in a technical field relevant to robotics or engineering\n\n - Technical background in development of complex systems integrating hardware, firmware, and software\n\n - Strong understanding of mechanical and hardware development processes for scalable manufacturing\n\n - Experience working in highly cross-functional engineering environments\n\n - Proficiency with multiple program management methodologies and tools\n\n - Proven ability to create structure and clarity in ambiguous, fast-paced environments\n\n - Strong organizational skills with the ability to manage multiple complex workstreams simultaneously\n\n - Excellent written and verbal communication skills, both synchronous and asynchronous\n\n - Demonstrated ability to lead through influence across diverse teams\n\n - Ability to remain calm, structured, and effective under pressure, including with executive stakeholders\n\n - Strong ability to understand and communicate complex technical concepts\n\n - Systems-thinking mindset with strong problem-solving capabilities\n\n - Willingness to work early hours as needed to collaborate with teams in London\n\n\nBONUS QUALIFICATIONS\n\n - Experience in robotics, autonomous systems, or advanced hardware companies\n\n - Experience working in speed-focused startup environments\n\n - Experience with end-to-end lifecycle including integration\n\n - Experience working with globally distributed teams\n\n - Exposure to manufacturing, supply chain, or production ramp environments\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\n\n\nFor this role in Massachusetts, the expected base salary range is $120K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"adc5c5f7-abbd-4e15-b417-f36c1fca6ff9","title":"Prototype Engineer","department":"Engineering","team":"Hardware Engineering","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-08-17T18:51:55.978+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/adc5c5f7-abbd-4e15-b417-f36c1fca6ff9","applyUrl":"https://jobs.ashbyhq.com/humanoid/adc5c5f7-abbd-4e15-b417-f36c1fca6ff9/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're looking for a hands-on Prototype Engineer to build, assemble and maintain hardware prototypes for the end effectors on our robots and the human-worn devices operators use to interface with them. You'll run our prototyping shop, build and maintain test rigs, and support hardware testing and trial sessions — turning CAD files and BOMs into working units, fast. This is a high-paced environment where turnaround is tight and your work directly shapes what the design team builds next.
Build Prototype Hardware: Build, assemble and maintain prototype hardware from CAD/BOM through to working units.
Operate Workshop Equipment: Operate 3D printers, CNC and general workshop tools to produce prototype parts quickly and to spec.
Prototype with MCUs: Quickly wire up and prototype with MCU platforms such as ESP32 and Raspberry Pi to support test rigs and hardware validation.
Build & Run Test Rigs: Build, set up and run test rigs and validation jigs for durability, calibration and functional testing.
Support Hardware Testing: Support hardware testing, internal trials and demo sessions, providing hands-on troubleshooting and repair.
Turn Around Fast: Deliver prototype builds within tight timelines to keep pace with rapid design-iteration cycles.
Manage the Shop: Maintain an organised prototyping shop and parts inventory, including fasteners, connectors and components.
Feed Back to Design: Document build issues and feed practical build, assembly and serviceability feedback directly into design decisions.
Background in mechanical/mechatronic engineering, technician training, or equivalent hands-on hardware experience, with 2-4 years' experience prototyping physical hardware or robotics products.
Practical skills with 3D printing, hand tools, basic machining, soldering and cable/harness assembly.
Ability to prototype quickly with MCU platforms (e.g. ESP32, Raspberry Pi and similar), plus basic breadboarding and circuit assembly skills.
Comfortable reading CAD drawings and BOMs and translating them into a physical build; any level of CAD design capability is a plus.
Experience building test rigs and supporting hardware testing, trials or demos of prototype hardware.
A practical, get-it-working mindset with good organisational habits, comfortable in a high-paced, iterative environment.
Nice to have
Any level of CAD design capability — not just reading drawings, but creating or modifying simple parts/fixtures
Basic electronics debugging skills (multimeter, continuity checks, simple rework)
Experience assembling wearable or compact electromechanical devices
Experience in a robotics or hardware startup lab environment
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're looking for a Senior Mechanical Engineer to design and iterate end effectors for our robots and the human-worn devices operators use to interface with them. You'll own mechanisms and assemblies end to end — from concept and CAD through to manufacturing drawings and production hand-off — working closely with electrical, firmware and prototyping engineers. This is a hands-on role where you'll balance rapid iteration with rigorous engineering fundamentals, in a high-paced environment where designs evolve quickly and priorities shift fast.
What you'll do
Own Mechanical Design: Design mechanical components, assemblies and enclosures end-to-end using 3D CAD (Siemens NX), from concept through to manufacturing-ready drawings.
Integrate Mechatronic Systems: Integrate cameras, sensors, PCBAs and other mechatronic devices into mechanical assemblies, working closely with electrical and firmware engineers.
Balance Design Trade-offs: Weigh weight, durability, ergonomics and manufacturability requirements to arrive at the right solution for each design.
Select Materials & Processes: Choose appropriate materials and manufacturing processes, including 3D printing, CNC machining, sheet metal and injection moulding.
Prototype & Iterate: Rapidly prototype and refine designs based on testing, trials and feedback from engineering and customers.
Engage with Customers: Work directly with customers to develop requirements and test plans that shape design decisions.
Apply DFM/DFA: Apply design-for-manufacture and design-for-assembly principles as designs move from prototype to production.
Support Validation: Plan and support mechanical validation and testing, including structural, environmental and durability testing.
What we're looking for
Degree in Mechanical Engineering, Mechatronics, or a related discipline, with 5+ years' experience in mechanical design for robotics, hardware, or complex electromechanical products.
Proficiency in 3D CAD (Siemens NX preferred, or strong willingness to learn), including GD&T and tolerance stack-up analysis.
Experience designing for 3D printing, CNC machining, injection moulding and sheet metal, with hands-on rapid prototyping experience.
Experience integrating electromechanical assemblies — cameras, sensors, PCBAs, connectors, cable routing and enclosures.
Experience working with customers or stakeholders to develop requirements and test plans.
Practical understanding of DFM/DFA principles and comfort working iteratively in a high-paced engineering environment.
Nice to have
FEA/simulation experience for stress, fatigue or thermal analysis
Experience designing wearable or human-worn hardware
Exposure to small-batch or production manufacturing hand-off
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Controls Engineer to join our Control Team in Boston.
You will own how we know our controls stack works: the testing and validation infrastructure that turns \"it looked fine on the robot\" into measured, reproducible evaluation, the observability and failure analysis that makes runtime behaviour visible and failures shareable, and the documentation and runbooks that let the team self-serve without institutional knowledge. You will also strongly contribute to first-time bring-up of new hardware for Boston components and validate changes end-to-end on real robots before the wider team depends on them.
The ideal candidate has strong control fundamentals, solid software engineering discipline across the stack - from control code to test harnesses to diagnostic tooling - and the debugging instincts that only come from real hardware. You will work across the whole control stack and be the person the team relies on to tell them the truth about their code.
Testing & Validation Infrastructure:
Build and own hardware-in-the-loop (HIL) and integration test workflows that quantify controller and motion repeatability and accuracy - turning \"it looked fine on the robot\" into measured, reproducible evaluation.
Define and implement repeatability and accuracy metrics for controller and motion changes, and the harnesses that make those measurements consistent across runs and across robots.
Expand unit and integration test coverage across the controls components the team actually runs - actuator drivers, hardware interfaces, whole-body control, and the teleoperation pipeline.
Develop automated regression checks that surface controls regressions - in accuracy, repeatability, or behaviour - in simulation and on hardware before they reach the wider team.
Work with controls engineers to define testability requirements for new components and algorithms, so things are built to be evaluated and validated.
Package controllers into cleanly separable, reusable, and easily testable interfaces - so individual controllers can be developed, swapped, and validated in isolation.
New Hardware Bring-Up & Integration:
Strongly contribute to first-time bring-up of new hardware for Boston components, and to their integration into the controls stack.
Validate hardware and software changes end-to-end on real robots before broader team use - structured, documented, and repeatable.
Debugging, Observability & Failure Analysis:
Instrument the controls stack to improve visibility into runtime behaviour - logging, tracing, and diagnostic tooling.
Reproduce hardware and software failures in structured, developer-shareable formats; feed structured root-cause context back to algorithm and hardware owners.
Identify and resolve cross-stack failure modes that span controls, firmware, and hardware.
Documentation & Knowledge Transfer:
Write and maintain engineering documentation for the controls stack: HIL and test coverage, and bring-up/integration guides for new hardware.
Own runbooks that let controls engineers self-serve validation, integration, and recovery without relying on institutional knowledge.
Substantial hands-on robotics experience on real hardware.
Strong control theory foundation (joint-space control, PID and feedforward, impedance/admittance, observers, state estimation, filtering, stability) — enough to define meaningful repeatability and accuracy metrics for a control stack and interpret what they say.
Shipped software across the stack: modern C++ inside a real-time control codebase, plus Python for test harnesses, analysis and tooling.
Built test automation, HIL or integration-test infrastructure for complex physical systems — and got other engineers to actually use it.
Solid measurement and data analysis judgement: sampling, timing and synchronisation, noise, statistical significance, and knowing when a difference between two runs is real.
Strong debugging across software/firmware/hardware boundaries, with the discipline to reproduce failures in a form other engineers can act on.
Nice to have:
Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation.
Observability tooling: logging and tracing frameworks, metrics collection, time-series databases, dashboarding (e.g. Grafana).
First-time hardware bring-up experience: new actuators, sensors or compute targets integrated into a control stack.
A track record of engineering documentation and runbooks that outlived their author.
Release management or quality gates for safety-relevant software.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We’re looking for a Senior HR Operations Manager to play a key role in building and scaling the HR operations that support our growing team.
This is an opportunity to have real ownership and impact. You’ll oversee the core employee lifecycle while shaping the processes, systems, and ways of working that enable us to grow effectively. From improving existing workflows to introducing smarter, more automated solutions, you’ll have the freedom to challenge how things are done and make them better.
Working closely with HR Business Partners, Talent Acquisition, Payroll, Finance, and Legal, you’ll help create a seamless employee experience and ensure our HR operations are accurate, efficient, and built to scale.
If you enjoy bringing structure to fast-moving environments, solving operational challenges, and building things that make a tangible difference, this is a chance to help shape HR Operations at an exciting stage of our growth.
Own end-to-end HR operations: onboarding/offboarding, employee data management, contracts, and HRIS administration
Design and continuously improve HR processes and workflows to support rapid headcount growth
Partner with Payroll and Finance to ensure accurate, timely monthly payroll inputs (starters, leavers, changes, benefits)
Partner with Legal, HR Business Partners and Talent Acquisition to ensure a smooth, well-documented employee lifecycle
Act as the escalation point for employee queries relating to contracts, benefits, and policies
Support audits (right-to-work, compliance, insurance) and maintain accurate employee records
Ensure HR policies, employee handbooks, and processes comply with UK employment law (and monitor changes that require updates)
Manage relationships with external vendors (such as benefits providers etc)
Identify opportunities to automate and simplify recurring HR admin work
3+ years of experience in People Operations, ideally in a fast-growing or scale-up environment
Solid working knowledge of UK employment law and best practice
Experience owning or administering an HRIS (preferably HiBob)
Experience coordinating with payroll providers and benefits administration in the UK
Strong Excel/Google Sheets skills; comfortable working with and cleaning large datasets
Excellent attention to detail and a process-first mindset
Strong communication skills — able to explain policy and process clearly to employees at all levels
Comfortable working in ambiguity and building processes from scratch where none exist yet
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Buyer - Directs for an operational procurement role focused on P2P execution, supplier communication, and tactical sourcing support across Humanoid’s direct material commodity. The role supports the SCM Lead, you will partner with teams in London, Boston, and Vancouver in delivering continuity of supply, cost performance, and operational excellence across Mechanical, Electronics, Electromechanical, Cables & Harnessing, and Software commodities
Conduct market research to identify cost‑saving opportunities and understand price trends and supply risks.
Support sourcing initiatives, including RFx processes, negotiations, and contract execution.
Drive cost, lead‑time, and efficiency improvements with measurable KPIs.
Capture business requirements and translate them into clear commercial packages.
Negotiate optimal commercial terms (pricing, payment terms, lead times, Ts & Cs).
Conduct price analysis and cost‑breakdown validation to ensure fair and equitable pricing.
Process requisitions and purchase orders in line with procurement policies.
Maintain accurate PO and supplier data within SAP and associated systems.
Resolve supplier performance issues, discrepancies and understand the escalation process
Communicate to internal stakeholders as appropriate.
Minimize risk to continuity of supply by carrying out supplier risk assessments for the portfolio’s suppliers and implementing corrective actions as required.
Support continuous improvement of procurement processes, documentation, and tools.
Deliver KPI’s relating to cost, cash, quality, service and continuity of supply for the commodity proposals.
Run MRP (SAP) and ensure timely availability of direct goods and services.
Experience of implementing Supplier Relationship Management techniques / tools with suppliers (RMMs, Score Cards, Monthly Performance Reviews (MPRs), Communications Plans, Risk Management, DnB report, Sanctions list etc.)
Support Production, Engineering, Quality, and Planning teams to meet manufacturing needs.
Directly support the SCM Lead in the regional area
This role supports the Commodity teams in sourcing activities but does not own commodity strategy or supplier selection decisions
3+ years of direct procurement experience, ideally in manufacturing, robotics, technology, aerospace/defense or automotive.
Proven experience working within scaling direct procurement functions.
Degree in Business, Law, Engineering, or related field.
APICS/ASCM CPIM or ISM-CPSM certification desirable.
Strong understanding of contract law, commercial terms, and negotiation frameworks.
Awareness of export controls (including EAR) relevant to robotics and technology.
Technical Skills
Proficient in Google Workspace, Slack, and database management.
Experience with MRP/ERP systems; SAP essential.
Good analytical, numerical, and planning capabilities
A good understanding of the Legal Aspects associated with contracting within the Robotics industry
Procure-2-Pay and tactical procurement experience (Essential) across the following direct commodities pillars
Mechanical Systems
Electronics & Electrical
Electromechanical Systems
Cables & Harnessing
Software & Digital Licensing (P2P support)
Behavioral Skills
Good negotiation, influencing, and stakeholder‑management skills.
Ability to work cross‑functionally in a fast‑paced, engineering‑driven environment.
Highly organized, adaptable, and able to manage shifting priorities.
Professional, motivated, and able to operate autonomously.
Competitive hourly rate, based on experience
Office perks: free breakfasts, lunches, snacks, and regular team events
Collaboration with top-tier engineers, researchers, and product experts in robotics
Startup culture prioritizing speed, transparency, and minimal bureaucracy
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We’re hiring a Senior Group Accountant to join our Finance team in London. Reporting to the Global Financial Controller, you will be responsible for monthly and statutory reporting and group consolidation across our global entities, and will help build the reporting, close and audit processes that carry Humanoid from high-growth startup to public-company standards. This is a hands-on role for a technically strong, audit-trained accountant who wants their work to become the foundation of a global finance function.
Reporting, Close and Consolidation
Run the month-end and year-end close to the group close calendar, including journals, accruals, prepayments, fixed assets and payroll postings, and own full balance sheet reconciliations.
Prepare monthly management reporting and support the wider reporting pack for internal and external stakeholders, including leadership, investors, lenders and auditors.
Operate and improve the group consolidation across all entities, including intercompany reconciliation and eliminations, and multi-currency translation.
Prepare group cash flow reporting and supporting schedules, working with FP&A and Treasury as the function grows.
Technical Accounting
Own technical accounting assessments and prepare accounting papers and memos on judgemental areas and complex transactions.
Develop accounting policies across revenue, inventory, R&D, leases and share-based payments as the business scales.
Lead the accounting for inventory and manufacturing costs as we move from R&D and prototypes into production, including standard costing, cost of sales and stock provisioning.
Support the transition of group reporting from FRS 102 to IFRS.
Statutory Reporting and Audit
Prepare UK statutory financial statements and support local filings across our other jurisdictions alongside external advisors.
Own the external audit process end to end, including PBC lists, auditor relationships and technical position papers.
Controls, Systems and Process
Build and document internal controls as the group scales, ensuring we stay compliant and are ready for the reporting standards expected of a public company.
Document processes and controls as you build them, and play a central role in our ERP build-out and finance systems integrations.
Use AI and modern workflow tooling to accelerate the close, automate reconciliation and reporting, and find efficiencies across the function.
Collaborate end to end across the finance team and the wider business, including tax, FP&A, finance operations, supply chain and people teams, picking up work that falls outside the standard remit as an early-stage company.
ACA or ACCA qualified (CIMA considered), ideally audit-firm trained, with 4+ years’ relevant post-qualified or equivalent accounting experience across multi-entity, multi-currency groups, ideally including US entities.
Strong technical knowledge of FRS 102 and IFRS, with experience preparing statutory accounts, drafting technical papers and managing external audits end to end.
Hands-on close and consolidation experience, comfortable owning journals, reconciliations, intercompany and eliminations rather than only reviewing them.
Experience with inventory and cost accounting, standard costing or cost centre reporting in a manufacturing, physical goods or high-volume environment.
A builder’s mindset, with experience in a high-growth environment where process, controls and documentation still need to be created.
Comfortable in a modern finance stack, using AI and automation to speed up close and reporting; ERP implementation experience (SAP, NetSuite or similar) is a plus.
Experience in a venture-backed startup or scale-up, ideally hardware, robotics or deep tech, is a plus.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas to New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier: collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership: direct access to leadership, meaningful input, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a VP of Sales to join our Business Development team based in London. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.
This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.
Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.
Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.
Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.
Develop and deliver compelling business cases & ROI analyses for potential customers.
Build relationships with key decision-makers and stakeholders in target industries.
Partner with product & engineering to align solutions with customer needs.
Track market trends and competitor activity to refine go-to-market approaches.
Bachelor’s or Master’s degree in Business, Engineering, or a related field.
Background in robotics, automation, or advanced manufacturing technologies.
3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.
Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.
Strong network in the relevant industries and a track record of securing strategic partnerships.
Exceptional negotiation, communication, and presentation skills.
Expertise in calculating ROI and developing bulletproof business cases.
Strong analytical and problem-solving skills with a results-driven mindset.
P&L management and financial modeling experience.
Ability to thrive in a fast-paced, high-pressure environment.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
About The Role
As a Humanoid Robot AI Data Collector, you will teleoperate humanoid robots and follow well-defined procedures to generate high-quality datasets used for training advanced AI models. You will work hands-on with physical robots using on-site tools and interfaces—such as the Universal Manipulator Interface (UMI)—to execute structured tasks and capture precise data. A significant part of the role involves annotation and labeling, requiring strong focus, accuracy, and pride in craftsmanship.
This role is for individuals who thrive in a fast-moving, team-oriented environment; who take ownership, communicate openly, and embrace continuous learning. No technical background or formal education is required; full training is provided. This is a fully on-site role, working hands-on with robots and on-site systems such as UMI, and may involve periods of standing, regular movement, and interaction with physical hardware.
The position is shift-based on a weekly rota (06:30 am – 2:30 pm and 2:30 pm –10:30 pm), and includes travel requirements in line with business needs.
What You'll Do
Teleoperate humanoid robots with consistency, precision, and a strong sense of ownership over data quality.
Perform on-site data collection using tools such as the Universal Manipulator Interface (UMI).
Capture and organise multimodal data (e.g., video, motion trajectories, task logs) with high accuracy and attention to detail.
Annotate and label data following strict guidelines, treating the work as a high-skill technical discipline.
Identify anomalies or issues proactively and escalate or solve them at the lowest responsible level.
Suggest improvements to workflows, processes, or tools—everyone contributes to process design.
Maintain clear, transparent documentation of progress and dataset quality.
Move with urgency and focus, ensuring timelines and daily goals are met.
Communicate openly with team members, sharing feedback and observations across functions.
Collaborate respectfully and positively with teammates, helping create a supportive and high-performing culture.
We're Looking For:
No formal technical education required — full training will be provided.
Comfortable using computers and digital interfaces.
Exceptional attention to detail and ability to follow precise instructions.
Strong time management, urgency, and reliability in meeting daily/weekly targets.
Ability to maintain focus and high-quality output during repetitive tasks.
Proactive mindset — willingness to take initiative without waiting for direction.
Clear, transparent communication skills for reporting findings and collaborating with the team.
Commitment to iterative learning, continuous feedback, and constant improvement.
Interest in robotics, AI, or emerging technologies is welcome but not required.
What We Offer:
30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Senior NPI Mechanical Engineer to help establish our mechanical New Product Introduction (NPI) practices from the ground up, guiding hardware programs from concept through early production readiness. In this role, you will be the technical authority on manufacturability, working closely with design, quality, and supply chain teams to build the frameworks, processes, and discipline that let us scale from prototype and beta builds toward repeatable, larger-volume production. You will stand up quality processes and defect-reduction practices sized to where we are today, and own supplier relationships from sourcing through qualification and issue resolution. This is a hands-on, cross-functional role at the intersection of design, manufacturing, and quality, for an experienced mechanical engineer who thrives on creating structure out of ambiguity as much as executing within it.
New Product Introduction (NPI)
Lead mechanical NPI activities across the full product lifecycle, from concept and early prototyping through pilot builds, ramp, and sustained production.
Partner with design engineering to review designs for manufacturability, assembly, and testability (DFM/DFA/DFT), influencing decisions early enough to avoid costly late-stage changes.
Help define and stand up a lightweight, right-sized gate process (EVT/DVT/PVT-equivalent) for our stage, then own the mechanical engineering deliverables (build plans, test protocols, readiness criteria) at each gate as it matures.
Coordinate cross-functionally with electrical engineering, industrial design, quality, supply chain, and program management to keep NPI programs on schedule and within budget.
Manufacturing Scalability
Evaluate and select manufacturing processes, tooling, and fixturing appropriate for our current build volumes, with an eye toward what will and won't scale as we grow from beta to production
Identify and resolve bottlenecks in prototype and early pilot builds, laying the groundwork for the throughput and yield improvements we'll need as volume increases.
Develop and validate assembly processes, work instructions, and line layouts in partnership with contract manufacturers and internal operations teams- largely from scratch, not by inheriting existing documentation.
Lead design-for-scale reviews to anticipate and mitigate risks before they impact volume production.
Quality & Defect Reduction
Lead defect triage and containment efforts during prototype and pilot builds, partnering with quality engineering — or building that partnership where it doesn't yet exist — to close the loop on recurring issues.
Define and begin tracking foundational quality metrics appropriate to our build volumes (e.g., first-pass yield, defect rate per build, open issues by severity), evolving toward more statistically rigorous measures like DPPM and field return rates as volumes grow.
Establish and drive quality processes across the NPI lifecycle, including FMEA, root cause analysis, and corrective/preventive action (CAPA) programs.
Champion a culture of proactive quality, embedding lessons learned from prior programs into new product designs.
Supplier Management
Lead supplier sourcing, qualification, and onboarding for mechanical components, subassemblies, and tooling.
Conduct supplier audits and capability assessments to ensure suppliers can meet cost, quality, and volume requirements.
Manage ongoing supplier relationships, including performance reviews, issue resolution, and escalation management.
Negotiate and align on technical requirements, specifications, and quality agreements with suppliers and contract manufacturers.
Bachelor's degree in Mechanical Engineering or a related field.
10+ years of mechanical engineering experience, including significant time in NPI roles- ideally including experience both scaling hardware through high-volume manufacturing and standing up NPI processes from scratch in an early-stage or low-volume environment.
Demonstrated track record of taking products from concept through mass production, ideally in robotics, consumer electronics, or complex electromechanical systems.
Strong working knowledge of DFM/DFA/DFT principles, GD&T, and manufacturing processes (injection molding, sheet metal, machining, casting, etc.).
Hands-on experience with quality methodologies such as FMEA, 8D, root cause analysis, and SPC.
Proven experience managing supplier relationships, including sourcing, qualification, and issue resolution.
Experience standing up or scaling manufacturing lines at contract manufacturers.
Excellent cross-functional collaboration and communication skills, with the ability to influence design decisions and align diverse stakeholders.
Willingness to travel to supplier and manufacturing sites as needed (domestic and/or international).
Preferred Qualifications:
Experience in robotics, automation, or other complex mechatronic products.
Familiarity with PLM/ERP systems and NPI program management tools.
Six Sigma or equivalent quality certification.
Experience with regulatory and safety compliance requirements relevant to robotics hardware (e.g., UL, CE, ISO).
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $150K–$190K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a Senior NPI Mechanical Engineer to help establish our mechanical New Product Introduction (NPI) practices from the ground up, guiding hardware programs from concept through early production readiness. In this role, you will be the technical authority on manufacturability, working closely with design, quality, and supply chain teams to build the frameworks, processes, and discipline that let us scale from prototype and beta builds toward repeatable, larger-volume production. You will stand up quality processes and defect-reduction practices sized to where we are today, and own supplier relationships from sourcing through qualification and issue resolution. This is a hands-on, cross-functional role at the intersection of design, manufacturing, and quality, for an experienced mechanical engineer who thrives on creating structure out of ambiguity as much as executing within it.\n\n\n\n\nWHAT YOU'LL DO\n\n\n\nNew Product Introduction (NPI)\n\n - Lead mechanical NPI activities across the full product lifecycle, from concept and early prototyping through pilot builds, ramp, and sustained production.\n\n - Partner with design engineering to review designs for manufacturability, assembly, and testability (DFM/DFA/DFT), influencing decisions early enough to avoid costly late-stage changes.\n\n - Help define and stand up a lightweight, right-sized gate process (EVT/DVT/PVT-equivalent) for our stage, then own the mechanical engineering deliverables (build plans, test protocols, readiness criteria) at each gate as it matures.\n\n - Coordinate cross-functionally with electrical engineering, industrial design, quality, supply chain, and program management to keep NPI programs on schedule and within budget.\n\n\n\nManufacturing Scalability\n\n - Evaluate and select manufacturing processes, tooling, and fixturing appropriate for our current build volumes, with an eye toward what will and won't scale as we grow from beta to production\n\n - Identify and resolve bottlenecks in prototype and early pilot builds, laying the groundwork for the throughput and yield improvements we'll need as volume increases.\n\n - Develop and validate assembly processes, work instructions, and line layouts in partnership with contract manufacturers and internal operations teams- largely from scratch, not by inheriting existing documentation.\n\n - Lead design-for-scale reviews to anticipate and mitigate risks before they impact volume production.\n\n\n\nQuality & Defect Reduction\n\n - Lead defect triage and containment efforts during prototype and pilot builds, partnering with quality engineering — or building that partnership where it doesn't yet exist — to close the loop on recurring issues.\n\n - Define and begin tracking foundational quality metrics appropriate to our build volumes (e.g., first-pass yield, defect rate per build, open issues by severity), evolving toward more statistically rigorous measures like DPPM and field return rates as volumes grow.\n\n - Establish and drive quality processes across the NPI lifecycle, including FMEA, root cause analysis, and corrective/preventive action (CAPA) programs.\n\n - Champion a culture of proactive quality, embedding lessons learned from prior programs into new product designs.\n \n \n\nSupplier Management\n\n - Lead supplier sourcing, qualification, and onboarding for mechanical components, subassemblies, and tooling.\n\n - Conduct supplier audits and capability assessments to ensure suppliers can meet cost, quality, and volume requirements.\n\n - Manage ongoing supplier relationships, including performance reviews, issue resolution, and escalation management.\n\n - Negotiate and align on technical requirements, specifications, and quality agreements with suppliers and contract manufacturers.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Bachelor's degree in Mechanical Engineering or a related field.\n\n - 10+ years of mechanical engineering experience, including significant time in NPI roles- ideally including experience both scaling hardware through high-volume manufacturing and standing up NPI processes from scratch in an early-stage or low-volume environment.\n\n - Demonstrated track record of taking products from concept through mass production, ideally in robotics, consumer electronics, or complex electromechanical systems.\n\n - Strong working knowledge of DFM/DFA/DFT principles, GD&T, and manufacturing processes (injection molding, sheet metal, machining, casting, etc.).\n\n - Hands-on experience with quality methodologies such as FMEA, 8D, root cause analysis, and SPC.\n\n - Proven experience managing supplier relationships, including sourcing, qualification, and issue resolution.\n\n - Experience standing up or scaling manufacturing lines at contract manufacturers.\n\n - Excellent cross-functional collaboration and communication skills, with the ability to influence design decisions and align diverse stakeholders.\n\n - Willingness to travel to supplier and manufacturing sites as needed (domestic and/or international). \n\nPreferred Qualifications:\n\n - Experience in robotics, automation, or other complex mechatronic products.\n\n - Familiarity with PLM/ERP systems and NPI program management tools.\n\n - Six Sigma or equivalent quality certification.\n\n - Experience with regulatory and safety compliance requirements relevant to robotics hardware (e.g., UL, CE, ISO).\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n \n\nFor this role in Massachusetts, the expected base salary range is $150K–$190K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"8dbbf9a3-4796-45d8-8494-aceaac2c1796","title":"Engineering Lead, Developer Productivity (AI & Agents)","department":"Engineering","team":"Software Engineering","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-22T12:33:16.860+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/8dbbf9a3-4796-45d8-8494-aceaac2c1796","applyUrl":"https://jobs.ashbyhq.com/humanoid/8dbbf9a3-4796-45d8-8494-aceaac2c1796/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
About the role:
At Humanoid, we are working from a simple hypothesis that AI is rapidly transforming engineering. The bottlenecks are shifting from writing code to how efficiently AI-authored changes can be verified.
We’re looking for an Engineering Lead to own developer productivity in the age of AI and agents. You’ll build the platform that lets our engineers move faster with coding agents while protecting our code, infrastructure, and robots. You’ll give developers and agents the environments, context, and tools to work effectively, and build verification and security into the path from task to healthy deployment. This means rethinking how engineering work gets done, not just adding agents to existing processes, and establishing the access controls, isolation, and monitoring needed to guard against mistakes, misuse, and new security threats.
This is a hands-on leadership role and the keystone hire for a new developer productivity team. You’ll build the critical systems yourself, recruit and lead engineers, and work across Developer Tools, Security, Safety, Simulation, and robot software. Success means increasing engineering output while reducing cost and human review per accepted change, without increasing defects or safety risk.
What you'll do:
Own the path from an agent task to a healthy deployed change, including acceptance criteria, execution, verification, merge, rollout, monitoring, and rollback.
Build secure, reproducible agent runtimes with task-scoped identity, short-lived credentials, bounded access, cost controls, and re-playable execution records. Proactively detect unauthorized agent activity across our compute clusters, whether internal or external.
Build the interfaces developers use to launch, monitor, and control agents, alongside tooling for agents to collaborate through shared memory, coordinated work, and appropriately authorized access to company resources.
Reduce the tokens and retries required for accepted work through better context assembly, model and tool routing, caching, task decomposition, and feedback.
Give agents fast access to builds, tests, simulation, replay, and hardware-in-the-loop, with acceptance criteria they cannot alter.
Work with engineering teams to make the codebase easier to navigate and verify through clear interfaces, strong invariants, reproducible environments, fast local checks, and well-documented implementation paths.
Recruit and lead the team while remaining hands-on. Measure success through cost per accepted change, human review time, escaped defects, and time from push to healthy on the robot.
What we're looking for:
Experience building and operating developer tooling or infrastructure used across engineering teams, such as build systems, CI/CD, test infrastructure, deployment pipelines, or internal platforms.
Strong software engineering skills and comfort working in large codebases or monorepos.
Practical experience with Linux, containers, and cloud infrastructure, plus working knowledge of Kubernetes.
Hands-on experience using and integrating coding agents into real engineering workflows. You understand how context, tools, and evals affect reliability, latency, and cost, and can talk concretely about what worked and what didn’t.
Sound security judgment around workload isolation, identity, permissions, and credentials. You can design appropriate boundaries for agents accessing code, infrastructure, and company resources.
Experience building reliable automated tests or verification systems and diagnosing failures across code, tooling, and infrastructure. You have good judgment about what automated checks establish and where human review still matters.
Experience leading engineers while remaining hands-on. You can set technical direction, recruit a strong team, and turn an ambitious goal into systems that engineers use and trust.
What We Offer:
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a Senior Autonomy Engineer focused on Spatial Intelligence to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments
Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings.
Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integrating them for ultra-low latency performance on edge hardware
Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state
Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration.
Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap.
Exceptional software engineering skills with a proven track record of shipping complex ML systems into production.
Strong background in 3D scene understanding and the design of efficient spatial data structures.
Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures).
Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems.
High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code.
Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics.
Team Leadership & Product Security Delivery
Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle.
Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems.
Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture.
Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms.
Security Assurance & Certification
Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation.
Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act.
Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users.
Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification.
Incident Response & Lifecycle Security
Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis.
Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations.
Commercial & Bid Support
Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope.
Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions.
Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes.
Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments.
Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context.
Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development.
Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner.
Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence.
Preferred:
Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems.
Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths.
Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems.
Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme.
Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments.
Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS).
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As Lead Prototype Engineer on the Core Platform team, you will lead and grow a team of prototype engineers and technicians while staying hands-on at the bench. You’ll set the technical standard for how we build, diagnose, and evolve advanced humanoid robotic platforms. Your focus is electrical integration, bring-up, and root-cause analysis across the full hardware lifecycle, from concept and prototyping to field repair. You’ll emphasize reliability and repeatable processes.
Lead, mentor, and develop a team of prototype engineers and technicians. Set priorities, allocate work, and raise the team’s technical and process standards.
Stay hands-on: personally drive troubleshooting and resolution of the most complex electrical issues in prototype humanoid robots, across operational and in-development systems. Lead detailed failure analysis and share learnings with hardware and software engineering teams.
Own electrical bring-up of new prototype builds, including power distribution, motor drive and actuator electronics, sensor integration, communications buses, and high-density electromechanical integrations.
Collaborate closely with electrical, mechanical, firmware, and software engineers on prototype design, assembly, and design-for-test.
Define, maintain, and enforce test procedures, troubleshooting guides, and repair runbooks for the prototyping lab, and make sure the team follows them.
Design, document, and iterate on cable assemblies, wiring harnesses, and test jigs built for repeated use on dynamic robotic platforms.
Own lab planning and priorities: build schedules, resource allocation, tooling, equipment, and spares. Balance competing demands from multiple engineering teams.
Identify and drive continuous improvement in processes and products, reducing downtime, improving test and repair efficiency, and raising first-pass yield and manufacturability.
Build strong feedback loops across design, build, and test, and communicate status, risks, and lessons learned to engineering leadership.
Strong, hands-on electrical engineering background in rapid prototyping, debugging custom hardware, and troubleshooting complex electrical systems in robotics or similar domains.
Deep working knowledge of low-voltage power and mixed-signal circuits, motor drives, connectors, sensors, and compact electromechanical systems. You are comfortable using oscilloscopes, logic analyzers, power supplies, and other bench instrumentation to diagnose faults.
Experience reading schematics and PCB layouts, performing board-level rework and repair, and designing or specifying harnesses and cable assemblies.
Prior experience leading or mentoring engineers or technicians, formally or as a technical lead. You are comfortable taking on direct reports and balancing people management with hands-on work.
Track record of communicating concisely through documentation, procedures, test plans, diagnostics, and lessons learned.
Adept at collaborating across electrical, mechanical, and software boundaries to solve urgent, ambiguous problems. Mechanical prototyping skills are a plus.
Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast.
Preferred:
Experience designing for manufacturability and reliability in human-sized or mobile robotics.
Familiarity with automated test and diagnostic tools used in modern hardware labs.
Experience building or scaling a prototyping or field engineering team, including hiring and setting up lab processes.
Mechanical assembly and integration experience alongside strong electrical skills.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $150K–$200K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs Lead Prototype Engineer on the Core Platform team, you will lead and grow a team of prototype engineers and technicians while staying hands-on at the bench. You’ll set the technical standard for how we build, diagnose, and evolve advanced humanoid robotic platforms. Your focus is electrical integration, bring-up, and root-cause analysis across the full hardware lifecycle, from concept and prototyping to field repair. You’ll emphasize reliability and repeatable processes.\n\n\n\n\nWHAT YOU'LL DO\n\n - Lead, mentor, and develop a team of prototype engineers and technicians. Set priorities, allocate work, and raise the team’s technical and process standards.\n\n - Stay hands-on: personally drive troubleshooting and resolution of the most complex electrical issues in prototype humanoid robots, across operational and in-development systems. Lead detailed failure analysis and share learnings with hardware and software engineering teams.\n\n - Own electrical bring-up of new prototype builds, including power distribution, motor drive and actuator electronics, sensor integration, communications buses, and high-density electromechanical integrations.\n\n - Collaborate closely with electrical, mechanical, firmware, and software engineers on prototype design, assembly, and design-for-test.\n\n - Define, maintain, and enforce test procedures, troubleshooting guides, and repair runbooks for the prototyping lab, and make sure the team follows them.\n\n - Design, document, and iterate on cable assemblies, wiring harnesses, and test jigs built for repeated use on dynamic robotic platforms.\n\n - Own lab planning and priorities: build schedules, resource allocation, tooling, equipment, and spares. Balance competing demands from multiple engineering teams.\n\n - Identify and drive continuous improvement in processes and products, reducing downtime, improving test and repair efficiency, and raising first-pass yield and manufacturability.\n\n - Build strong feedback loops across design, build, and test, and communicate status, risks, and lessons learned to engineering leadership.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong, hands-on electrical engineering background in rapid prototyping, debugging custom hardware, and troubleshooting complex electrical systems in robotics or similar domains.\n\n - Deep working knowledge of low-voltage power and mixed-signal circuits, motor drives, connectors, sensors, and compact electromechanical systems. You are comfortable using oscilloscopes, logic analyzers, power supplies, and other bench instrumentation to diagnose faults.\n\n - Experience reading schematics and PCB layouts, performing board-level rework and repair, and designing or specifying harnesses and cable assemblies.\n\n - Prior experience leading or mentoring engineers or technicians, formally or as a technical lead. You are comfortable taking on direct reports and balancing people management with hands-on work.\n\n - Track record of communicating concisely through documentation, procedures, test plans, diagnostics, and lessons learned.\n\n - Adept at collaborating across electrical, mechanical, and software boundaries to solve urgent, ambiguous problems. Mechanical prototyping skills are a plus.\n\n - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast.\n\nPreferred:\n\n - Experience designing for manufacturability and reliability in human-sized or mobile robotics.\n\n - Familiarity with automated test and diagnostic tools used in modern hardware labs.\n\n - Experience building or scaling a prototyping or field engineering team, including hiring and setting up lab processes.\n\n - Mechanical assembly and integration experience alongside strong electrical skills.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n \n\nFor this role in Massachusetts, the expected base salary range is $150K–$200K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"f90e4699-5edd-49be-9b42-1008be75c2bb","title":"Shift Supervisor / Field Service Technician ","department":"Product","team":"Deployment","employmentType":"FullTime","location":"Germany","secondaryLocations":[],"publishedAt":"2026-11-05T21:56:27.007+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Bavaria","addressCountry":"Germany","addressLocality":"Schweinfurt"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/f90e4699-5edd-49be-9b42-1008be75c2bb","applyUrl":"https://jobs.ashbyhq.com/humanoid/f90e4699-5edd-49be-9b42-1008be75c2bb/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a skilled and motivated Shift Supervisor to join our team on-site in Schweinfurt, Bavaria, Germany, supporting the deployment, integration, and maintenance of our humanoid robot solutions at customer facilities. As the on-site operations lead, you will coordinate site activities, collect operational data, and supervise a team of Field Operations Associates. This position requires problem-solving skills, sound judgement under pressure, and a customer-centric approach.
.
Supervise a team of Field Operations Associates, setting and maintaining high standards in a demanding operational setting. This is a hands-on operational and technical leadership role representing Humanoid at customer sites.
Act as the on-shift operational leader, ensuring that the appropriate tools, spare parts, and equipment are available.
Supervise standard operating procedures (SOPs) for customer sites and document learnings from field issues.
Test product releases and robot capabilities.
Diagnose hardware and software issues using logs, diagnostics, and field observations, performing maintenance where appropriate.
Collect, analyse, and interpret operational data to evaluate robot performance, identify bottlenecks, and drive continuous improvements.
Track, document, and reproduce software and hardware issues, providing clear technical feedback to engineering and product teams.
Tackle production incidents and technical issues in cooperation with service and engineering teams.
Act as the primary on-shift liaison between the deployed location and Humanoid offices.
2–5 years of experience in industrial automation, robotics, or automotive integration, deployment, and development.
Strong technical understanding of mechanical, electrical, and networking systems, with hands-on experience in troubleshooting, assembly, and maintenance.Excellent problem-solving, analytical, and decision-making skills, particularly in high-pressure operational environments.
Strong communication, documentation, and stakeholder management skills, with the ability to work independently in dynamic customer environments.
Business-fluent English.
Flexibility to support future assignments at customer sites and occasional visits to company locations in the UK and Europe.
Unrestricted right to work and live in the European Union.
Prior experience in warehouse/logistics automation, industrial robotics, or humanoid robotics deployment.
Working knowledge of a relevant local language (e.g. German).
Valid Class B (or equivalent) driver's licence.
Familiarity with software integration and sensor-based automation.
Experience with commissioning, acceptance testing, or software validation.
Experience working in complex operational environments.
Experience working directly with customers in an operational leadership role.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a Mechanical Engineer to design and develop advanced humanoid robots. The ideal candidate will have expertise in mechanical design, system integration, and GD&T based on ASME Y14.5, along with experience in optimizing robotic systems for performance and manufacturability.
Develop components for humanoid robots (e.g., frames, actuators, joints) using CAD software, applying GD&T standards (ASME Y14.5) to ensure precision and manufacturability.
Design robotic linkages and mechanisms with a focus on efficient motion and performance optimization.
Choose materials and manufacturing methods that balance strength, weight, and cost, ensuring feasibility and reliability.
Lead the prototyping phase, utilizing tools like 3D printing and CNC machining to validate designs.
Work with electrical engineers and software developers to integrate mechanical components into robotic systems.
Ensure designs meet safety standards, conducting risk assessments and applying necessary safety features.
Perform mechanical testing to verify design performance and durability.
Produce detailed technical documentation, including drawings, specifications, and BOMs, adhering to GD&T principles.
Work closely with cross-functional teams to achieve project goals.
Strong background in mechanical design, statics, dynamics, and material science.
Skilled in CAD tools (SolidWorks), with the ability to apply GD&T (ASME Y14.5) to designs.
Familiarity with manufacturing methods like CNC machining, 3D printing, and injection molding.
Hands-on experience building and testing prototypes.
Understanding of safety standards (e.g., ISO 10218) and risk assessment.
Strong analytical skills to tackle complex engineering challenges.
Clear verbal and written communication for effective teamwork.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a Mechanical Engineer to design and develop advanced humanoid robots. The ideal candidate will have expertise in mechanical design, system integration, and GD&T based on ASME Y14.5, along with experience in optimizing robotic systems for performance and manufacturability.\n\n\n\n\nWHAT YOU’LL DO\n\n - Develop components for humanoid robots (e.g., frames, actuators, joints) using CAD software, applying GD&T standards (ASME Y14.5) to ensure precision and manufacturability.\n\n - Design robotic linkages and mechanisms with a focus on efficient motion and performance optimization.\n\n - Choose materials and manufacturing methods that balance strength, weight, and cost, ensuring feasibility and reliability.\n\n - Lead the prototyping phase, utilizing tools like 3D printing and CNC machining to validate designs.\n\n - Work with electrical engineers and software developers to integrate mechanical components into robotic systems.\n\n - Ensure designs meet safety standards, conducting risk assessments and applying necessary safety features.\n\n - Perform mechanical testing to verify design performance and durability.\n\n - Produce detailed technical documentation, including drawings, specifications, and BOMs, adhering to GD&T principles.\n\n - Work closely with cross-functional teams to achieve project goals.\n\n\n\n\nWE’RE LOOKING FOR\n\n - Strong background in mechanical design, statics, dynamics, and material science.\n\n - Skilled in CAD tools (SolidWorks), with the ability to apply GD&T (ASME Y14.5) to designs.\n\n - Familiarity with manufacturing methods like CNC machining, 3D printing, and injection molding.\n\n - Hands-on experience building and testing prototypes.\n\n - Understanding of safety standards (e.g., ISO 10218) and risk assessment.\n\n - Strong analytical skills to tackle complex engineering challenges.\n\n - Clear verbal and written communication for effective teamwork.\n\n \n\n\nWHAT WE OFFER\n\n - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.\n\n - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.\n\n - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\n \n\nFor this role in Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"4492b9f9-0dfd-46ca-94ef-10503f096c99","title":"AI Data Collector - Night Shift","department":"Engineering","team":"AI Data Collection","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-09-25T15:48:53.602+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/4492b9f9-0dfd-46ca-94ef-10503f096c99","applyUrl":"https://jobs.ashbyhq.com/humanoid/4492b9f9-0dfd-46ca-94ef-10503f096c99/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Humanoid Robot AI Data Collector, you will teleoperate humanoid robots and follow well-defined procedures to generate high-quality datasets used for training advanced AI models. You will work hands-on with physical robots using on-site tools and interfaces—such as the Universal Manipulator Interface (UMI)—to execute structured tasks and capture precise data. A significant part of the role involves annotation and labeling, requiring strong focus, accuracy, and pride in craftsmanship.
This role is for individuals who thrive in a fast-moving, team-oriented environment; who take ownership, communicate openly, and embrace continuous learning. No technical background or formal education is required; full training is provided. This is a fully on-site role, working hands-on with robots and on-site systems such as UMI, and may involve periods of standing, regular movement, and interaction with physical hardware.
This position is a permanent night shift, with working hours of 10:30 pm - 6:30 am, and may require occasional travel in line with business needs.
Teleoperate humanoid robots with consistency, precision, and a strong sense of ownership over data quality.
Perform on-site data collection using tools such as the Universal Manipulator Interface (UMI).
Capture and organise multimodal data (e.g., video, motion trajectories, task logs) with high accuracy and attention to detail.
Annotate and label data following strict guidelines, treating the work as a high-skill technical discipline.
Identify anomalies or issues proactively and escalate or solve them at the lowest responsible level.
Suggest improvements to workflows, processes, or tools—everyone contributes to process design.
Maintain clear, transparent documentation of progress and dataset quality.
Move with urgency and focus, ensuring timelines and daily goals are met.
Communicate openly with team members, sharing feedback and observations across functions.
Collaborate respectfully and positively with teammates, helping create a supportive and high-performing culture.
No formal technical education required — full training will be provided.
Comfortable using computers and digital interfaces.
Exceptional attention to detail and ability to follow precise instructions.
Strong time management, urgency, and reliability in meeting daily/weekly targets.
Ability to maintain focus and high-quality output during repetitive tasks.
Proactive mindset — willingness to take initiative without waiting for direction.
Clear, transparent communication skills for reporting findings and collaborating with the team.
Commitment to iterative learning, continuous feedback, and constant improvement.
Interest in robotics, AI, or emerging technologies is welcome but not required.
30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Director & Associate General Counsel at Humanoid, you will lead legal operations across the U.S. and Canada as we scale our footprint in the region. Reporting to the Chief Legal Officer & General Counsel, you'll serve as our senior legal representative and principal point of contact here — spanning regulatory support for production and R&D, IP across the research and manufacturing lifecycle, dispute resolution and pre-litigation matters, and the corporate and financing work that comes with our growth. You'll also partner closely with compliance leadership to track regulatory obligations, support public policy engagement, and own the region's legal infrastructure: entity management, governance, policies, templates, outside counsel, tooling, and reporting.
If you're excited to help shape a growing legal function, want real ownership over how law and compliance guide the deployment of real-world robots, and are ready to be the senior legal voice for a fast-growing region, we want to hear from you.
Own legal operations for North America across the United States and Canada, acting as an extension of the Office of the General Counsel in the region.
Provide regulatory support to our production and R&D functions as HMND‑01 is deployed into industrial environments, working with compliance leadership to translate requirements into workable processes.
Advise on IP rights across R&D and production, including invention capture, ownership, licensing, and protection.
Manage disputes and pre-litigation matters across the region.
Support commercial contracting in North America in partnership with our global contracts function.
Drive legal support for public policy and government engagement in the United States and Canada, in partnership with our government relations and commercial leadership.
Support corporate and financing workstreams in the region.
Engage and manage outside counsel across the United States and Canada, with a clear view of cost and value.
Own the legal operations infrastructure for the region, including entity management, policies, templates, tooling, and reporting.
Build, manage, and develop the North American legal team as headcount grows, while remaining close to the work yourself.
10+ years of legal experience following bar admission, including 5+ years in-house in regulated industries.
Licensed US attorney in good standing.
5+ years of people management experience, with the ability to build and scale a team as the region grows.
Regulatory support experience across production and R&D functions.
Substantive IP experience.
Dispute resolution experience.
A hands-on, execution-oriented approach: you do the work yourself as well as overseeing others.
Comfortable operating in ambiguity and creating clarity in a fast-moving environment.
Ability to work from our Boston office five days per week.
Nice to Have
Familiarity with Canadian law, or experience running a cross-border US–Canada remit.
Experience in robotics, artificial intelligence (AI), automotive, aerospace, or advanced manufacturing.
Experience supporting a venture financing round in-house.
Exposure to product safety, export controls, or trade compliance.
Experience supporting government relations or public policy work.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in Massachusetts, the expected base salary range is $220K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs a Director & Associate General Counsel at Humanoid, you will lead legal operations across the U.S. and Canada as we scale our footprint in the region. Reporting to the Chief Legal Officer & General Counsel, you'll serve as our senior legal representative and principal point of contact here — spanning regulatory support for production and R&D, IP across the research and manufacturing lifecycle, dispute resolution and pre-litigation matters, and the corporate and financing work that comes with our growth. You'll also partner closely with compliance leadership to track regulatory obligations, support public policy engagement, and own the region's legal infrastructure: entity management, governance, policies, templates, outside counsel, tooling, and reporting.\n\nIf you're excited to help shape a growing legal function, want real ownership over how law and compliance guide the deployment of real-world robots, and are ready to be the senior legal voice for a fast-growing region, we want to hear from you.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own legal operations for North America across the United States and Canada, acting as an extension of the Office of the General Counsel in the region.\n\n - Provide regulatory support to our production and R&D functions as HMND‑01 is deployed into industrial environments, working with compliance leadership to translate requirements into workable processes.\n\n - Advise on IP rights across R&D and production, including invention capture, ownership, licensing, and protection.\n\n - Manage disputes and pre-litigation matters across the region.\n\n - Support commercial contracting in North America in partnership with our global contracts function.\n\n - Drive legal support for public policy and government engagement in the United States and Canada, in partnership with our government relations and commercial leadership.\n\n - Support corporate and financing workstreams in the region.\n\n - Engage and manage outside counsel across the United States and Canada, with a clear view of cost and value.\n\n - Own the legal operations infrastructure for the region, including entity management, policies, templates, tooling, and reporting.\n\n - Build, manage, and develop the North American legal team as headcount grows, while remaining close to the work yourself.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 10+ years of legal experience following bar admission, including 5+ years in-house in regulated industries.\n\n - Licensed US attorney in good standing.\n\n - 5+ years of people management experience, with the ability to build and scale a team as the region grows.\n\n - Regulatory support experience across production and R&D functions.\n\n - Substantive IP experience.\n\n - Dispute resolution experience.\n\n - A hands-on, execution-oriented approach: you do the work yourself as well as overseeing others.\n\n - Comfortable operating in ambiguity and creating clarity in a fast-moving environment.\n\n - Ability to work from our Boston office five days per week.\n\nNice to Have\n\n - Familiarity with Canadian law, or experience running a cross-border US–Canada remit.\n\n - Experience in robotics, artificial intelligence (AI), automotive, aerospace, or advanced manufacturing.\n\n - Experience supporting a venture financing round in-house.\n\n - Exposure to product safety, export controls, or trade compliance.\n\n - Experience supporting government relations or public policy work.\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n \n \n\nFor this role in Massachusetts, the expected base salary range is $220K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"a6925005-037b-4d39-8323-071ca3c61c7b","title":"Senior/ Lead Executive Search Recruiter (Robotics, Operations & Manufacturing)","department":"People & Talent","team":"People & Talent","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-12T14:20:48.385+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/a6925005-037b-4d39-8323-071ca3c61c7b","applyUrl":"https://jobs.ashbyhq.com/humanoid/a6925005-037b-4d39-8323-071ca3c61c7b/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for our first Senior/Lead Executive Recruiter . This role is critical in identifying and closing high-impact leadership and niche technical hires in a fast-scaling, high-performance organisation.
You will operate as a trusted partner to hiring managers and leadership, driving complex, high-stakes searches end-to-end, often targeting passive talent in highly competitive markets. Executive search in robotics and manufacturing requires a research-led, network-driven approach due to the limited and highly specialized talent pool.
Lead end-to-end executive and senior-level hiring across robotics, manufacturing, and operations functions
Own and deliver on highly complex and hard-to-fill roles, requiring deep market mapping and proactive headhunting
Partner closely with hiring managers and leadership teams to define role requirements, success profiles, and hiring strategies Design and execute innovative sourcing strategies, leveraging:
Executive search methodologies (retained-style, research-driven approaches)
Advanced sourcing techniques and modern AI tools
Deep industry networks and competitor mapping
Act as a lead closer, managing offer strategy, stakeholder alignment, and candidate negotiations Build and maintain a strong network of senior talent across robotics and manufacturing sectors
Provide market intelligence, including talent insights, compensation benchmarks, and competitor landscape
Champion a fast-paced, high-quality hiring process, ensuring speed without compromising candidate experience
Utilize tools such as ATS systems and LinkedIn Recruiter to drive efficient and data-driven hiring
Continuously stay on top of emerging technologies, hiring trends, and talent acquisition innovations
Proven experience as a Senior / Lead Recruiter or Executive Search Consultant
Strong background in executive search (headhunting), with experience closing senior and leadership roles
Track record of closing complex, business-critical roles in competitive talent markets
Deep understanding of manufacturing and robotics ecosystems, including engineering and operations leadership roles
Strong ability to influence and partner with senior stakeholders
Expertise in direct sourcing, market mapping, and engaging passive candidates
Experience using modern recruitment tools, including ATS platforms and LinkedIn Recruiter
High ownership mindset with the ability to operate in a fast-paced, high-growth environment
Excellent communication, negotiation, and stakeholder management skills
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a VP of Sales to join our Business Development team based in Boston, Massachusetts. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.
This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.
Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.
Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.
Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.
Develop and deliver compelling business cases & ROI analyses for potential customers.
Build relationships with key decision-makers and stakeholders in target industries.
Partner with product & engineering to align solutions with customer needs.
Track market trends and competitor activity to refine go-to-market approaches.
Bachelor’s or Master’s degree in Business, Engineering, or a related field.
Background in robotics, automation, or advanced manufacturing technologies.
3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.
Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.
Strong network in the relevant industries and a track record of securing strategic partnerships.
Exceptional negotiation, communication, and presentation skills.
Expertise in calculating ROI and developing bulletproof business cases.
Strong analytical and problem-solving skills with a results-driven mindset.
P&L management and financial modeling experience.
Ability to thrive in a fast-paced, high-pressure environment.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in the Massachusetts, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on how experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring a VP of Sales to join our Business Development team based in Boston, Massachusetts. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.\nThis is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.\n\n\n\n\nWHAT YOU'LL DO\n\n - Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.\n\n - Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.\n\n - Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.\n\n - Develop and deliver compelling business cases & ROI analyses for potential customers.\n\n - Build relationships with key decision-makers and stakeholders in target industries.\n\n - Partner with product & engineering to align solutions with customer needs.\n\n - Track market trends and competitor activity to refine go-to-market approaches.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Bachelor’s or Master’s degree in Business, Engineering, or a related field.\n\n - Background in robotics, automation, or advanced manufacturing technologies.\n\n - 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.\n\n - Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.\n\n - Strong network in the relevant industries and a track record of securing strategic partnerships.\n\n - Exceptional negotiation, communication, and presentation skills.\n\n - Expertise in calculating ROI and developing bulletproof business cases.\n\n - Strong analytical and problem-solving skills with a results-driven mindset.\n\n - P&L management and financial modeling experience.\n\n - Ability to thrive in a fast-paced, high-pressure environment.\n\n \n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\nFor this role in the Massachusetts, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on how experience maps to our internal leveling."},{"id":"25162c54-493a-456c-840c-9d5f9417017e","title":"VP of Sales","department":"Business Development","team":"Business Development","employmentType":"FullTime","location":"US (Remote)","secondaryLocations":[{"location":"US, San Diego, CA","address":{"postalAddress":{"postalCode":"92122","addressRegion":"California","streetAddress":"8910 University Center Lane","addressCountry":"United States","addressLocality":"San Diego"}}}],"publishedAt":"2026-10-01T18:05:04.565+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/25162c54-493a-456c-840c-9d5f9417017e","applyUrl":"https://jobs.ashbyhq.com/humanoid/25162c54-493a-456c-840c-9d5f9417017e/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We're hiring a VP of Sales to join our Business Development team based in the United States. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.
This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.
Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.
Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.
Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.
Develop and deliver compelling business cases & ROI analyses for potential customers.
Build relationships with key decision-makers and stakeholders in target industries.
Partner with product & engineering to align solutions with customer needs.
Track market trends and competitor activity to refine go-to-market approaches.
Bachelor’s or Master’s degree in Business, Engineering, or a related field.
Background in robotics, automation, or advanced manufacturing technologies.
3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.
Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.
Strong network in the relevant industries and a track record of securing strategic partnerships.
Exceptional negotiation, communication, and presentation skills.
Expertise in calculating ROI and developing bulletproof business cases.
Strong analytical and problem-solving skills with a results-driven mindset.
P&L management and financial modeling experience.
Ability to thrive in a fast-paced, high-pressure environment.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in the United States, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on geographical location and how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring a VP of Sales to join our Business Development team based in the United States. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.\nThis is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.\n\n \n\n\nWHAT YOU'LL DO\n\n - Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.\n\n - Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.\n\n - Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.\n\n - Develop and deliver compelling business cases & ROI analyses for potential customers.\n\n - Build relationships with key decision-makers and stakeholders in target industries.\n\n - Partner with product & engineering to align solutions with customer needs.\n\n - Track market trends and competitor activity to refine go-to-market approaches.\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - Bachelor’s or Master’s degree in Business, Engineering, or a related field.\n\n - Background in robotics, automation, or advanced manufacturing technologies.\n\n - 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.\n\n - Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.\n\n - Strong network in the relevant industries and a track record of securing strategic partnerships.\n\n - Exceptional negotiation, communication, and presentation skills.\n\n - Expertise in calculating ROI and developing bulletproof business cases.\n\n - Strong analytical and problem-solving skills with a results-driven mindset.\n\n - P&L management and financial modeling experience.\n\n - Ability to thrive in a fast-paced, high-pressure environment.\n\n \n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\nFor this role in the United States, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on geographical location and how your experience maps to our internal leveling."},{"id":"6dbb1c4d-7d75-48ea-9c8d-0a8d7a232610","title":"HR Manager","department":"People & Talent","team":"HR Business Partnership","employmentType":"FullTime","location":"US, Boston, MA","secondaryLocations":[],"publishedAt":"2026-10-06T22:43:02.405+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"1 Broadway","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/6dbb1c4d-7d75-48ea-9c8d-0a8d7a232610","applyUrl":"https://jobs.ashbyhq.com/humanoid/6dbb1c4d-7d75-48ea-9c8d-0a8d7a232610/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As HR Manager in our Boston location, you'll be hands on: part strategic partner, part operator. You'll set direction and roll up your sleeves to make it happen. You'll be a trusted advisor on everything from performance and employee relations to culture - helping the business move fast while staying rigorous and fair. People Operations
People Operations and the Employee Lifecycle
Own the end-to-end employee lifecycle for US employees, including onboarding, employee changes, leave management and offboarding.
Administer US benefits, prepare payroll inputs, and handle day-to-day employee queries.
Maintain accurate employee data, documentation and workflows in our HRIS (HiBob) and other HR systems.
Coordinate lifecycle processes across HR, Payroll, IT, Finance, Legal and other internal teams.
Prepare and maintain employment documentation, and support HR reporting, data quality, audits and compliance requirements.
Strategic HR Business Partnership
Serve as the primary HR partner for Engineering, Hardware and Software leaders.
Support technical leaders as the company grows, including adding new management layers, developing first-time managers, and adapting leadership styles as the team scales.
Partner with the Chief HR Officer on org design, workforce planning and people strategy for the technical organization.
Align with Talent Acquisition on technical hiring strategy, interview process health, candidate experience and hiring manager enablement.
Manager Coaching and Performance Management
Coach managers on setting clear expectations and operating rhythms, including goals, execution cadence and feedback loops.
Enable consistent, high-quality 1:1s, feedback and career conversations.
Support performance differentiation (high, medium and low performance) and make sure issues are addressed early and fairly.
Run performance and review cycles, managing the detail and delivering consistently.
Career Frameworks and Talent Development
Partner with leaders to build and evolve career frameworks and levels for technical roles, including software, robotics, embedded, firmware, electrical and mechanical engineering.
Clarify dual career tracks (individual contributor and management), promotion readiness and growth expectations.
Identify retention risks in critical technical roles and put targeted plans in place with managers.
Employee Relations and Compliance
Support managers and leaders through complex and sensitive employee situations with empathy, directness and appropriate legal and compliance awareness.
Take ownership of operational issues and complex cases, and drive them through to resolution.
Apply practical knowledge of US and Canadian employment practices across employee relations, benefits, payroll coordination and leave administration.
Process Improvement and Scalability
Continuously review existing People processes and find ways to simplify, standardize and automate them.
Build scalable people practices suited to a fast-moving deep-tech environment.
Partner with People Ops to keep core people processes running smoothly and the employee experience strong.
7+ years of proven HRBP experience supporting technical teams (Engineering, Hardware, Software, AI/ML).
Experience partnering directly with managers on performance management, employee relations and people decisions.
Strong capability in org design, workforce planning, manager coaching, performance management and employee relations.
Excellent stakeholder management, communication and influence skills. You communicate clearly, practically and confidently with employees and leaders.
Strong execution skills: able to run cycles, manage detail and deliver consistently.
Mindset
High judgement and confidence handling sensitive matters, balancing empathy with high standards.
Comfortable operating in ambiguity and driving clarity where processes are still evolving.
Able to own problems independently and drive them through to resolution.
A process-improvement mindset and a natural tendency to simplify and automate.
Nice to Have
Experience in deep-tech, robotics, embedded systems, or hardware and software organizations.
Experience building or refining leveling frameworks and IC/manager career tracks.
Familiarity with engineering operating models (on-call, incident management, postmortems).
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Warehouse Operative Specialist, you will take hands-on ownership of day-to-day warehouse and inventory operations at our Vancouver site.
You will be responsible for receiving, storage, inventory accuracy, cycle counting, material movement, and kitting, ensuring components are available and ready to support fast-moving prototype robot builds.
As a key warehouse specialist in Vancouver, you will have the opportunity to establish and continuously improve site warehouse processes, working closely with Supply Chain, Procurement, Engineering, Production, and our global Warehouse, Inventory, Logistics & Planning (WILP) team.
This role is ideal for someone who is hands-on, organized, self-directed, and comfortable taking ownership in a fast-paced hardware environment.
Take ownership of warehouse and inventory operations for Humanoid's growing Vancouver robotics site
Directly support the development and build of next-generation humanoid robots
Help establish and improve warehouse, inventory, and material-flow processes
Work closely with Engineering, Production, Procurement, Supply Chain, and global operations teams
Operate in an environment where inventory accuracy and material availability directly impact robot builds
Own day-to-day receiving, storage, inventory control, cycle counting, kitting, and material movement for the Vancouver site
Establish and maintain an organized stores area, location structure, labelling system, and material flow
Receive incoming deliveries, verify materials against purchase orders, inspect for damage, shortages, or non-conformance, and accurately record receipts
Maintain accurate, real-time inventory records in JIRA and inventory tracking systems
Handle ESD-sensitive, high-value, serialized, and lot-controlled components, maintaining appropriate traceability
Run regular cycle counts, investigate discrepancies, identify root causes, and maintain inventory accuracy
Monitor inventory levels and help maintain appropriate minimum, maximum, and safety-stock levels for critical and high-usage materials
Pick, stage, and deliver complete kits against BOMs and build schedules for prototype robot builds
Work closely with Engineering, Production, Procurement, and Planning to identify material shortages and build risks early
Manage material issues, unused material returns, transfers, scrap, quarantined stock, and supplier returns with accurate traceability
Prepare outbound shipments and inter-site transfers between Vancouver, London, and Boston, supporting accurate shipping and customs documentation
Track critical inbound and outbound shipments and escalate delays before they impact builds
Maintain a clean, safe, and organized warehouse environment, applying 5S principles and applicable health and safety requirements
Support asset tracking for tools, fixtures, and equipment held within the stores area
Use Excel or Google Sheets to maintain inventory reports, count plans, and variance analysis
Identify and implement practical improvements to receiving, storage, inventory, kitting, and material-flow processes
Act as a trusted point of contact for warehouse and inventory processes and support colleagues in following established procedures
5+ years of hands-on warehouse, stores, inventory control, or material operations experience within a technical industry, such as robotics, electronics, aerospace, automotive, advanced manufacturing, industrial automation, or complex hardware development
Demonstrated experience supporting engineering, manufacturing, production, or prototype/R&D environments, with a strong understanding of the material-control requirements associated with complex technical products
Experience supporting prototype builds, engineering builds, NPI, or low-volume/high-complexity production
Strong experience with inventory control, cycle counting, stock reconciliation, and variance investigation
Experience with kitting and issuing materials to engineering or production against BOMs and build schedules
Ability to confidently work with BOMs, part numbers, technical documentation, and engineering drawings
Experience handling technical components and assemblies, including appropriate storage, identification, and traceability practices
Practical experience with Excel or Google Sheets, including formulas, lookups, pivot tables, and inventory reporting
Strong understanding of receiving, storage, stock movement, traceability, and inventory accuracy
Ability to work independently, prioritize competing requirements, and take ownership of day-to-day warehouse operations
Strong organizational skills with a high level of accuracy and attention to detail
Clear, proactive communication skills and the ability to collaborate effectively with Engineering, Production, Procurement, and Supply Chain teams
Ability to adapt and maintain accuracy in a fast-paced technical environment with changing build priorities
Experience working with 3PL providers, carriers, and import/export documentation
Familiarity with WHMIS and Transportation of Dangerous Goods (TDG) requirements
Occupational First Aid (OFA Level 1) certification
Experience applying Lean or 5S practices
Supply chain, logistics, warehouse, or inventory certification such as APICS CPIM or equivalent
On-site role in Vancouver involving regular warehouse activity and material handling.
Ability to handle items up to 23 kg / 50 lb, with appropriate equipment and reasonable accommodation provided in accordance with applicable law.
Some schedule flexibility may be required to support critical robot builds and time-sensitive deliveries.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in Vancouver, the expected base salary range is $60,000–$65,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs a Warehouse Operative Specialist, you will take hands-on ownership of day-to-day warehouse and inventory operations at our Vancouver site.\n\nYou will be responsible for receiving, storage, inventory accuracy, cycle counting, material movement, and kitting, ensuring components are available and ready to support fast-moving prototype robot builds.\n\nAs a key warehouse specialist in Vancouver, you will have the opportunity to establish and continuously improve site warehouse processes, working closely with Supply Chain, Procurement, Engineering, Production, and our global Warehouse, Inventory, Logistics & Planning (WILP) team.\n\nThis role is ideal for someone who is hands-on, organized, self-directed, and comfortable taking ownership in a fast-paced hardware environment.\n\n \n\n\nWHAT MAKES THIS ROLE EXCITING\n\n - Take ownership of warehouse and inventory operations for Humanoid's growing Vancouver robotics site\n\n - Directly support the development and build of next-generation humanoid robots\n\n - Help establish and improve warehouse, inventory, and material-flow processes\n\n - Work closely with Engineering, Production, Procurement, Supply Chain, and global operations teams\n\n - Operate in an environment where inventory accuracy and material availability directly impact robot builds\n\n \n\n\nWHAT YOU'LL DO\n\n - Own day-to-day receiving, storage, inventory control, cycle counting, kitting, and material movement for the Vancouver site\n\n - Establish and maintain an organized stores area, location structure, labelling system, and material flow\n\n - Receive incoming deliveries, verify materials against purchase orders, inspect for damage, shortages, or non-conformance, and accurately record receipts\n\n - Maintain accurate, real-time inventory records in JIRA and inventory tracking systems\n\n - Handle ESD-sensitive, high-value, serialized, and lot-controlled components, maintaining appropriate traceability\n\n - Run regular cycle counts, investigate discrepancies, identify root causes, and maintain inventory accuracy\n\n - Monitor inventory levels and help maintain appropriate minimum, maximum, and safety-stock levels for critical and high-usage materials\n\n - Pick, stage, and deliver complete kits against BOMs and build schedules for prototype robot builds\n\n - Work closely with Engineering, Production, Procurement, and Planning to identify material shortages and build risks early\n\n - Manage material issues, unused material returns, transfers, scrap, quarantined stock, and supplier returns with accurate traceability\n\n - Prepare outbound shipments and inter-site transfers between Vancouver, London, and Boston, supporting accurate shipping and customs documentation\n\n - Track critical inbound and outbound shipments and escalate delays before they impact builds\n\n - Maintain a clean, safe, and organized warehouse environment, applying 5S principles and applicable health and safety requirements\n\n - Support asset tracking for tools, fixtures, and equipment held within the stores area\n\n - Use Excel or Google Sheets to maintain inventory reports, count plans, and variance analysis\n\n - Identify and implement practical improvements to receiving, storage, inventory, kitting, and material-flow processes\n\n - Act as a trusted point of contact for warehouse and inventory processes and support colleagues in following established procedures\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of hands-on warehouse, stores, inventory control, or material operations experience within a technical industry, such as robotics, electronics, aerospace, automotive, advanced manufacturing, industrial automation, or complex hardware development\n\n - Demonstrated experience supporting engineering, manufacturing, production, or prototype/R&D environments, with a strong understanding of the material-control requirements associated with complex technical products\n\n - Experience supporting prototype builds, engineering builds, NPI, or low-volume/high-complexity production\n\n - Strong experience with inventory control, cycle counting, stock reconciliation, and variance investigation\n\n - Experience with kitting and issuing materials to engineering or production against BOMs and build schedules\n\n - Ability to confidently work with BOMs, part numbers, technical documentation, and engineering drawings\n\n - Experience handling technical components and assemblies, including appropriate storage, identification, and traceability practices\n\n - Practical experience with Excel or Google Sheets, including formulas, lookups, pivot tables, and inventory reporting\n\n - Strong understanding of receiving, storage, stock movement, traceability, and inventory accuracy\n\n - Ability to work independently, prioritize competing requirements, and take ownership of day-to-day warehouse operations\n\n - Strong organizational skills with a high level of accuracy and attention to detail\n\n - Clear, proactive communication skills and the ability to collaborate effectively with Engineering, Production, Procurement, and Supply Chain teams\n\n - Ability to adapt and maintain accuracy in a fast-paced technical environment with changing build priorities\n\n \n\n\nBONUS QUALIFICATIONS\n\n - Experience working with 3PL providers, carriers, and import/export documentation\n\n - Familiarity with WHMIS and Transportation of Dangerous Goods (TDG) requirements\n\n - Occupational First Aid (OFA Level 1) certification\n\n - Experience applying Lean or 5S practices\n\n - Supply chain, logistics, warehouse, or inventory certification such as APICS CPIM or equivalent\n\n\n\n\nWORKING CONDITIONS\n\n - On-site role in Vancouver involving regular warehouse activity and material handling.\n\n - Ability to handle items up to 23 kg / 50 lb, with appropriate equipment and reasonable accommodation provided in accordance with applicable law.\n\n - Some schedule flexibility may be required to support critical robot builds and time-sensitive deliveries.\n\n \n\n\nWHAT WE OFFER\n\n - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.\n\n - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.\n\n - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n \n\nFor this role in Vancouver, the expected base salary range is $60,000–$65,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"1c2711b5-4286-4c8a-95b6-fd2dfe338f6b","title":"Business Development Specialist","department":"Business Development","team":"Business Development","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-13T13:00:50.658+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/1c2711b5-4286-4c8a-95b6-fd2dfe338f6b","applyUrl":"https://jobs.ashbyhq.com/humanoid/1c2711b5-4286-4c8a-95b6-fd2dfe338f6b/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Business Development Specialist, you will provide administrative, operational and coordination support to the Business Development team, ensuring smooth daily operations, effective customer communication and timely follow-up on commercial activities.
BD Team Support: Provide day-to-day operational and administrative support to Business Development Managers.
CRM Management: Maintain accurate customer records, contacts, leads and opportunities in the CRM system.
Lead Management: Support lead research, initial qualification, allocation and follow-up activities, responses on email enquiries and monitor early submission forms.
Customer Coordination: Organise customer meetings, site visits, demonstrations and follow-up communications.
Commercial Documentation: Coordinate NDAs, proposals, agreements and other business development documents.
Pipeline Support: Track opportunities, outstanding actions and customer engagement progress.
Reporting: Prepare regular BD activity reports, meeting summaries and updates for management.
Cross-functional Coordination: Facilitate communication between BD, Legal, Engineering, Product and other departments.
Event Support: Assist with trade shows, exhibitions, customer visits and business development events.
Process Support: Help maintain existing workflows, identify operational issues and suggest improvements.
3–5 years of relevant experience in Business Development, Sales Operations, Commercial Operations, or a similar role.
CRM proficiency: Hands-on experience with HubSpot and other CRM systems, including maintaining accurate records, tracking leads and opportunities, and managing pipeline data.
Robotics or technology industry experience: Previous experience in robotics, automation, AI, or other innovative technology-driven industries is highly desirable.
Experience in fast-paced environments: Ability to manage multiple priorities, adapt quickly to changing business needs, and work effectively in a dynamic, high-growth environment.
Strong organisational and coordination skills: Excellent attention to detail and the ability to manage multiple tasks, deadlines, and stakeholders simultaneously.
Cross-functional collaboration: Comfortable working closely with Business Development, Legal, Engineering, Product, and other teams to support commercial activities.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Scaling humanoid robots from hundreds to tens of thousands of units takes several hundred million dollars of new capital, and much of it will come from partners, not just funds. Our biggest investors are also our supplier, manufacturer and customer. That makes capital formation and strategic partnerships one job.
You will be the senior operator who connects them. You will lead our next equity rounds alongside the CFO, open doors to the strategic and institutional investors who can carry Humanoid to a public exit, and turn partnerships with industrial, compute and supply-chain leaders into capital, contracts and access. Few roles offer this mix of venture, growth equity, corporate development and deal-making at a company of this ambition.
Capital formation (with the CFO and CBO)
1. Co-lead equity rounds from Series B onward: investor targeting, sequencing, process management, term sheet negotiation and closing.
2. Build and run a single investor CRM and pipeline across VC, growth equity, private equity, crossover funds, sovereign wealth, family offices and corporate venture arms.
3. Cultivate a core group of long-term foundational investors ahead of each round, with a regular cadence of updates and meetings.
4. Shape the equity story with the CFO and CEO: deck, data room, model narrative and answers to diligence.
5. Structure non-dilutive and hybrid capital with the CFO, including strategic investments, venture debt, equipment and fleet financing for RaaS, and customer-funded capacity.
6. Help lay the groundwork for a public exit: investor base quality, crossover readiness and relationships with banks and long- only funds.
Strategic partnerships (with the CFO and CBO)
1. Originate, structure and close strategic alliances with industrial OEMs, logistics operators, compute and AI platforms, and supply-chain partners.
2. Design deal structures that combine commercial and capital terms: strategic equity, joint ventures, co-development, volume commitments, compute-for-equity and regional partnerships.
3. Own the partner relationship at executive level after signing, so each alliance delivers its commercial, technical and capital commitments.
4. Map the strategic landscape: who is investing in robotics and embodied AI, how, and where Humanoid fits.
Across both
1. Run one pipeline that links investor conversations to partnership opportunities, avoiding conflicts with competitor holdings.
2. Gate access to the CEO and founders so leadership time goes to the highest-value conversations.
3. Report pipeline, forecast and deal status to the CFO, CBO and board.
You have sat on both sides of the table: investing at a top-tier venture firm, then raising capital and closing strategic deals for a high-growth company.
Required
Top-tier VC experience: 4+ years as an investor (Principal, Partner or equivalent) at a leading venture or growth firm,ideally with exposure to deep tech, robotics, AI or industrial technology.
Fundraising track record across all three capital sources: led or co-led raises from venture capital, private equity or growth equity, and strategic or corporate investors. Be ready to walk us through specific rounds, sizes, investors and your role.
Strong relationships at strategic partners: trusted, senior-level contacts at industrial OEMs, automotive and manufacturing groups, logistics operators, semiconductor and compute companies, or their corporate venture arms.
Deal structuring: hands-on negotiation of term sheets, strategic investments, joint ventures or commercial agreements with capital attached.
Network: active relationships with growth, crossover and sovereign investors in the US and Europe.
Experience: 12+ years across investing, corporate development, investment banking or a startup finance or business leadership role.
Financial fluency: you can defend a financial model, valuation and cap table in front of a demanding investment committee.
Nice to have
Operating experience at a hardware, robotics, autonomy or industrial AI company after Series B
Experience with IPO preparation, crossover rounds or a US–UK corporate restructuring
Exposure to non-dilutive capital: venture debt, asset or fleet financing, government grants and defence or industrial programmes
Relationships with Gulf, Asian or European sovereign and strategic investors MBA, CFA or equivalent
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Humanoid is seeking a Head of Solutions Engineering to turn customer operational needs into feasible, commercially compelling robotics solutions. Based in Boston, you will partner with the Commercial, Product, Engineering and Deployment teams to lead technical discovery, define customer requirements and build a clear path from initial evaluation to scaled deployment.
Initially, you will be the core individual contributor: personally visiting customer sites, designing solutions, developing technical proposals and creating the pre-sales material the Commercial team needs. As demand grows, you will establish and lead the Solutions Engineering function across the UK/EU, US and MENA, hiring and developing regional engineers while retaining direct involvement in strategic opportunities.
Customer discovery and requirements:
Lead customer site visits and operational assessments to understand workflows, volumes, layouts, materials, shift patterns and constraints; identify repeatable, high-value use cases for humanoid robotics.
Align customer Operations, Engineering, IT, Safety, Procurement and executive stakeholders on the problem to solve and measurable success criteria, including throughput, availability, accuracy and human intervention.
Build credible business cases and fleet-sizing models covering utilisation, labour assumptions, total cost of ownership, payback and sensitivity to performance and deployment ramp-up.
Solution design and Product partnership:
Define solution concepts, workflows, layouts, robot configurations, infrastructure and interfaces with customer systems such as WMS, MES, ERP and existing automation.
Work with Product and Engineering to validate feasibility, distinguish demonstrated capabilities from development requirements, and agree capability gaps, owners, validation plans and realistic timelines.
Translate customer demand into prioritised Product requirements, balancing commercial value, engineering effort and the potential to reuse capabilities across customers.
Identify safety, cybersecurity and deployment compliance requirements, coordinating with the relevant specialists and documenting the actions needed for customer approval.
Technical pre-sales and commercial enablement:
Own the technical content of proposals, solution specifications, statements of work, RFI/RFP responses and customer technical due diligence, working with Commercial and Legal on commitments.
Provide technical cost and resource estimates to support pricing, deployment planning and commercial risk assessment.
Create and maintain the full pre-sales technical library: capability and performance evidence, use-case descriptions, technical presentations, reference architectures, layouts, integration guides, FAQs, demonstration assets, business-case models and requirements/SOW templates.
Train Commercial colleagues and relevant partners to qualify use cases, gather the right site data and communicate approved technical capabilities consistently.
Use operational modelling and simulation to assess suitability and deployment economics, including Humanoid AnalitIQ where appropriate.
Validation, acceptance and deployment handover:
Define the technical scope of demonstrations, proofs of concept and pilots, including baseline measurements, test conditions, resources, milestones, pass/fail criteria and the evidence required for acceptance.
Work with Commercial to connect each evaluation to a measurable long-term business case and a credible path to larger fleet or multi-site deployment.
Coordinate technical input to trials with Product, Engineering and Deployment; evaluate results, resolve gaps and translate learning into revised requirements and reusable material.
Build and lead the global function:
Define the Solutions Engineering operating model, ownership, technical review process and engagement with regional sales teams, Product, Engineering and Deployment.
Develop a phased hiring and coverage plan across the UK/EU, US and MENA, aligned to pipeline value, opportunity complexity, travel demand and delivery capacity.
Recruit, onboard, coach and lead regional Solutions Engineers, establishing consistent standards for discovery, solution design, technical documentation and commercial judgement.
Establish the tools, CRM discipline, knowledge base and reporting needed to track requirements, feasibility decisions, proposal progress, technical risks and team performance.
8+ years of proven experience in Solutions Engineering, Solutions Architecture, Pre-Sales Engineering or a similar customer-facing technical role, ideally within robotics, industrial automation or complex hardware solutions.
Solid understanding of industrial workflows, automation systems and integrations with platforms such as WMS, MES and ERP.
Strong commercial acumen, with experience building business cases, ROI models, fleet-sizing estimates, TCO assessments and deployment cost models.
Ability to work cross-functionally with Commercial, Product, Engineering, Deployment and customer stakeholders to validate feasibility, manage technical risks and align on delivery commitments.
Direct experience with humanoid robotics, autonomous mobile robots (AMRs), industrial robotics or AI-driven automation.
Familiarity with operational modelling, simulation tools and robotics deployment economics.
Experience scaling a Solutions Engineering or technical pre-sales function in a high-growth technology company.
Willingness to travel to customer sites and work closely with teams and customers across the UK/EU, US and MENA.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are on a mission to redefine robotics by creating humanoids that mimic human dexterity, precision, and flexibility.
As a Robotics Prototype Engineer, you will play a key role in assembling, testing, and validating cutting-edge humanoid robots.
This position requires strong technical expertise in robotic assembly, sensor calibration, and the ability to collaborate closely with engineers to troubleshoot and optimize robotic humanoid systems. If you're passionate about hands-on work with high-tech robotic systems and contributing to the next generation of humanoid robots, we'd love to hear from you.
Assembly and Integration: Assemble and integrate robotic end-effectors, ensuring all components (actuators, sensors, and electro-mechanical parts) function correctly.
Testing and Troubleshooting: Perform rigorous testing to evaluate the robotic components. Troubleshoot and resolve hardware and software integration issues.
Calibration: Calibrate sensors and commission actuators to achieve optimal performance with respect to the system requirements and expected outcomes.
Prototyping and Development: Assist the R&D team in prototyping new robotic designs by providing feedback, assembling prototypes, and testing new components.
Technical Support: Provide hands-on support for mechanical and electrical engineers in integrating actuators and sensors into the humanoid robot. Provide support worldwide.
Documentation: Document test results, system issues, failure analyses, and corrective actions. Create technical manuals, SOP and maintenance guides for robotic systems.
Maintenance and Upgrades: Perform routine maintenance and upgrades on robotic subassemblies on a system level, ensuring continuous performance and durability.
Collaboration: Work closely with the mechanical, electrical, and firmware teams to address issues related to electro-mechanical performance and sensor feedback.
Equipment and Inventory Management: Maintain specialized tools, equipment, and components. Ensure that inventory levels of critical parts such as actuators and sensors are regularly checked and replenished. Maintain a clean and organized workspace.
Education: Bachelor’s degree in Robotics, Mechatronics, or a related engineering field.
3+ years of experience in assembling, testing, and troubleshooting robotic systems, with a focus on precision mechanics, custom electronics, and sensor integration.
Strong proficiency in assembling robotic components and integrating complex mechanical and electrical systems.
Hands-on experience with fine-pitch soldering and thin cable assembly techniques.
Familiarity with calibrating actuators, sensors, and robotic control system applications.
Collaboration: Excellent communication and teamwork skills, with the ability to work closely with cross-functional teams.
Problem-Solving: Strong analytical and troubleshooting skills with the ability to diagnose issues and implement corrective actions efficiently.
Attention to Detail: High attention to detail in handling delicate components and ensuring precise assembly of complex systems.
Experience with Robotics: Background in humanoid robot development, particularly in hand/arm systems or robotic manipulation.
Prototyping Skills: Experience with rapid prototyping tools such as 3D printing from FDM and SLA Resin, CNC machining, or laser cutting for robotic component fabrication.
Sensor Knowledge: Familiarity with tactile sensors, force sensors, various actuator encoders, and other sensory technologies used in robotics.
Actuators and Motors: Experience with motor control drive systems, drive tuning, motor performance analysis, encoder protocols, drive safety protocols and system wiring.
Human-Robot Interaction (HRI): Knowledge or experience in designing for human-robot interaction, especially in contexts where robots handle delicate or interactive tasks.
Advanced Tools: Experience working with specialized robotic testing equipment and tools, such as precision measuring instruments, environmental testing equipment.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $80,000–$95,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe are on a mission to redefine robotics by creating humanoids that mimic human dexterity, precision, and flexibility.\n\nAs a Robotics Prototype Engineer, you will play a key role in assembling, testing, and validating cutting-edge humanoid robots.\n\nThis position requires strong technical expertise in robotic assembly, sensor calibration, and the ability to collaborate closely with engineers to troubleshoot and optimize robotic humanoid systems. If you're passionate about hands-on work with high-tech robotic systems and contributing to the next generation of humanoid robots, we'd love to hear from you.\n\n\n\n\nWHAT YOU’LL DO\n\n - Assembly and Integration: Assemble and integrate robotic end-effectors, ensuring all components (actuators, sensors, and electro-mechanical parts) function correctly.\n\n - Testing and Troubleshooting: Perform rigorous testing to evaluate the robotic components. Troubleshoot and resolve hardware and software integration issues.\n\n - Calibration: Calibrate sensors and commission actuators to achieve optimal performance with respect to the system requirements and expected outcomes.\n\n - Prototyping and Development: Assist the R&D team in prototyping new robotic designs by providing feedback, assembling prototypes, and testing new components.\n\n - Technical Support: Provide hands-on support for mechanical and electrical engineers in integrating actuators and sensors into the humanoid robot. Provide support worldwide.\n\n - Documentation: Document test results, system issues, failure analyses, and corrective actions. Create technical manuals, SOP and maintenance guides for robotic systems.\n\n - Maintenance and Upgrades: Perform routine maintenance and upgrades on robotic subassemblies on a system level, ensuring continuous performance and durability.\n\n - Collaboration: Work closely with the mechanical, electrical, and firmware teams to address issues related to electro-mechanical performance and sensor feedback.\n\n - Equipment and Inventory Management: Maintain specialized tools, equipment, and components. Ensure that inventory levels of critical parts such as actuators and sensors are regularly checked and replenished. Maintain a clean and organized workspace.\n\n\nWE’RE LOOKING FOR\n\n - Education: Bachelor’s degree in Robotics, Mechatronics, or a related engineering field.\n\n - 3+ years of experience in assembling, testing, and troubleshooting robotic systems, with a focus on precision mechanics, custom electronics, and sensor integration.\n\n - Strong proficiency in assembling robotic components and integrating complex mechanical and electrical systems.\n\n - Hands-on experience with fine-pitch soldering and thin cable assembly techniques.\n\n - Familiarity with calibrating actuators, sensors, and robotic control system applications.\n\n - Collaboration: Excellent communication and teamwork skills, with the ability to work closely with cross-functional teams.\n\n - Problem-Solving: Strong analytical and troubleshooting skills with the ability to diagnose issues and implement corrective actions efficiently.\n\n - Attention to Detail: High attention to detail in handling delicate components and ensuring precise assembly of complex systems.\n\n\nBONUS QUALIFICATIONS\n\n - Experience with Robotics: Background in humanoid robot development, particularly in hand/arm systems or robotic manipulation.\n\n - Prototyping Skills: Experience with rapid prototyping tools such as 3D printing from FDM and SLA Resin, CNC machining, or laser cutting for robotic component fabrication.\n\n - Sensor Knowledge: Familiarity with tactile sensors, force sensors, various actuator encoders, and other sensory technologies used in robotics.\n\n - Actuators and Motors: Experience with motor control drive systems, drive tuning, motor performance analysis, encoder protocols, drive safety protocols and system wiring.\n\n - Human-Robot Interaction (HRI): Knowledge or experience in designing for human-robot interaction, especially in contexts where robots handle delicate or interactive tasks.\n\n - Advanced Tools: Experience working with specialized robotic testing equipment and tools, such as precision measuring instruments, environmental testing equipment.\n\n\nWHAT WE OFFER\n\n - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.\n\n - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.\n\n - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\n\n\nFor this role in Vancouver, the expected base salary range is $80,000–$95,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"92fbd18c-7219-41fe-a8a9-fc3c5ce23c91","title":"Inventory/Warehouse Specialist","department":"Operations","team":"Supply Chain & Logistics","employmentType":"FullTime","location":"US, Boston, MA","secondaryLocations":[],"publishedAt":"2026-10-13T20:52:48.451+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"1 Broadway","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/92fbd18c-7219-41fe-a8a9-fc3c5ce23c91","applyUrl":"https://jobs.ashbyhq.com/humanoid/92fbd18c-7219-41fe-a8a9-fc3c5ce23c91/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As our Inventory Specialist, you'll make sure our engineers always have the right parts, in the right place, at the right time. You will run day-to-day receiving, storage, stock control, cycle counting and kitting for the hardware side of a small, fast-moving team of around 40 engineers building cutting-edge humanoid robots. site, keeping material flowing accurately into prototype builds. This is a senior individual-contributor role: we need someone competent and self-directed who can run the site’s stores with minimal supervision.
Boston Site Focus
Be the first dedicated hands-on warehouse resource in Boston, setting up and organizing the stores area, location structure and labelling, and supporting the site’s prototype builds with accurate receiving, storage and kitting.
Get the site’s prototype material ready for builds, working with the SCM Lead Boston and the local Senior Buyer on inbound material and priorities, including long lead-time items, so shortages are flagged early.
Keep stock records and inventory reporting aligned with the other Humanoid sites so material can be seen and planned globally, and help shape how the site tracks inventory as it grows.
Follow OSHA and applicable Massachusetts workplace safety requirements, including safe handling and storage of materials.
Goods Receiving & Put-away
Receive inbound deliveries from suppliers, carriers and 3PL partners; check paperwork against the purchase order and inspect goods for damage, shortages or non-conformance.
Record goods receipts accurately on the day of arrival in JIRA and the site’s inventory tracking sheets, and put material away to the correct, labelled location.
Segregate and record quarantined, rejected and non-conforming stock, and support the return-to-supplier process with the SCM and quality teams.
Handle ESD-sensitive, high-value, serialized and lot-controlled components with the care they need, maintaining traceability from receipt to build.
Inventory Control & Stock Accuracy
Run daily and weekly cycle counts to the global schedule, investigate variances at root cause, and record adjustments with proper authorization.
Own stock accuracy for the site: keep physical stock, inventory records and locations in agreement, and report accuracy KPIs to the SCM Lead and global WILP team.
Set, review and maintain minimum / maximum (safety stock) levels for the site’s consumables, common parts and high-usage items, working with the SCM Lead and the planning team, and raise replenishment requests before stock runs short.
Support periodic and year-end stocktakes, and flag ageing, excess, obsolete or slow-moving stock early.
Keep every movement (transfers, issues, returns, scrap) recorded in JIRA and the inventory sheets in real time, so no stock goes untracked.
Use Excel or Google Sheets, and AI tools where they help, to build and maintain count plans, stock reports and variance analysis, and to automate repetitive tracking tasks.
Material Movement, Kitting & Build Support
Pick, stage and deliver kits to the build area against BOM and build schedule, and check kits are complete and correct before release.
Respond to urgent pick requests and shortages from engineering and production, and give procurement and planning a clear, early view of material gaps.
Manage material issues to builds and returns of unused material back to stock, with accurate records throughout.
Move material between storage, kitting, build and test areas safely using pallet trucks and other manual handling.
Dispatch, Returns & Inter-site Transfers
Prepare outbound shipments, supplier returns and rework loops, and arrange collection with carriers or 3PL partners.
Prepare accurate shipping and customs paperwork for parts and sub-assemblies moving between Humanoid sites (London, Boston and Vancouver), working with the Logistics team so shipments clear without delay.
Track inbound and outbound shipments and chase delays before they affect builds.
Site Operations, Safety & Continuous Improvement
Keep the stores area clean, organised, safe and compliant with local health and safety requirements.
Maintain location structure, labelling and storage layout, and apply 5S principles.
Support the site asset register by tagging, locating and verifying tools, fixtures and equipment held in stores, and keeping custody and location records up to date. Ownership of the master asset list sits outside this role.
Suggest and help implement practical improvements to receiving, storage, kitting and counting processes, and follow global warehouse and inventory SOPs.
Cover the site’s warehouse needs independently, and escalate issues that need SCM Lead or global WILP support in good time.
Expectations
Work with a high degree of autonomy, setting your own daily priorities with minimal supervision.
Act as the site’s subject-matter expert for receiving, stock control and kitting, and a go-to person for colleagues in engineering, production and procurement.
Train, coach and support colleagues and temporary or contract staff on warehouse processes and inventory tracking.
Help build, document and improve the site’s warehouse processes as the team grows.
Not a people-management role: you will set the standard and lead by example on site.
On-site role in a warehouse and stores environment, including standing, walking and regular manual handling (lifting up to 23 kg / 50 lb, with equipment available for heavier loads).
Essential Experience & Skills
4+ years of proven hands-on experience in a warehouse, stores or inventory control role, ideally in manufacturing, electronics, robotics, aerospace, automotive or a prototype/R&D build environment.
Practical, hands-on use of Excel or Google Sheets (formulas, lookups, pivots, simple dashboards) and the confidence to use AI tools to make stock tracking and reporting faster and more accurate.
Experience of cycle counting and stock reconciliation, including investigating and resolving variances.
Experience of kitting and material issue to production against BOMs, and the ability to read a BOM and drawings.
Comfortable using Slack and collaborating digitally with remote teams.
Able to work safely in a physical warehouse environment, including regular lifting and moving of materials with or without reasonable accommodation.
Some flexibility in working hours may be needed to support urgent builds and time-critical deliveries.
Qualifications & Site Requirements
Degree or diploma in supply chain, logistics, business or a related field, or equivalent practical experience; a warehouse or logistics certificate is a plus.
OSHA 10-hour general industry training is an advantage.
Awareness of U.S. DOT hazardous materials shipping requirements is an advantage.
Legally authorised to work in the United States.
Desirable
Experience in a small, fast-moving or start-up environment where processes are still being built.
Experience of JIRA or a similar ticketing system, or of an ERP or warehouse management system. Not required: full training on our JIRA-based processes will be given.
Familiarity with handling lithium batteries and other regulated or hazardous components.
Exposure to working with 3PL providers, carriers and import/export documentation.
Lean or 5S training, or an inventory/warehouse qualification such as APICS CPIM or an equivalent.
Behavioral Skills
Ownership and reliability: you finish what you start and you are accurate every time.
Methodical, organized and detail-focused, with a strong sense of accuracy and compliance.
Clear, proactive communication with engineering, production, procurement and the London-based leadership team across time zones.
Comfortable working independently and sound judgement on when to escalate.
Flexible and practical in a fast-paced, changing environment, with willingness to support build peaks.
A problem-solving mindset and a positive, hands-on attitude.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $60K–$80K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nAs our Inventory Specialist, you'll make sure our engineers always have the right parts, in the right place, at the right time. You will run day-to-day receiving, storage, stock control, cycle counting and kitting for the hardware side of a small, fast-moving team of around 40 engineers building cutting-edge humanoid robots. site, keeping material flowing accurately into prototype builds. This is a senior individual-contributor role: we need someone competent and self-directed who can run the site’s stores with minimal supervision.\n\n\n\n\nWHAT YOU'LL DO\n\nBoston Site Focus\n\n - Be the first dedicated hands-on warehouse resource in Boston, setting up and organizing the stores area, location structure and labelling, and supporting the site’s prototype builds with accurate receiving, storage and kitting.\n\n - Get the site’s prototype material ready for builds, working with the SCM Lead Boston and the local Senior Buyer on inbound material and priorities, including long lead-time items, so shortages are flagged early.\n\n - Keep stock records and inventory reporting aligned with the other Humanoid sites so material can be seen and planned globally, and help shape how the site tracks inventory as it grows.\n\n - Follow OSHA and applicable Massachusetts workplace safety requirements, including safe handling and storage of materials.\n\nGoods Receiving & Put-away\n\n - Receive inbound deliveries from suppliers, carriers and 3PL partners; check paperwork against the purchase order and inspect goods for damage, shortages or non-conformance.\n\n - Record goods receipts accurately on the day of arrival in JIRA and the site’s inventory tracking sheets, and put material away to the correct, labelled location.\n\n - Segregate and record quarantined, rejected and non-conforming stock, and support the return-to-supplier process with the SCM and quality teams.\n\n - Handle ESD-sensitive, high-value, serialized and lot-controlled components with the care they need, maintaining traceability from receipt to build.\n\nInventory Control & Stock Accuracy\n\n - Run daily and weekly cycle counts to the global schedule, investigate variances at root cause, and record adjustments with proper authorization.\n\n - Own stock accuracy for the site: keep physical stock, inventory records and locations in agreement, and report accuracy KPIs to the SCM Lead and global WILP team.\n\n - Set, review and maintain minimum / maximum (safety stock) levels for the site’s consumables, common parts and high-usage items, working with the SCM Lead and the planning team, and raise replenishment requests before stock runs short.\n\n - Support periodic and year-end stocktakes, and flag ageing, excess, obsolete or slow-moving stock early.\n\n - Keep every movement (transfers, issues, returns, scrap) recorded in JIRA and the inventory sheets in real time, so no stock goes untracked.\n\n - Use Excel or Google Sheets, and AI tools where they help, to build and maintain count plans, stock reports and variance analysis, and to automate repetitive tracking tasks.\n\nMaterial Movement, Kitting & Build Support\n\n - Pick, stage and deliver kits to the build area against BOM and build schedule, and check kits are complete and correct before release.\n\n - Respond to urgent pick requests and shortages from engineering and production, and give procurement and planning a clear, early view of material gaps.\n\n - Manage material issues to builds and returns of unused material back to stock, with accurate records throughout.\n\n - Move material between storage, kitting, build and test areas safely using pallet trucks and other manual handling.\n\nDispatch, Returns & Inter-site Transfers\n\n - Prepare outbound shipments, supplier returns and rework loops, and arrange collection with carriers or 3PL partners.\n\n - Prepare accurate shipping and customs paperwork for parts and sub-assemblies moving between Humanoid sites (London, Boston and Vancouver), working with the Logistics team so shipments clear without delay.\n\n - Track inbound and outbound shipments and chase delays before they affect builds.\n\nSite Operations, Safety & Continuous Improvement\n\n - Keep the stores area clean, organised, safe and compliant with local health and safety requirements.\n\n - Maintain location structure, labelling and storage layout, and apply 5S principles.\n\n - Support the site asset register by tagging, locating and verifying tools, fixtures and equipment held in stores, and keeping custody and location records up to date. Ownership of the master asset list sits outside this role.\n\n - Suggest and help implement practical improvements to receiving, storage, kitting and counting processes, and follow global warehouse and inventory SOPs.\n\n - Cover the site’s warehouse needs independently, and escalate issues that need SCM Lead or global WILP support in good time.\n\nExpectations\n\n - Work with a high degree of autonomy, setting your own daily priorities with minimal supervision.\n\n - Act as the site’s subject-matter expert for receiving, stock control and kitting, and a go-to person for colleagues in engineering, production and procurement.\n\n - Train, coach and support colleagues and temporary or contract staff on warehouse processes and inventory tracking.\n\n - Help build, document and improve the site’s warehouse processes as the team grows.\n\n - Not a people-management role: you will set the standard and lead by example on site.\n\n - On-site role in a warehouse and stores environment, including standing, walking and regular manual handling (lifting up to 23 kg / 50 lb, with equipment available for heavier loads).\n\n\nWHAT WE'RE LOOKING FOR\n\nEssential Experience & Skills\n\n - 4+ years of proven hands-on experience in a warehouse, stores or inventory control role, ideally in manufacturing, electronics, robotics, aerospace, automotive or a prototype/R&D build environment.\n\n - Practical, hands-on use of Excel or Google Sheets (formulas, lookups, pivots, simple dashboards) and the confidence to use AI tools to make stock tracking and reporting faster and more accurate.\n\n - Experience of cycle counting and stock reconciliation, including investigating and resolving variances.\n\n - Experience of kitting and material issue to production against BOMs, and the ability to read a BOM and drawings.\n\n - Comfortable using Slack and collaborating digitally with remote teams.\n\n - Able to work safely in a physical warehouse environment, including regular lifting and moving of materials with or without reasonable accommodation.\n\n - Some flexibility in working hours may be needed to support urgent builds and time-critical deliveries.\n\nQualifications & Site Requirements\n\n - Degree or diploma in supply chain, logistics, business or a related field, or equivalent practical experience; a warehouse or logistics certificate is a plus.\n\n - OSHA 10-hour general industry training is an advantage.\n\n - Awareness of U.S. DOT hazardous materials shipping requirements is an advantage.\n\n - Legally authorised to work in the United States.\n\nDesirable\n\n - Experience in a small, fast-moving or start-up environment where processes are still being built.\n\n - Experience of JIRA or a similar ticketing system, or of an ERP or warehouse management system. Not required: full training on our JIRA-based processes will be given.\n\n - Familiarity with handling lithium batteries and other regulated or hazardous components.\n\n - Exposure to working with 3PL providers, carriers and import/export documentation.\n\n - Lean or 5S training, or an inventory/warehouse qualification such as APICS CPIM or an equivalent.\n\nBehavioral Skills\n\n - Ownership and reliability: you finish what you start and you are accurate every time.\n\n - Methodical, organized and detail-focused, with a strong sense of accuracy and compliance.\n\n - Clear, proactive communication with engineering, production, procurement and the London-based leadership team across time zones.\n\n - Comfortable working independently and sound judgement on when to escalate.\n\n - Flexible and practical in a fast-paced, changing environment, with willingness to support build peaks.\n\n - A problem-solving mindset and a positive, hands-on attitude.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in Massachusetts, the expected base salary range is $60K–$80K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"1a74a54c-6a8b-41bd-b302-733d4f7b0e07","title":"Senior Deep Learning Engineer, Whole-Body Control","department":"Engineering","team":"Controls","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-15T08:02:38.824+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/1a74a54c-6a8b-41bd-b302-733d4f7b0e07","applyUrl":"https://jobs.ashbyhq.com/humanoid/1a74a54c-6a8b-41bd-b302-733d4f7b0e07/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots.
You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors.
You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.
Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors.
Develop motion primitives using different learning based generative models.
Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control.
Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo.
Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data.
Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots.
Optimize policy inference and training systems for the performance and latency requirements of real-time control.
Integrate learned policies into the broader robot control and autonomy stack.
BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field.
3+ years of experience developing machine learning systems in industry or research.
Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging.
Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning.
Strong Python and PyTorch experience.
Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms.
Ability to reason about learning algorithms in the context of dynamics, control, and physical systems.
Nice to have:
Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems.
Experience with whole-body control, locomotion, motion imitation, or loco-manipulation.
Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap.
Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations.
Experience training policies at scale across large numbers of simulated environments.
Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Head of Workplace & Facilities based in London, you will be responsible for ensuring our teams operate in environments that are not only functional and safe—but scalable, adaptable, and built for the pace of high-growth product development. From brownfield build-outs to continuous upgrades, you will translate company-wide requirements into fit-for-purpose, high-performance facilities.
You will own the planning, delivery, and management of all physical environments that enable engineering and company operations—from collaborative workspaces and lab floors to test zones and logistics areas. You will lead brownfield and retrofit programmes across our sites, ensuring they meet the exacting needs of modern robotics engineering
This is a highly cross-functional, technically grounded leadership role. You’ll partner with hardware, software, and operations teams to turn functional requirements into physical reality—ensuring that space never becomes a blocker to speed, safety, or innovation.
This role also includes accountability for general office management, including oversight of our workplace operations team and front-of-house function. You’ll ensure the daily experience in each site reflects our culture and values—providing a seamless, well-run environment for employees, visitors, and partners.
Facility Strategy & Planning
Define and lead the physical environment strategy across lab, workspace, test, integration, prototype manufacturing, and office areas
Translate functional and technical requirements from all parts of the business into clear, scalable space plans
Lead site assessments, feasibility studies, and future planning across global locations
Develop and maintain design standards for our labs and shared workspaces
Programme Delivery (Brownfield & Fit-Out)
Own the full lifecycle of facility programmes: scoping, budgeting, planning, contractor management, delivery, and commissioning
Oversee brownfield upgrades to enable evolving R&D, prototype manufacturing, and testing needs
Manage external architects, engineers, contractors, and consultants
Coordinate delivery timelines with product, hiring, and operational roadmaps
Prototype Manufacturing & Lab Readiness
Ensure infrastructure supports mechatronics-heavy workflows including actuator assembly, sub-system integration, electronics rework, and test rig operation
Define layouts and utility requirements (power, ESD, ventilation, compressed air, equipment mounting, etc.) for in-house prototyping and low-volume builds
Establish protocols for safe operation, material flow, and flexible reconfiguration of physical spaces
Office Operations & Workplace Experience
Lead general office and workplace management across all global sites
Oversee a dedicated office and reception team, ensuring smooth daily operations, visitor experience, and front-of-house service
Maintain a welcoming, professional, and functional workplace aligned with our culture and operational rhythm
Partner with People and IT to ensure workspaces support hybrid collaboration, new joiner onboarding, and employee well-being
Facility Operations & Lifecycle Management
Set up and oversee systems for space allocation, access control, maintenance, and infrastructure monitoring
Lead improvements in facility uptime, utilisation, safety, and team experience
Manage shared infrastructure including lab services, AV, security, physical IT, and environment monitoring
Maintain compliance with local codes, safety regulations, and relevant R&D standards
Cross-Functional Collaboration
Partner with stakeholders across engineering, manufacturing, people, logistics, IT, and workplace operations
Work with executive leadership to develop long-term facilities strategy, capital planning, and space forecasting
Represent facilities in company-wide planning processes, including headcount growth and program milestones
Drive alignment between physical infrastructure and company objectives
10+ years of experience in facilities, technical operations, or capital project delivery in R&D or advanced manufacturing environments
Proven track record managing brownfield retrofits and complex fit-out programmes
Strong technical understanding of infrastructure requirements for labs, prototype manufacturing, and mixed-use technical spaces
Experience overseeing general office operations, reception, and workplace experience functions
Fluency across building systems (power, HVAC, ventilation, ESD, security, etc.) and health & safety best practices
Highly organised, delivery-focused, and skilled in leading cross-functional capital programmes from start to finish
Nice to have
Experience in robotics, aerospace, automation, or electromechanical product development
Familiarity with ISO/cleanroom environments, build/test zones, or controlled lab standards
Track record building or scaling physical infrastructure in high-growth organisations
Experience with real estate strategy, landlord/tenant negotiations, or hybrid campus models
Competitive equity: stock options with meaningful upside as we scale.
30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems.
You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members.
This role combines substantial engineering work with technical leadership and delivery ownership.
Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment.
Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards.
Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early.
Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost.
Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows.
Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling.
Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery.
Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures.
Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid.
Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.
Experience building, deploying and operating production software on a major cloud platform.
Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD.
Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code.
Experience with data pipelines, object storage, relational databases and reliable processing of large datasets.
Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely.
Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards.
Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work.
Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists.
Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack.
The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are looking for a Senior Prototype Engineer to drive the development, assembly, integration, and validation of advanced humanoid robotic systems, with a particular focus on robotic hands, arms, end-effectors, and complex electromechanical mechanisms.
This role combines deep hands-on engineering expertise with proven technical leadership and team management experience. You will take ownership of complex prototype development activities, guide engineering execution, and work closely with Mechanical, Electrical, Embedded Software, and Controls teams to transform innovative designs into reliable, high-performance robotic systems.
We are looking for someone who has successfully led and developed technical teams, established efficient prototyping processes, and delivered complex hardware projects in fast-moving engineering environments.
As our Vancouver robotics operations continue to grow, this position offers the opportunity to progress into a broader technical leadership role, helping shape our prototyping capabilities, engineering standards, and team development.
Your work will directly influence the technical quality, development speed, and scalability of Humanoid's next-generation robotic platforms.
Take ownership of complex humanoid robot prototyping, including dexterous hands, arms, actuators, and advanced electromechanical assemblies.
Combine hands-on engineering with technical leadership, guiding complex prototype development from concept through validation.
Apply your previous team management and mentoring experience to strengthen engineering execution and build effective prototyping practices.
Solve challenging problems in robotic manipulation, precision actuation, sensor integration, and hardware-software interaction.
Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, embedded software, and controls.
Play a key role in scaling Humanoid's prototyping capabilities, with potential to grow into a broader team leadership position.
Lead the development, assembly, integration, and commissioning of complex robotic prototypes, including hands, arms, end-effectors, actuators, sensors, and electromechanical subsystems.
Take ownership of prototype development from initial build through calibration, testing, debugging, validation, and design iteration.
Provide technical leadership and direction to engineers and technicians, helping establish priorities, resolve engineering challenges, and maintain execution quality.
Apply previous team management experience to mentor technical team members, develop capabilities, and establish effective engineering workflows.
Coordinate prototype development activities, ensuring clear technical priorities, efficient resource allocation, and alignment with engineering milestones.
Drive advanced hardware troubleshooting, root-cause analysis, and failure investigation across mechanical, electrical, and embedded systems.
Oversee the integration, calibration, and performance optimization of actuators, encoders, force/torque sensors, tactile sensors, and robotic control interfaces.
Partner with Mechanical, Electrical, Embedded Software, and Controls teams to identify design limitations, integration risks, and opportunities for performance improvement.
Lead and contribute to technical design reviews, providing practical engineering feedback on assembly, reliability, serviceability, and manufacturability.
Establish and improve prototype assembly procedures, integration workflows, testing methodologies, and validation standards.
Drive rapid prototyping and engineering iteration, ensuring timely resolution of technical blockers and efficient development cycles.
Support system-level testing, performance characterization, reliability assessments, and prototype-to-production transitions.
Develop and maintain technical documentation, including assembly instructions, test procedures, troubleshooting guides, SOPs, and engineering reports.
Collaborate with engineering and program leadership to plan prototype builds, track technical progress, manage risks, and communicate development priorities.
Work closely with teams across Vancouver, London, and Boston, supporting cross-site integration and technical collaboration.
Promote a safe, organized, and efficient prototyping environment, maintaining appropriate tools, equipment, and engineering practices.
10+ years of professional experience in robotics prototyping, mechatronics, electromechanical integration, or advanced robotic hardware development.
5+ years of proven track record directing technician groups within a dynamic research and development setting.
Demonstrated experience mentoring, developing, and coordinating technical team members, with the ability to establish priorities and drive engineering execution.
Bachelor's or Master's degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical engineering experience.
Strong hands-on experience building, integrating, testing, and troubleshooting complex robotic or electromechanical systems.
Proven track record of taking complex hardware prototypes from concept through integration, commissioning, validation, and delivery.
Deep understanding of precision mechanical assemblies, actuators, motors, sensors, wiring, and embedded hardware interfaces.
Experience with fine-pitch soldering, precision wiring, cable assemblies, connectors, and electrical integration.
Strong knowledge of actuator commissioning, sensor calibration, motor control interfaces, and robotic system testing.
Ability to interpret mechanical drawings, electrical schematics, wiring diagrams, and engineering documentation.
Experience using laboratory and diagnostic equipment, including oscilloscopes, multimeters, power supplies, and precision measurement instruments.
Demonstrated ability to lead complex troubleshooting, root-cause analysis, and engineering problem-solving activities.
Experience establishing or improving prototype assembly, integration, testing, and validation processes.
Strong project coordination skills, including technical planning, resource prioritization, risk management, and cross-functional execution.
Excellent communication skills, with the ability to collaborate effectively with engineering teams, technical leadership, and program stakeholders.
Ability to balance hands-on technical involvement with broader engineering leadership responsibilities in a fast-paced R&D environment.
Experience developing humanoid robots, dexterous robotic hands, robotic arms, or advanced manipulation systems.
Previous experience building, scaling, or managing a robotics prototyping, integration, or hardware development team.
Experience with multi-DoF robotic mechanisms, precision actuators, transmissions, and complex joint assemblies.
Experience with tactile sensors, force/torque sensors, encoders, IMUs, and robotic sensing technologies.
Knowledge of motor control systems, drive tuning, actuator performance analysis, EtherCAT, or CAN communication protocols.
Experience with rapid prototyping and fabrication, including FDM/SLA 3D printing, CNC machining, and laser cutting.
Familiarity with SolidWorks or similar CAD tools and the ability to perform mechanical design modifications.
Experience using Python, ROS/ROS2, or other tools for robotic hardware testing, calibration, or automation.
Experience developing automated test setups, hardware validation infrastructure, or data acquisition systems.
Experience supporting hardware NPI, prototype-to-production transitions, or low-volume robotic manufacturing.
Background in robotics, autonomous systems, aerospace, automotive, or advanced hardware startups.
Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As a Senior Robotics Integration Engineer in San Diego, you will build the hardware-in-the-loop (HIL) CI/CD system that makes this routine. A firmware change, a control-stack update, or a new locomotion policy runs on physical hardware within minutes of a push. Simulation catches most regressions. Your system catches the ones that only appear when metal moves. Every pull request, validated on real HMND hardware, automatically, before it merges.
We have bench rigs, partial automation, and a strong simulation pipeline. You will harden what exists and build the next generation. You will also be the first dedicated test engineer in San Diego, and you will run HIL development as a shared effort across our offices so progress continues while one site is offline.
This is the long-term vision for HIL testing at Humanoid. You will be part of the global Integration & Test team that will set the technical direction and build the foundations. AI tools are central to how we build it. We expect you to use them heavily, from writing test platforms that can be used by all engineers to triaging failures and analyzing logs. We want someone excited to rethink how test infrastructure gets built.
Build PR-triggered pipelines that schedule, run, and report hardware tests: orchestration, device allocation, firmware flashing, power and reset control, data capture, and teardown.
Define what \"tested on hardware\" means. Build and grow regression infrastructure across motion control, locomotion, manipulation, perception, safety, and power, and enabling each new robot capability to be developed with automated coverage as it ships.
Design and run the HIL test farm, from single-actuator benches to full-robot test cells, operating safely and unattended with high uptime.
Build a hardware test signal engineers trust: per-PR reports, dashboards, and alerts, plus correlation of simulation and hardware results to surface sim-to-real gaps.
Work with embedded, controls, ML, mechanical, and manufacturing teams to make testability a design requirement, and align with the Integration & Testing team in London on shared strategy and tooling.
5+ years in test automation, CI/CD, or test and integration engineering for hardware products such as robotics, automotive, aerospace, or drones.
Experience building or scaling HIL or hardware-in-CI systems: rig design, test orchestration, device farms, or automated hardware regression.
Strong Python and/or C++, and fluency with CI/CD tooling (like GitHub Actions), including self-hosted runners on physical hardware.
Comfort at the hardware/software boundary: reading schematics, wiring a bench, debugging over CAN, EtherCAT, or serial, and scripting power supplies, DAQs, and instruments.
Experience with Nvidia based embedded targets and firmware flashing workflows and bootloader recovery via JTAG.
Experience with Linux based CLI systems.
A practical approach to flaky tests and to keeping a hardware test signal trustworthy.
Root cause analysis skills: telling a bad part from a bad assembly or a bad design.
Nice to have
ROS/ROS 2, real-time control, actuator or motor testing, force-torque sensing, or locomotion and manipulation test design.
Validating learned or RL policies on hardware, or sim-to-real work in Isaac Sim/Lab, MuJoCo, or Gazebo.
NVIDIA or similar edge-compute deployment.
Safety engineering exposure: functional safety, e-stop chains, ISO 10218 or ISO 13482.
Test fixture design, or working with technicians and machine shops to build fixtures.
Grafana, Prometheus, or custom telemetry pipelines for large test-log volumes.
Every policy that walks and every gripper that closes on a customer's production line will have passed through the infrastructure you build. Few roles connect your work to robots operating safely in the real world this directly.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with 4% employer match.
Competitive equity: stock options with meaningful upside as we scale.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $128K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior Robotics Integration Engineer in San Diego, you will build the hardware-in-the-loop (HIL) CI/CD system that makes this routine. A firmware change, a control-stack update, or a new locomotion policy runs on physical hardware within minutes of a push. Simulation catches most regressions. Your system catches the ones that only appear when metal moves. Every pull request, validated on real HMND hardware, automatically, before it merges.\n\nWe have bench rigs, partial automation, and a strong simulation pipeline. You will harden what exists and build the next generation. You will also be the first dedicated test engineer in San Diego, and you will run HIL development as a shared effort across our offices so progress continues while one site is offline.\n\nThis is the long-term vision for HIL testing at Humanoid. You will be part of the global Integration & Test team that will set the technical direction and build the foundations. AI tools are central to how we build it. We expect you to use them heavily, from writing test platforms that can be used by all engineers to triaging failures and analyzing logs. We want someone excited to rethink how test infrastructure gets built.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Build PR-triggered pipelines that schedule, run, and report hardware tests: orchestration, device allocation, firmware flashing, power and reset control, data capture, and teardown.\n\n - Define what \"tested on hardware\" means. Build and grow regression infrastructure across motion control, locomotion, manipulation, perception, safety, and power, and enabling each new robot capability to be developed with automated coverage as it ships.\n\n - Design and run the HIL test farm, from single-actuator benches to full-robot test cells, operating safely and unattended with high uptime.\n\n - Build a hardware test signal engineers trust: per-PR reports, dashboards, and alerts, plus correlation of simulation and hardware results to surface sim-to-real gaps.\n\n - Work with embedded, controls, ML, mechanical, and manufacturing teams to make testability a design requirement, and align with the Integration & Testing team in London on shared strategy and tooling.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years in test automation, CI/CD, or test and integration engineering for hardware products such as robotics, automotive, aerospace, or drones.\n\n - Experience building or scaling HIL or hardware-in-CI systems: rig design, test orchestration, device farms, or automated hardware regression.\n\n - Strong Python and/or C++, and fluency with CI/CD tooling (like GitHub Actions), including self-hosted runners on physical hardware.\n\n - Comfort at the hardware/software boundary: reading schematics, wiring a bench, debugging over CAN, EtherCAT, or serial, and scripting power supplies, DAQs, and instruments.\n\n - Experience with Nvidia based embedded targets and firmware flashing workflows and bootloader recovery via JTAG.\n\n - Experience with Linux based CLI systems.\n\n - A practical approach to flaky tests and to keeping a hardware test signal trustworthy.\n\n - Root cause analysis skills: telling a bad part from a bad assembly or a bad design.\n\nNice to have\n\n - ROS/ROS 2, real-time control, actuator or motor testing, force-torque sensing, or locomotion and manipulation test design.\n\n - Validating learned or RL policies on hardware, or sim-to-real work in Isaac Sim/Lab, MuJoCo, or Gazebo.\n\n - NVIDIA or similar edge-compute deployment.\n\n - Safety engineering exposure: functional safety, e-stop chains, ISO 10218 or ISO 13482.\n\n - Test fixture design, or working with technicians and machine shops to build fixtures.\n\n - Grafana, Prometheus, or custom telemetry pipelines for large test-log volumes.\n\n\nWHY THIS ROLE MATTERS\n\nEvery policy that walks and every gripper that closes on a customer's production line will have passed through the infrastructure you build. Few roles connect your work to robots operating safely in the real world this directly.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with 4% employer match.\n\n - Competitive equity: stock options with meaningful upside as we scale.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n\nFor this role in California, the expected base salary range is $128K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"122185dd-16f2-4051-9e23-cd9339bfc30c","title":"Robotics Applied Research Lead","department":"Engineering","team":"Robotics Data & Evaluation","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-29T17:04:38.413+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/122185dd-16f2-4051-9e23-cd9339bfc30c","applyUrl":"https://jobs.ashbyhq.com/humanoid/122185dd-16f2-4051-9e23-cd9339bfc30c/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function.
You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart:
Multimodal and embodied data
Transformer-based models and how data impacts robot policies
Rigorous offline and real-world evaluation of policies
Deployment of models in the data ecosystem
This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts.
You will also build a small research and engineering team. Add people only when the work requires them.
Turn Humanoid data and technical access into measurable advances in Physical AI systems.
You own the answers, and the evidence, to questions such as:
Which model families should we train, adapt, or evaluate?
Which data produces meaningful gains in robot performance?
What coverage, sensors, annotations, and quality controls do the models require?
Which offline measurements predict real-world robot performance?
Where should we adapt existing open models rather than train from scratch?
What should Humanoid build itself, and what should it reuse or obtain through partners?
Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation.
Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code.
Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection.
Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision.
Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems.
Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount.
Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.
Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement.
Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation.
Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost.
Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is.
Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work.
Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems.
Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years.
Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems.
Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We’re looking for a Software Engineer II to join our Platform Infrastructure team in San Diego. You’ll help build the software and tools that enable our robots to run trusted software on trusted hardware, working with security, firmware, and platform engineers across the device lifecycle.
Build and maintain software and tools for trusted boot and device provisioning, working with NVIDIA secure boot and UEFI. For example, you might help bring up a secure boot flow on a new device or build tooling to provision and verify device credentials.
Contribute to device trust and key protection using hardware roots of trust, including Trusted Platform Modules (TPMs), and security technologies such as ARM TrustZone.
Contribute to device key management though the use of Hardware Security Modules (HSMs).
Write, test, and debug software and scripts in Linux, and investigate issues across software and hardware.
Identify and reduce attack surfaces across device software, boot flows, and supporting tools.
Collaborate with security, firmware, cloud, manufacturing, and other engineering teams through design discussions, code reviews, and documentation; own well-scoped projects from design through implementation and testing, with input from experienced teammates.
You’re a curious, collaborative engineer who takes ownership, works through unfamiliar problems, and wants to deepen your skills in device security. You’ll bring:
Software engineering experience — Typically 1–3 years of full-time experience building, testing, and maintaining production-quality software, or equivalent experience.
You have a strong foundation in object-oriented programming and software design.
You can read and reason about code, identify logic errors, and learn to contribute across C++, Python, and Rust codebases
Prior experience in all three languages is not required. B.S. or M.S. in CS, CE, EE, or a related field.
AI-assisted development — You’re comfortable using AI-assisted development tools and can understand, review, and validate the code they produce.
Security fundamentals — Familiarity with authentication, encryption, cryptographic keys, and trust boundaries, and an interest in applying them to hardware devices.
Linux and tooling — Comfort working in Linux and using scripting languages such as Python or Bash to automate tasks, build tools, and investigate problems.
Problem-solving and collaboration — A thoughtful approach to unfamiliar problems, attention to detail, and the ability to communicate clearly, seek feedback, and follow work through.
Experience with key management and/or NVIDIA platforms, such as Jetson, is a plus
Ability to work on-site at our San Diego office.
Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
401(k) retirement plan with employer match.
Equity included–we believe builders should share in what they build.
Free daily catered lunch, snacks, and drinks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $123,000-$154,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
","descriptionPlain":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Software Engineer II to join our Platform Infrastructure team in San Diego. You’ll help build the software and tools that enable our robots to run trusted software on trusted hardware, working with security, firmware, and platform engineers across the device lifecycle.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain software and tools for trusted boot and device provisioning, working with NVIDIA secure boot and UEFI. For example, you might help bring up a secure boot flow on a new device or build tooling to provision and verify device credentials.\n\n - Contribute to device trust and key protection using hardware roots of trust, including Trusted Platform Modules (TPMs), and security technologies such as ARM TrustZone.\n\n - Contribute to device key management though the use of Hardware Security Modules (HSMs).\n\n - Write, test, and debug software and scripts in Linux, and investigate issues across software and hardware.\n\n - Identify and reduce attack surfaces across device software, boot flows, and supporting tools.\n\n - Collaborate with security, firmware, cloud, manufacturing, and other engineering teams through design discussions, code reviews, and documentation; own well-scoped projects from design through implementation and testing, with input from experienced teammates.\n\n\n\n\nWHAT YOU BRING\n\nYou’re a curious, collaborative engineer who takes ownership, works through unfamiliar problems, and wants to deepen your skills in device security. You’ll bring:\n\n - Software engineering experience — Typically 1–3 years of full-time experience building, testing, and maintaining production-quality software, or equivalent experience. \n \n - You have a strong foundation in object-oriented programming and software design. \n \n - You can read and reason about code, identify logic errors, and learn to contribute across C++, Python, and Rust codebases\n \n - Prior experience in all three languages is not required. B.S. or M.S. in CS, CE, EE, or a related field.\n\n - AI-assisted development — You’re comfortable using AI-assisted development tools and can understand, review, and validate the code they produce.\n\n - Security fundamentals — Familiarity with authentication, encryption, cryptographic keys, and trust boundaries, and an interest in applying them to hardware devices.\n\n - Linux and tooling — Comfort working in Linux and using scripting languages such as Python or Bash to automate tasks, build tools, and investigate problems.\n\n - Problem-solving and collaboration — A thoughtful approach to unfamiliar problems, attention to detail, and the ability to communicate clearly, seek feedback, and follow work through.\n\n - Experience with key management and/or NVIDIA platforms, such as Jetson, is a plus\n\n - Ability to work on-site at our San Diego office.\n\n\n\n\nWHAT WE OFFER\n\n - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.\n\n - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.\n\n - 401(k) retirement plan with employer match.\n\n - Equity included–we believe builders should share in what they build.\n\n - Free daily catered lunch, snacks, and drinks in‑office.\n\n - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.\n\n - Freedom to influence the product and own key initiatives.\n \n \n\nFor this role in California, the expected base salary range is $123,000-$154,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling."},{"id":"9528d281-080c-4586-a5c1-d05a5ddf4081","title":"Director, Contracts & Business Support","department":"Legal","team":"Legal","employmentType":"FullTime","location":"UK, London","secondaryLocations":[],"publishedAt":"2026-10-29T15:09:56.961+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"NW1 3BF","addressRegion":"London","streetAddress":"1 Triton Square","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/humanoid/9528d281-080c-4586-a5c1-d05a5ddf4081","applyUrl":"https://jobs.ashbyhq.com/humanoid/9528d281-080c-4586-a5c1-d05a5ddf4081/application","descriptionHtml":"Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Humanoid is seeking a Director of Contracts & Business Support to lead commercial contracting across the business and to build the processes, standards, and systems that support it. This is the company's senior commercial legal role, reporting directly to the CLO. It carries a global remit covering the markets Humanoid sells into, the partners it builds with, and the suppliers from which it sources.
The role works in close partnership with the go-to-market (GTM) and supply chain functions, supporting transactions from initial structuring through negotiation to signature. This includes customer and reseller agreements, master supply and manufacturing contracts, technology partnerships incorporating revenue share and other non-standard commercial models, and the confidentiality and data protection arrangements that sit alongside them.
Alongside transactional work, the role owns the contracting operating model: standard templates, negotiation playbooks and fallback positions, delegation of authority, escalation routes, and the selection and implementation of contract lifecycle management (CLM) and AI-assisted contract review tooling.
Own commercial contracting end to end, drafting, negotiating, and closing customer, partner, and supplier agreements across every country we operate in.
Act as the legal partner to our GTM and supply chain teams, from early deal shaping through to signature, with fast and commercially practical answers.
Negotiate supply chain and manufacturing agreements, and technology partnerships including revenue share and other non-standard commercial models.
Build and own the contracting operating model: templates, playbooks, guidelines, delegation of authority, escalation paths, and the internal processes that keep deals moving.
Select, implement, and get real value from CLM and AI-assisted contract review tooling to manage a pipeline in the hundreds without simply adding headcount.
Protect and commercialise our intellectual property (IP), advising on ownership, licensing, and confidentiality across customer, partner, and supplier arrangements.
Manage commercial disputes and pre-litigation matters, working with the Head of Compliance and outside counsel where it makes sense.
Work with the Head of Compliance and the CLO to make sure commercial terms reflect our regulatory obligations.
Instruct and manage outside counsel with a clear view of cost and value.
Build, manage, and develop the contracts team as it grows, while staying hands-on yourself.
Be a trusted advisor to senior stakeholders across Sales, Supply Chain, Finance, and the executive team.
10+ years' post-qualification experience (PQE); qualified solicitor in England and Wales (or equivalent), with a current practising certificate.
5+ years in highly regulated or safety-critical sectors, such as robotics, AI, automotive, aerospace, medical devices, or comparable technology.
5+ years of in-house experience.
5+ years of people management experience.
A strong track record on supply chain contracts and technology partnerships, including revenue share arrangements.
Solid IP and dispute resolution experience.
Proficiency with contract management systems and AI contract review tools.
Comfortable managing senior stakeholders and holding your own with commercial leadership.
Hands-on and execution-oriented. You draft and negotiate yourself rather than only overseeing others.
Comfortable operating in ambiguity and driving clarity in a fast-moving environment.
Motivated by a long-term in-house role. This is a demanding position in a company building at pace, where priorities shift and no two weeks look the same.
Dual UK/US qualification.
Experience in deep-tech, robotics, hardware, or advanced manufacturing organisations.
Experience implementing a CLM platform from scratch, ideally an AI-enabled one.
Experience scaling a legal function through rapid commercial growth or a funding round.
Competitive equity: stock options with meaningful upside as we scale.
30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
The Robotics Engineer will be responsible for the operation, maintenance, and optimisation of the robotics fleet and AI Data Collection System. The role focuses on ensuring that data-collection pipelines, hardware setups, and system configurations support reliable experimentation and high-quality dataset generation for robotics research and development. A key aspect of this role is ensuring maximum system uptime and rapid response to issues that may impact data-collection Continuity.
Role Purpose
To ensure continuous, reliable operation of the robotics fleet and AI Data Collection System, enabling high-quality data generation and uninterrupted experimentation for robotics research.
This position is a permanent night shift, with working hours of 10:30 pm - 7:00 am, and may require occasional travel in line with business needs.
Ensure continuous uptime of the robotics fleet and AI Data Collection System through proactive monitoring, rapid issue response, and preventive maintenance.
Oversee daily system operation, ensuring all robots, sensors, and data pipelines are functioning correctly.
Configure and prepare robotic systems for data-collection runs, including calibration, software setup, and environment readiness.
Execute and support data-collection experiments in collaboration with engineers and researchers, ensuring reliability and repeatability.
Manage the collection, verification, labelling, and organised storage of datasets used for imitation learning and related ML workflows.
Troubleshoot hardware, software, and system issues to minimise downtime and maintain workflow continuity.
Maintain accurate records of equipment status, system utilisation, and performance, and coordinate procurement of required components and replacements.
Develop and follow operational best practices to ensure safety, efficiency, and standardisation across data-collection activities.
Schedule and prioritise robotics and data-collection resources to optimise experiment throughput and system availability.
Support improvements to data-collection processes, system stability, documentation, and operational procedures.
Bachelor’s or Master’s degree in Robotics, Engineering, Computer Science, or a related technical field.
Practical experience operating robotic systems or automated hardware setups.
Strong organisational, time-management, and communication skills.
Experience with data collection, dataset organisation, and data-management workflows for machine learning or robotics.
Hands-on experience with ROS (Robot Operating System).
Proficiency with Linux-based development and runtime environments.
Basic proficiency in Python or C++ (preferred but not required).
Preferred Qualifications
• Experience with inventory tracking, procurement, and supplier coordination.
• Familiarity with operational safety practices and compliance requirements.
• Demonstrated interest in robotics, automation, and applied research.
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Location: Vancouver, Canada
Employment Type: Full-Time, 6-Month Fixed-Term Contract
Work Arrangement: On-Site
We are looking for a Robotics Prototype Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the assembly, integration, testing, and validation of advanced humanoid robotic systems.
You will work hands-on with robotic hands, arms, end-effectors, actuators, sensors, and complex electromechanical assemblies, helping bring new robotic designs from engineering concepts to functional prototypes.
Working closely with our Mechanical, Electrical, Embedded Software, and Controls teams, you will support prototype builds, troubleshoot hardware issues, perform calibration, and contribute to continuous design improvements.
This opportunity is ideal for an early-career or intermediate engineer who enjoys practical engineering challenges, wants to strengthen their robotics expertise, and is excited to learn from a highly experienced multidisciplinary engineering team.
Work hands-on with advanced humanoid robotic hardware, including dexterous hands, arms, actuators, and precision mechanisms.
Gain practical experience in robotic assembly, sensor integration, calibration, and hardware troubleshooting.
Collaborate with experienced robotics engineers across mechanical, electrical, embedded software, and controls disciplines.
Contribute directly to prototype development, testing, and continuous design improvements.
Build valuable experience in a fast-moving robotics R&D environment, working on real humanoid robots.
Assemble and integrate robotic prototypes and electromechanical systems, including robotic hands, arms, end-effectors, actuators, sensors, and mechanical assemblies.
Support prototype builds, hardware integration, and system commissioning, following engineering drawings, schematics, and assembly instructions.
Perform functional testing, troubleshooting, and validation of robotic components and assemblies.
Assist with sensor calibration and actuator commissioning, ensuring components operate according to engineering requirements.
Work closely with Mechanical, Electrical, Embedded Software, and Controls engineers to identify and resolve hardware integration issues.
Support rapid prototyping and design iterations, including mechanical adjustments, wiring modifications, component replacement, and testing.
Perform basic electrical and mechanical troubleshooting, using appropriate laboratory equipment and diagnostic tools.
Record test results, assembly observations, technical issues, and corrective actions, maintaining accurate engineering documentation.
Support routine maintenance, repairs, and upgrades of robotic prototypes and subassemblies.
Provide practical feedback to engineering teams to improve assembly processes, component reliability, and prototype performance.
Maintain an organized and safe working environment, including proper handling of specialized tools, equipment, and sensitive robotic components.
1–4 years of relevant hands-on experience in robotics, mechatronics, electromechanical assembly, hardware prototyping, or a related technical field.
Bachelor's degree or technical diploma in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.
Hands-on experience assembling, testing, or troubleshooting mechanical and electrical systems.
Understanding of electromechanical components, including motors, actuators, sensors, wiring, and mechanical assemblies.
Ability to read and follow mechanical drawings, electrical schematics, wiring diagrams, and technical instructions.
Experience with soldering, wiring, connectors, cable assembly, or other precision assembly techniques.
Familiarity with basic electrical and mechanical testing equipment, such as multimeters, power supplies, and precision measurement tools.
Basic understanding of sensor integration, calibration, or actuator operation.
Strong practical problem-solving skills and a willingness to learn new technologies and engineering methods.
Good attention to detail when working with precision components and complex assemblies.
Ability to work effectively in a collaborative, fast-paced engineering environment.
Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks.
Gain hands-on experience developing next-generation humanoid robots.
Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position.
Work directly with advanced robotic hardware and complex electromechanical systems.
Learn from a highly experienced, multidisciplinary robotics engineering team.
Contribute to real engineering projects, from prototype assembly through testing and validation.
Build valuable technical experience in a fast-paced robotics startup environment.
Join a collaborative, mission-driven team working at the forefront of humanoid robotics.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
Location: Vancouver, Canada
Employment Type: Full-Time, 6-Month Fixed-Term Contract
Work Arrangement: On-Site
We are looking for a Robotics Test & Validation Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the testing, characterization, and validation of advanced robotic components and subsystems.
You will work hands-on with robotic actuators, joints, mechanisms, grippers, and dexterous robotic hands, helping ensure that our hardware meets performance, reliability, and safety requirements.
Working closely with Mechanical, Electrical, Controls, and Embedded Software engineers, you will develop and execute test procedures, build test fixtures, analyze performance data, and contribute to continuous design improvements.
This position offers the potential to transition into a permanent, full-time role based on individual performance, business needs, and future opportunities within the team.
This is an exciting opportunity for an early-career or intermediate engineer to gain hands-on experience in robotics testing, actuator characterization, automated validation, and hardware development while learning from experienced robotics professionals.
Work hands-on with advanced humanoid robotic hardware, including actuators, joints, grippers, and dexterous robotic hands.
Develop and execute tests that directly influence the performance, reliability, and safety of next-generation humanoid robots.
Gain practical experience in actuator characterization, sensor calibration, motor control, and automated testing.
Build and improve custom test rigs and validation systems for complex electromechanical components.
Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and embedded software.
See your testing and engineering insights directly contribute to real robotic hardware improvements.
Design, plan, and execute test procedures for robotic actuators, joints, mechanisms, grippers, and robotic hands, ensuring performance against engineering requirements.
Build, assemble, and maintain test fixtures, test rigs, and measurement setups for functional, dynamic, endurance, and reliability testing.
Perform actuator and sensor calibration, including encoders and motor control loops for current, velocity, and position, under the guidance of Controls engineers.
Support actuator and subsystem characterization, measuring parameters such as torque output, friction, inertia, backlash, stiffness, thermal behavior, efficiency, and backdrivability.
Develop and improve automated test procedures and hardware/software test setups to evaluate motor performance, force output, operating limits, and system reliability.
Conduct lifecycle, stress, thermal, endurance, and environmental testing on robotic components and subsystems.
Collect, analyze, and interpret test data, identifying performance trends, anomalies, and potential failure modes.
Prepare clear test reports, performance summaries, and validation documentation, communicating findings to engineering teams.
Work closely with Mechanical, Electrical, Controls, and Embedded Software engineers to identify root causes of hardware failures and support design improvements.
Collaborate with design engineers to define testable requirements, acceptance criteria, tolerances, and performance metrics.
Support incoming quality inspections, assembly-level verification, and hardware troubleshooting.
Assist with closed-loop actuator testing, evaluating system behavior, stability, and response under different operating conditions.
Maintain organized test documentation, procedures, results, and equipment records.
Contribute to improvements in testing efficiency, automation, repeatability, and validation processes.
1–4 years of relevant hands-on experience in robotics testing, hardware validation, mechatronics, electromechanical systems, or a related technical field.
Bachelor's degree or technical diploma in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or a related discipline, or equivalent practical experience.
Hands-on experience testing, troubleshooting, or validating mechanical, electrical, or electromechanical systems.
Understanding of electric motors, actuators, sensors, mechanical mechanisms, and basic control systems.
Experience working with laboratory and measurement equipment, such as oscilloscopes, multimeters, power supplies, force sensors, and data acquisition systems.
Familiarity with test procedures, data collection, performance measurements, and technical reporting.
Basic understanding of motor control principles, including current, velocity, and position control.
Experience with Python, MATLAB, LabVIEW, or similar tools for test automation, data analysis, or engineering calculations.
Ability to read and interpret mechanical drawings, electrical schematics, and technical documentation.
Strong analytical and practical problem-solving skills, with the ability to identify issues and support troubleshooting activities.
Good attention to detail when performing precision measurements, calibration, and hardware testing.
Ability to collaborate effectively with Mechanical, Electrical, Controls, and Embedded Software engineering teams.
Comfortable working in a fast-paced R&D environment with evolving hardware designs and testing priorities.
Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks.
Gain hands-on experience developing next-generation humanoid robots.
Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position.
Work directly with advanced robotic hardware and complex electromechanical systems.
Learn from a highly experienced, multidisciplinary robotics engineering team.
Contribute to real engineering projects, from prototype assembly through testing and validation.
Build valuable technical experience in a fast-paced robotics startup environment.
Join a collaborative, mission-driven team working at the forefront of humanoid robotics.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
We are seeking a hands-on, dependable Field Operations Associate to join our team on-site in Schweinfurt, Bavaria, Germany, monitoring and operating our humanoid robots in live customer environments. As the person on the front line of every deployment, you will set up, operate,and monitor robots on-site, keep them running safely and reliably, capture operational and training data, and act as the first point of contact when issues arise. This role suits someone practical and calm under pressure who enjoys working with cutting edge hardware and software in dynamic real-world settings and is comfortable being the face of the company at customer facilities.
Set up, start up, monitor robots at customer sites.
Monitor robots during live operations, following established protocols to ensure safe and reliable performance.
Monitor robot behavior and the surrounding environment throughout operation, intervening when needed to maintain safety.
Set up and maintain fleet management devices and supporting equipment.
Track, document, and escalate issues to on-site leadership , with clear observations, logs and reproduction steps.
Perform routine and basic maintenance on-site (cleaning, inspections, minor troubleshooting), call for on-site technical support when needed.
Maintain detailed records of operation, data-collection sessions, uptime, incidents, and equipment status.
Follow all customer and company site safety rules as well as company operating procedures.
Associate degree, vocational training, or equivalent practical experience operating equipment, machinery, or technology in a professional environment.
Unrestricted right to work and live in the European Union.
Comfortable with hardware: you are willing to learn basic mechanical and electrical troubleshooting and would enjoy hands-on problem solving.
Comfortable reading logs and dashboards,to interpret robot status and troubleshoot issues.
General computer skills
Ability to follow written procedures, test plans, and work instructions, and to complete tasks consistently and accurately.
Strong communication and documentation skills.
Strong attention to detail and the ability to sustain focus and stay calm, making sound decisions in live, dynamic environments.
Reliable, safety-conscious, and able to work independently with minimal supervision.
Comfortable in a fast-paced environment; open to constructive feedback and continuous improvement.
Ability to perform the essential physical functions of the role, including remaining mobile throughout the workday and safely handling or moving components around the robot.
Good German and English communication skills, with the ability to communicate effectively in a professional environment.
Experience with industrial robotics, warehouse or logistics automation, AGV/AMR fleets, autonomous systems, drones, or robotic test platforms.
Familiarity with teleoperation systems
Familiarity with VR interfaces and gaming controllers
Experience in customer-facing field service, technical operations
Valid Class B (or equivalent) driver's license.