Simulation Infrastructure

Genesis AI; Northern (KY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Genesis AI is seeking a Physics Simulation Engineer to build core simulation infrastructure for robotics model development, evaluation, and iteration. You will design scalable systems to create, run, and manage diverse simulation workloads across tasks, environments, and robots, and develop reusable environments, interfaces, and tooling for reliable, observable workflows.

You will collaborate with robotic researchers to improve user experience, apply CUDA and GPU programming expertise, and

Qualifications

• Passion for physics simulation
• Ownership and initiative: solving problems independently
• Extensive experience in physics simulation, especially rigid body and FEM
• Insights from robotic researcher/engineer perspective to improve UX
• 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 for reliable and observable simulation workflows.
• Collaborate with policy training to bridge the sim-to-real gap.
• Develop a real-to-sim pipeline with asset generation team.
• Collaborate with a driven team building general-purpose Physical AI.

Skills

Physics simulation

Ownership

Rigid body sim

FEM

CUDA/GPU

Robotics experience

Tools

CUDA

GPU programming

Genesis-world

MuJoCo

Gazebo

Newton

Drake

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.