Simulation Infrastructure

Genesis AI; Paris; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Closed-loop evaluation (bonus)

Simulation tools experience

Synthetic data pipelines

Robot manipulation experience

Zusammenfassung

Genesis AI is seeking a passionate physics simulation engineer to build core infrastructure for robotics model development, evaluation, and iteration in Paris. You will design scalable systems for diverse simulation workloads across tasks, environments, and robots, and develop reusable frameworks to make workflows reliable and observable.

You will collaborate with a policy training team to bridge the sim-to-real gap and develop a real-to-sim pipeline with the asset generation team, contributing

Qualifikationen

• Passion for physics simulation and demonstrated excellence in physics simulation engineering.
• Extensive experience in physics simulation, with a preference for rigid body simulation and FEM.
• Insights from a robotic researcher/engineer perspective to improve user experience.
• Proficiency in CUDA and GPU programming.

Aufgaben

• 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 improve reliability and observability of simulation workflows.
• Collaborate 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.
• Work with a driven team building general-purpose Physical AI.

Kenntnisse

Physics simulation engineering

Ownership and initiative

Robotics researcher perspective

CUDA and GPU programming

Tools

CUDA

Jobbeschreibung

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.