Simulation Infrastructure

Genesis AI; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Genesis AI in London is seeking a physics simulation engineer to help build core simulation infrastructure for robotics model development, evaluation and iteration. You will design scalable systems for running diverse simulation workloads across tasks, environments, and robots.

You’ll develop reusable environment frameworks and tooling that make simulation workflows more reliable and observable, bridge the sim-to-real gap with policy teams, and collaborate on a real-to-sim pipeline with the

Qualifications

• Experience in physics simulation engineering, with emphasis on robotics contexts.
• Ability to take ownership and drive problems to resolution.
• deep experience with rigid body simulation and FEM techniques.
• Provide insights from a robotic researcher/engineer’s perspective to improve UX.
• Proficiency in CUDA and GPU programming for high-performance computing.

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.
• Bridge the sim-to-real gap with the policy training team.
• Develop a real-to-sim pipeline in collaboration with the asset generation team.
• Collaborate with a team building general-purpose Physical AI.

Skills

Physics simulation engineering

Ownership and initiative

Rigid body simulation

FEM

CUDA and GPU programming

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.