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're hiring a Robotics Simulation & Control Engineer to join our Controls team based in London.
As a Robotics Simulation & Control 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.
WHAT YOU’LL DO
- 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.
WHAT WE'RE LOOKING FOR
- 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++.
Nice to have:
- Experience with legged, humanoid, or wheeled robots.
- Experience training RL locomotion or manipulation policies.
- Experience with whole-body control or torque-controlled robots.
- Experience with simulation-driven hardware design.
- Experience building large-scale RL training pipelines.
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.