Simulation Infrastructure

What You’ll Do

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

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

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

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

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

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

What You’ll Bring

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Passion for your craft and demonstrated excellence in physics simulation engineering

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Exceptional ownership and initiative: finding and solving problems independently

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

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

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Proficiency in CUDA and GPU programming

Bonus Points

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

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

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

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

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