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7 дней назад

Physics Simulation Engineer (Robotics)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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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