Senior Perception Engineer – Spatial Intelligence (London)

Senior Perception Engineer – Spatial Intelligence

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. 

Our Mission

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.

What You’ll Do

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 integerating 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

We’re Looking For

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.

What We Offer

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.

How to Apply

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Senior Systems Engineer

Senior Systems Engineer – MBSE

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 Alpha—our rapidly developed humanoid platform now running in real industrial pilots—and we’re growing the team to take it even further.

About The Role

We are seeking a Senior Systems Engineer to join our innovative team based in London. In this role, you will lead the creation and management of system-level and technical functional requirements using MBSE methodologies, ensuring a robust, traceable, and integrated system definition for our robotic platforms.Your focus will include developing a deep technical understanding of system and subsystem technical requirements, leveraging that knowledge to create and maintain the system model (e.g., in Matlab System Composer), and supporting the derivation of engineering artifacts and the validation of resulting designs, collaborating closely with subject matter experts (SMEs) across technical domains. To excel in this position, you must showcase your ability to influence, adapt to dynamic environments, make decisive judgments under pressure, and establish a clear technical vision for implementing Model-Based Systems Engineering methodologies.

What You’ll Do:

Obtain inputs from System Technical Leaders and SMEs to translate stakeholder needs into verifiable requirements within the system model.
Develop and document technical-level requirements for robotic systems, capturing them and their relationships within the system model.
Define and maintain the system architecture, interfaces, and behavior using a Model-Based Systems Engineering (MBSE) approach.
Influence the development of Engineering artifacts, their technical direction and ultimately stakeholder satisfaction by ensuring model consistency and integrity.
Identify and analyse the interfaces and interactions across systems/components boundaries using the system model as the single source of truth.
Collaborate with cross-functional teams (mechanical, software, and controls) to ensure system requirements and architectural models are cohesive and achievable.
Provide expertise and guidance to ensure our engineers understand the problem completely and stakeholder needs through effective coaching on MBSE and Systems Engineering practices (early and later lifecycle stages).
Ensure the appropriate level of concepting, modelling and simulation techniques are used across the lifecycle to inform architectures and solution options, leveraging model simulation capabilities.
Track the status of requirements and their verification/validation throughout the product development lifecycle using model-based traceability.
Troubleshoot and resolve complex system-level issues by tracing them back to the architectural and requirements definitions in the system model, in collaboration with the development team.
Maintain detailed documentation, including system architectures, requirement traceability matrices, and test reports.
Ensure that designs comply with relevant standards and certifications.

We’re Looking For:

Bachelor’s or Master’s degree in Systems Engineering, Computer Science, or related field.
5+ years of experience in systems engineering with a focus on defining complex systems, preferably in robotics, automation, or similar industries.
Expertise in Model-Based Systems Engineering (MBSE) methodologies and tools (e.g., SysML, Cameo Systems Modeler, Sparx Enterprise Architect, Rhapsody).
Demonstrated experience in developing and maintaining system models (architecture, requirements, behavior) for complex embedded systems.
Experience with requirements management tools (e.g., DOORS, Jama, Polarion).
Excellent analytical, problem-solving, and decision-making skills.
Strong verbal and written communication skills, with the ability to convey complex ideas, particularly model-based concepts, to diverse stakeholders.
Proven leadership skills with the ability to drive MBSE adoption and mentor team members.

Nice to have

Experience in robotics or automation industries.
Familiarity with industry standards (e.g., ISO 26262, IEC 61508, SOTIF, ASPICE, MISRA, ISO 21434) and certification processes, particularly how they integrate with MBSE workflows.
Knowledge of model simulation and analysis techniques.
Experience with communication protocols (e.g., CAN, Ethernet, SPI, I2C).
Knowledge of AI, machine learning, or advanced sensor technologies is a plus.

What We Offer:

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.

How to Apply

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Senior Simulation Engineer (Manipulation)

About the Role

As a Senior Simulation Engineer at Humanoid, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, 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.

What You’ll Do

Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions.
Analyze and address reward hacking — identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors.
Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data.
Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation.
Ensure correct physics setup — contact dynamics, friction, mass properties, joint limits — so that trained policies transfer reliably to hardware.
Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates.
Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling.

What We’re Looking For

3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it.
Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions.
Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure.
Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code.
Familiarity with modern software engineering practices.
You document experiments clearly and communicate trade-offs crisply.

Nice to have

Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects).
Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap).
Experience with NVIDIA Isaac Sim & IsaacLab specifically.
Experience with domain randomization, system identification, or other sim-to-real transfer techniques.
Publications at top-tier robotics or RL conferences or equivalent open-source contributions.
Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks.

What We Offer

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.

How to Apply

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Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

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AI Data Collector

Our Mission

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.

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 (06:30–14:30 and 14:30–22:30), 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:

Competitive salary
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

How to Apply

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Senior Platform Software Engineer

About the Role

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!

What You’ll Do

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.

We’re Looking For:

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.

What We Offer:

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.

How to Apply

Does this role sound like the perfect fit for you?
Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

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Senior Buyer (UK & Europe)

Our Mission

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.

About the Role

We are seeking an experienced Senior Buyer for an operational procurement role focused on P2P execution, supplier communication, and tactical sourcing support across Humanoid’s direct material commodity. Supporting the Procurement Manager, 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.

What You’ll Do

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.
Minimise 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 Procurement Managers in the regional area
This role supports the Commodity teams in sourcing activities but does not own commodity strategy or supplier selection decisions

We’re Looking For:

5+ years of direct procurement experience, ideally in manufacturing, robotics, technology, aero /defence or automotive
Proven experience working within scaling direct procurement functions.
Degree in Business, Law, Engineering, or related field.
CIPS (MCIPS) Level 5 or equivalent; APICS CPIM desirable.
Strong understanding of contract law, commercial terms, and negotiation frameworks.
Awareness of export controls (including EAR) relevant to robotics and technology.
Proficient in Google Workspace, Slack, and database management.
Experience with MRP/ERP systems; SAP highly desirable.
Good analytical, numerical, and planning capabilities.
A good understanding of the Legal Aspects associated with contracting within the Robotics & AI 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)

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

How to Apply

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Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

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Senior Manager – Warehouse, Inventory Logistics & Planning (WILP)

Our Mission

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.

About the Role

We are seeking an experienced Senior Manager – WILP to build and lead Humanoid’s global Warehouse, Inventory, Logistics and Planning function, enabling scalable, reliable and cost‑efficient operations across London, Boston and Vancouver.

What You’ll Do

Strategy and leadership

Define and own the Supply Chain and Logistics strategy for the Business, aligned with company strategy.
Build the operating model, governance, KPIs and cadence for warehouse, inventory, logistics and planning
Lead, coach, and develop a team of WILP managers. Foster an environment of continuous learning and development.
Support the WILP teams across regional sites.
Set OKRs, KPIs, and performance expectations.
Foster a high‑performance, collaborative, curious and continuous‑improvement culture.
Decisive and data driven, able to make priority calls under pressure.
Confident communicator with customers and executives, keeps promises and raises risks early.
This role operates in a high‑complexity robotics supply chain with multi‑tier suppliers, long lead times, export controls, make-to-order, and engineer‑to‑order flows.
Ensure compliance with safety, environmental and regulatory standards across all WILP operations.
Act as deputy for the Global Head of Supply Chain & Logistics when required.

Planning and order fulfilment

Build a rigorous scheduling process for make to order, assemble to order and configure to order flows, including one piece flow where feasible.
Run daily and weekly tier meetings to manage exceptions, shortages, and expedites, ensuring clear root‑cause analysis and corrective actions.
Lead the available to promise and capable to promise process, including project slotting and allocations during shortages.
Ensure export compliance, documentation accuracy and clean handover to carriers and customs partners.

Warehouse and Inventory

Develop and maintain inventory management processes to optimise warehouse operations.
Oversee and execute inventory counts, reconciliation, and audits.
Monitor and manage stock levels to meet customer demands and avoid overstock or shortages.
Collaborate with cross-functional teams to improve inventory processes and accuracy.
Lead and mentor the WILP teams at group and operational levels to achieve department goals.
Maintain a clean, organised, and safe warehouse environment.

Logistics & Supplier / Customer focus

Define and manage the distribution network for scale and mass deliveries, including central DCs, regional DCs and cross docks.
Select and manage 3PLs (and potentially 4PLs), carriers and freight forwarders with clear SLAs and quarterly performance reviews.
Implement transportation management, route optimisation and consolidation rules that protect OTIF and cost.
Strong understanding of Incoterms and global trade compliance.
Good understanding of logistics processes across the Americas, UK, and Europe.
Ensure warehouse processes, WMS usage, inventory accuracy and cycle counting reach Group standards.
Build fulfilment playbooks for panel builders and system integrators, including call off models, kitting, pre assembly and sequenced deliveries to site.
Create a proactive milestone tracking and communication model that gives customers crystal clear ETAs and risks.
Agree service level agreements by customer segment, including OTIF targets, lead time windows and communication rules.

We’re Looking For:

10+ years of direct Warehouse, Inventory, Logistics & Planning experience, ideally in manufacturing, robotics, technology, aero / defence, automotive or FMCG.
Proven experience establishing or scaling direct WILP functions.
Degree in Business, International Supply Chain & Procurement Management, Engineering, or related field.
CIPS (MCIPS) Level 5 or equivalent; APICS CPIM desirable.
Strong understanding of contract law, commercial terms, and negotiation frameworks.
Awareness of export controls (including EAR) relevant to robotics and technology.
Proficiency in Google Workspace, Slack, and database management.
Hands-on experience with ERP (for example SAP S4HANA), APS, WMS, TMS and analytics tools such as Power BI.
Proven success serving project based or engineer to order customers.
Proven leadership of multi‑site or multi‑region operations and external logistics partners
Expertise in S&OP, master scheduling, MRP and inventory optimisation.
Strong analytical, numerical, and planning capabilities.
Excellent negotiation, influencing, and stakeholder‑management skills.
Ability to work cross‑functionally in a fast‑paced, engineering‑driven environment.
Highly organised, adaptable, and able to manage shifting priorities.
Professional, motivated, and able to operate autonomously and within teams.

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

How to Apply

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Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

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Head of Systems Engineering, Integration & Test – London

Head of Systems Engineering, Integration & Test

Our Mission

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.

About the Role

This role owns end-to-end execution of the engineering V-Model—turning customer needs into clear, testable requirements and proving (with evidence) that the integrated robot meets them at scale.

SEIT’s mission is to connect technology development to customer needs using readiness reviews and stage gates, ensuring design progress remains aligned with requirements, and that integration and test validates the product meets those requirements.

What You’ll Own

1) Systems Engineering oversight (left side of the V)

Lead the creation and governance of system and solution architectures, requirements, and interfaces—ensuring engineering teams can execute effectively.
Build and maintain a requirements system that is accessible by all stakeholders, traceable, testable, and aligned across mechanical, electrical, firmware, software, AI, manufacturing, and operations.
Drive functional decomposition, subsystem allocations, interface control, and change control so requirements remain stable enough for delivery while incorporating learnings from testing and field deployments.
Lead architecture trade-offs and risk retirement using structured decision-making and trade studies.

2) Integration & Test oversight (right side of the V)

Own the system verification and validation strategy: test philosophy, coverage, pass/fail criteria, and evidence for readiness at component, subsystem, and full-system levels.
Drive integration planning and execution across disciplines, including lab bring-up, regression testing, performance validation, and failure-mode discovery and closure loops.
Ensure the organization has the test infrastructure needed to move fast (automation, simulation, hardware-in-the-loop where appropriate), enabling a continuous-integration mindset across hardware and software.

3) System architecture—from low-level to customer solutions

Partner with functional leads to architect robust, scalable systems that satisfy product requirements and can evolve from Alpha to Beta to pilot to production.
Create and maintain system documentation: block diagrams, system models, interface specifications, FMEAs, and technical roadmaps for leadership decision-making.
Own system-level performance bottlenecks and DFx scalability constraints (cost, reliability, manufacturability, serviceability).

4) Program-level readiness and risk management

Establish stage gates, readiness reviews, and quality bars that align engineering output to customer and pilot needs.
Identify and mitigate technical risks across the development lifecycle, ensuring issues are retired with test evidence.

5) Leadership and cross-functional operating model

Build and lead a high-trust, high-ownership SEIT culture aligned to company values (e.g., respect, ownership mindset, delivering results).
Operate as the system-level glue across hardware, software, AI, product, operations, and customer engagements—making clear, reasoned calls when trade-offs are required.

What Success Looks Like:

A single, living source of truth for requirements and interfaces, with traceability to verification evidence.
A fast, reliable integration cadence supported by the right tooling, automation, and a system architecture that enables continuous integration. Time from “all subsystems ready” to “integrated system passes” in days, not weeks.
Clear readiness decisions for Beta milestones grounded in test data and risk burn-down.
A scalable validation strategy that can evolve into end-of-line and production acceptance testing.
SEI&T supports functional leads with system-level analysis and trade-offs so local choices don’t compromise the overall system.
SEIT is measured on how much it accelerates engineering. A mature and successful SEIT function at Humanoid is embedded in the engineering culture–teams engage it by choice because it helps them move faster and avoid rework.

We’re Looking For:

15+ years leading systems engineering, system architecture, and/or verification and validation for complex electro-mechanical products through to mass production (robotics, autonomous systems, automotive, aerospace, industrial automation, or similar).
Demonstrated mastery of system-level requirements, decomposition, documentation, and cross-team alignment.
Proven experience guiding cross-functional integration (ME/EE/FW/SW/AI) and validating performance and reliability with strong test discipline.
Ability to present architectural directions, trade-offs, and roadmaps to executives and stakeholders.

Nice to have

Experience designing and scaling safety-critical or mission-critical systems and working within compliance/safety standards (e.g., ISO 26262, IEC 61508).
Experience with model-based systems engineering (MBSE), digital twins, simulation-driven development, and modern validation pipelines for robotics.

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

How to Apply

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Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

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Reinforcement Learning Engineer_Locomanipulation

About the Role

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 control 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.

What You’ll Do

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++.

We’re Looking For:

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.

Nice to have

Experience with RL for locomotion or legged robots.
Experience with sim-to-real transfer.
Familiarity with robot dynamics, control, or whole-body control.

What We Offer

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.

How to Apply

Does this role sound like the perfect fit for you?
Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

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Product Manager

Our Mission

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.

About the Role

Humanoid is seeking a motivated Product Manager (PM) professional or an individual eager to transition into Product Management from a technical, operational, or analytical background. This is a development-focused role offering mentorship, exposure, and increasing ownership over the product lifecycle for AI-powered humanoid robotics.

You will work cross-functionally with Engineering, Operations and Commercial teams to learn and execute on core product responsibilities:

What You’ll Do

Strategy & Planning: Assist with the product roadmap, conduct industry research (robotics, AI), and support business case analysis.

Requirements: Gather and communicate requirements by working closely with customers, engineering, and operations teams.

Execution: Coordinate between product, engineering, and operations; prioritise, track milestones; and participate in product reviews, testing, PoCs and pilot deployments

Launch & Iteration: Support launch preparation, training materials, and gather post-launch feedback for improvement cycles.

We’re Looking For

1-5 years of experience in engineering, operations, consulting, or data analysis.
Passionate about robotics, AI, and real-world problem solving.
Holds a Bachelor’s degree in a technical field (Engineering, Robotics, Computer Science, Industrial Engineering, or related).
Product development experience in robotics, automation, or fleet management is helpful.
Industry experience in intralogistics, manufacturing, retail, energy, and/or construction.
Key Attributes for Success
Strong Communication
Curiosity & Learning Agility
Structured & Analytical Thinking
Ownership Mentality
Customer-Centric Thinking
Bias Toward Action

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 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.

How to Apply

Does this role sound like the perfect fit for you?
Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

Apply now

*indicates a required field