Robotics Simulation & Control Engineer

About The Role

We design robots in simulation before building them in hardware.

As a Robotics Simulation & RL 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++;
• Experience training RL locomotion or manipulation policies.

Nice to have:

• Experience with legged, humanoid, or wheeled robots;
• 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

• Competitive equity: stock options with meaningful upside as we scale.
• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
• Private healthcare, including virtual and in-person care.
• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
• Free daily breakfast, catered lunch, and snacks in-office.
• Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
• Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.