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.