Simulation Infrastructure

What You’ll Do • 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 What You’ll Bring • 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 Bonus Points • 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. Find more English Speaking Jobs in United Kingdom on Arbeitnow