Simulation Infrastructure

Genesis AI; Paris; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Genesis AI is seeking a robotics physics simulation engineer to build scalable simulation infrastructure for model development, evaluation, and iteration. You will design systems to manage diverse workloads across tasks, environments, and robots, and develop reusable frameworks to improve reliability and observability.

The role emphasizes ownership, initiative, and deep experience in physics simulation (rigid body, FEM) with CUDA/GPU programming.

Qualifikationen

• Extensive experience in physics-based simulation for robotics.
• Strong ownership and initiative; able to solve problems independently.
• Experience shaping user experience for robotic researchers/engineers.
• Expertise in rigid body simulation and FEM methods.
• Proficiency with CUDA and GPU programming for high-performance sim.
• Ability to propose practical improvements from a researcher’s perspective.

Aufgaben

• Build core simulation infrastructure for robotics model development and evaluation.
• Design scalable systems for diverse simulation workloads across tasks and robots.
• Develop reusable frameworks and tooling to improve reliability and observability.
• Bridge the sim-to-real gap with the policy training team.
• Create a real-to-sim pipeline with the asset generation team.
• Collaborate with a team building general-purpose Physical AI.

Kenntnisse

Physics simulation engineering

Ownership and initiative

Independent problem solving

Rigids and FEM expertise

Robotics perspective

CUDA

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.