7 дней назад
Physics Simulation Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Physics Simulation Engineer (Robotics) (Physical AI): Building simulation-centered infrastructure, scalable simulation workloads, and real-to-sim pipelines for robotics model development with an accent on rigid body simulation, FEM, GPU programming, and sim-to-real workflows. Focus on designing reusable environment frameworks, evaluating robot policies at scale, and improving simulation reliability and observability across diverse robots and tasks.
Location: Hybrid in London, United Kingdom
Company
Building general-purpose Physical AI through robotics model development and simulation infrastructure.
What you will do
- Build core simulation-centered infrastructure for robotics model development, evaluation, and iteration.
- Design scalable systems for creating, running, and managing simulation workloads across tasks, environments, and robots.
- Develop reusable environment frameworks, task interfaces, and tooling for reliable and observable simulation workflows.
- Bridge the sim-to-real gap with the policy training team and develop a real-to-sim pipeline with the asset generation team.
- Collaborate with robotics researchers and engineers to improve simulation user experience.
Requirements
- Demonstrated excellence and extensive experience in physics simulation engineering.
- Expertise in rigid body simulation and finite element methods is preferred.
- Strong ownership and initiative, with the ability to identify and solve problems independently.
- Proficiency in CUDA and GPU programming.
- Experience building closed-loop or log-replay evaluation systems at scale.
- Experience with robotics simulation tools, synthetic data, scene generation, asset pipelines, sim-to-real, or robotics benchmarks.
Nice to have
- Experience with Genesis World, Isaac Sim, MuJoCo, Newton, Drake, Gazebo, or similar platforms.
- Experience with robot manipulation, mobile manipulation, humanoids, or embodied AI systems.
Culture & Benefits
- Hybrid work setup in London.
- Collaboration with driven individuals focused on general-purpose Physical AI.
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