Capability Simulation & Control Engineer
Capability Simulation & Control Engineer
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.
Vision
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.
Solution
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
We are developing a next-generation humanoid robot using a simulation-first, capability-driven approach to hardware design. As a Capability Simulation & Control Engineer, your mission is to analyze and characterize the limits of our robotic platforms - before they are built. You will sit at the intersection of simulation, control, and hardware design, enabling rapid iteration cycles by ensuring we understand the physical and algorithmic feasibility of each design decision.
Your focus will be to define, simulate, and validate robotic capabilities - such as reachability, dynamic balance, force/torque limits, manipulability, workspace optimization, and sensor placement - under real-world constraints. The insights you generate will directly inform mechanical design, sensor layout, and control interface development.
Key Responsibilities:
Capability Evaluation & Simulation
* Develop tools and pipelines to analyze and visualize platform capabilities (e.g., kinematic reach, manipulability maps, dynamic feasibility, joint torque-speed curves).
* Integrate dynamic and quasi-static evaluations of locomotion, manipulation, and perception effectiveness into the simulation loop.
* Incorporate model-based and learning-based methods to evaluate adaptive capabilities under uncertainty
Hardware Design Feedback Loop
* Provide actionable quantitative insights to inform joint placement, limb proportions, mass distribution, sensor positioning, actuator sizing, and other HW design variables.
* Work closely with mechanical engineers, control developers, and perception experts to co-design simulation tasks that expose key tradeoffs and performance bottlenecks.
* Design and implement reusable test scenarios for various hardware configurations and use cases.
* Automate performance reporting and limit detection in the context of control performance, perception accuracy, and stability.
Model Fidelity & Integration
* Ensure that models used for capability analysis reflect sufficient physical realism without slowing iteration cycles.
* Collaborate with simulation experts to incorporate contact models, compliance, and actuator characteristics into the testing loop.
Design Exploration
* Support rapid evaluation of alternate hardware morphologies by stress-testing capabilities through scripted benchmarks or learned behaviors.
* Develop visual and quantitative design-space exploration tools to help prioritize tradeoffs across competing metrics (e.g., power consumption vs workspace).
Requirements:
* M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control Systems, or a related field.
* Solid foundation in robot kinematics, dynamics, and control.
* Proficient in simulation environments such as MuJoCo and Isaac Sim, or custom tools.
* Experience evaluating or optimizing robotic systems for capability limits (reach, manipulability, torque-speed, dynamic stability).
* Familiarity with optimization tools and version control for collaborative pipelines.
* Strong software skills (Python and/or C++; experience with ROS or similar frameworks).
* Ability to communicate technical results to multidisciplinary teams and influence design decisions.
Nice-to-Have:
* Familiarity with whole-body control, redundancy resolution, or torque-controlled platforms.
* Experience with optimization and design-space exploration.
* Exposure to hardware-in-the-loop simulation or perceptual simulation.
* Hands-on experience with humanoid or bipedal platforms, including torque-controlled systems
What We Offer:
* Competitive salary plus participation in our Stock Option Plan
* Paid vacation and travel opportunities to our London, 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
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
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