The company builds advanced robotic systems designed to operate in real-world environments. Its product is being tested in industrial settings, and the team is scaling technology for simulation, learning, robotics, and real-world deployment. The company develops technology to help general-purpose robots understand tasks, interact with physical objects, and act reliably outside the lab.
Задачи
Build realistic simulation environments for dexterous manipulation tasks
Enable the use of simulation environments to train, evaluate, and improve robot behavior before deployment to hardware
Требования
3+ Years of experience building simulation environments, physics-based interactive systems, or game-engine-based environments
Hands-on experience with at least one of Isaac Sim, IsaacLab, MuJoCo, PyBullet, Drake, Unreal, or Unity focused on physically accurate interactions
Experience with large-scale parallel simulation on GPU clusters
Strong Python skills and ability to debug physics issues, profile bottlenecks, and write maintainable research code
Good software engineering practices and clear communication about experiments and trade-offs
Будет плюсом
robotics or manipulation experience, training RL policies in simulation, understanding of reward hacking, distribution shift, and sim-to-real challenges, NVIDIA Isaac Sim or IsaacLab, domain randomization, system identification, robocasa, robosuite or similar frameworks, publications in robotics or RL, strong open-source contributions
Условия
Relocation support is available for candidates relocating to the UK
Base salary + equity package
23 Days of annual leave, 15 days of paid sick leave, and paid company holidays
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