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    Simulation Infrastructure

    Original title · English translation pending

    onsendxyzRemote - London, United KingdomPosted 2026-09-07Last seen in source Website
    Location
    Remote - London, United Kingdom
    Employment
    FullTime
    Workplace
    Hybrid
    Engineering & Research
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    Role description

    Original description · English translation pending

    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.

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