Robotics Simulation & Control Engineer

Responsibilities

• 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 to URDF to 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

Requirements

• 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 such as MuJoCo, Isaac Sim, or Gazebo
• 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++

Preferred Qualifications

• 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

Benefits

• 23 days of annual leave and 15 days of paid sick leave
• Fully funded private healthcare for UK employees
• Equity included
• Pension scheme with 8% total contribution
• Free daily breakfast, catered lunch, and snacks in-office

About the Company

Humanoid is on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots, starting with the HMND-01 Alpha platform.