6mo ago

Robotics Simulation & Control Engineer

United Kingdom·Londonfull-timemid

OtherEngineerMachine Learning Research Engineer

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Overview

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OtherEngineerMachine Learning Research 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 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About the Role

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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.

Responsibilities

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Design and evaluate new robot platforms using physics simulation.
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Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits.
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Use reinforcement learning to stress-test robot designs and explore capability limits.
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Own and maintain URDF models of current and future robot platforms.
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Maintain the CAD → URDF → simulation pipeline.
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Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness.
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Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout.
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Collaborate with mechanical, control, and perception teams to guide platform design decisions.

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

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✓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.