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** - . 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.