Simulation Infrastructure

Genesis AI; San Carlos (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Genesis AI in San Carlos, CA seeks a physics simulation engineer to build and optimize simulation infrastructure for robotics model development and evaluation. You will shape pipelines that run diverse workloads across tasks and environments, collaborating with researchers and engineers to push the boundaries of Physical AI.

The role emphasizes ownership, independent problem solving, and deep expertise in physics simulation, including rigid body dynamics and FEM, with CUDA/GPU programming.

Qualifications

• Expertise in physics simulation with focus on rigid body dynamics and FEM.
• Strong ownership, initiative, and ability to solve problems independently.
• Proficiency in CUDA and GPU programming.

Responsibilities

• Build core simulation 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 simulation reliability and observability.
• Bridge the sim-to-real gap in collaboration with policy training teams.
• Develop real-to-sim pipelines in collaboration with asset generation teams.
• Collaborate with a driven team to advance general-purpose Physical AI.

Skills

Physics simulation

CUDA

GPU programming

Robotics research perspective

Tools

Genesis-world

Isaac Sim

MuJoCo

Gazebo

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.