Simulation Infrastructure

Genesis; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Genesis is seeking a physics-driven simulation engineer to advance robotics model development and evaluation. You will design scalable infrastructure and reusable frameworks to handle diverse simulation workloads across robots and environments, while collaborating with teams to bridge the sim-to-real gap.

Applicants should have deep expertise in physics-based simulation, CUDA/GPU programming, and rigid body/FEM experience, with exposure to Genesis-world or similar tools.

Qualifications

• Experience in physics-based simulation engineering with a focus on accuracy and performance.
• Proficiency in CUDA and GPU programming for high-throughput simulations.
• Strong understanding of rigid body dynamics and finite element methods (FEM).

Responsibilities

• Build core simulation infrastructure for robotics model development, evaluation, and iteration.
• Design scalable systems to create, run, and manage diverse simulation workloads across tasks, environments, and robots.
• Develop reusable environment frameworks, task interfaces, and tooling for reliable and observable simulation workflows.
• Collaborate with policy training teams to bridge sim-to-real gaps.
• Create a real-to-sim pipeline with the asset generation team.
• Work with a team focused on building general-purpose Physical AI.

Skills

Physics simulation

GPU programming (CUDA)

Rigid body dynamics

FEM

Problem solving

Tools

Genesis-world

MuJoCo

Gazebo

Isaac Sim

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.