Robotics Simulation & Control Engineer

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.