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.