Simulation Infrastructure Engineering & Research London

Genesis; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Genesis seeks a physics simulation engineer to build core infrastructure for robotics model development, evaluation, and iteration. You will design scalable systems for diverse simulation workloads across tasks, environments, and robots, ensuring reliable and observable workflows.

Join a team devoted to advancing general-purpose Physical AI, collaborating with asset generation and policy groups to close the sim-to-real gap and accelerate robotics research and development.

Qualifications

• Must have strong background in physics-based simulation.
• Experience with rigid body dynamics and FEM.
• Proficiency in CUDA and GPU programming.
• Ability to reason about user experience for robotic researchers.

Responsibilities

• 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 to improve reliability and observability of simulation workflows.
• 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 pursuing general-purpose Physical AI.

Skills

Physics simulation

Rigid body simulation

FEM

CUDA

GPU programming

Tools

Genesis World / simulation tools

Job description

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.