Simulation Infrastructure Engineering & Research London

Build core simulation-centered infrastructure for robotics model development, evaluation, and iteration.

Design scalable systems for creating, running, and managing diverse simulation workloads across tasks, environments, and robots.

Develop reusable environment frameworks, task interfaces, and tooling that make simulation workflows more reliable and observable.

Work with the policy training team to bridge the sim-to-real gap

Develop a real-to-sim pipeline in collaboration with the asset generation team

Collaborate with a team of driven individuals committed to building general-purpose Physical AI

Passion for your craft and demonstrated excellence in physics simulation engineering

Exceptional ownership and initiative: finding and solving problems independently

Extensive experience in physics simulation, with a preference for expertise in rigid body simulation and FEM

Insights and requests from a robotic researcher/engineer's perspective for improving user experience

Proficiency in CUDA and GPU programming

Built closed-loop or log-replay evaluation at scale.

Experience with robotics simulation tools such as genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo, or similar platforms.

Experience with synthetic data, scene generation, asset pipelines, sim-to-real, or robotics benchmarks.

Experience with robot manipulation, mobile manipulation, humanoids, or embodied AI systems.