Simulation Infrastructure

Posted 10 Days Ago
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London, Greater London, England, GBR
Hybrid
Senior level
Artificial Intelligence • Machine Learning • Robotics
The Role
Build scalable infrastructure for robotics simulation, including workload management, environment frameworks, task interfaces, evaluation tooling, and real-to-sim pipelines. Collaborate with policy training and asset-generation teams to improve sim-to-real performance. The role requires extensive physics simulation expertise, particularly rigid body simulation or FEM, along with CUDA and GPU programming proficiency. Experience with robotics simulation platforms, synthetic data, asset pipelines, manipulation, humanoids, or embodied AI is advantageous.
Summary Generated by Built In
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.

Skills Required

  • Extensive experience in physics simulation engineering
  • Expertise in rigid body simulation and finite element methods preferred
  • Robotic researcher or engineer perspective for improving simulation user experience
  • Proficiency in CUDA and GPU programming
  • Experience building 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
  • 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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The Company
86 Employees
Year Founded: 2025

What We Do

Genesis AI is a global full-stack robotics company developing general-purpose robots with human-level intelligence and capabilities. It aims to build foundational AI models that automate repetitive tasks across applications such as lab work and housekeeping. The company uses a proprietary physics engine to generate synthetic physical-world data, helping train robotics models for diverse real-world environments, and operates across Paris and Silicon Valley.

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2 Locations
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