Robotics Simulation Platform Engineer

Genesis; Paris; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Genesis is seeking an experienced Physics Simulation Engineer in Paris to build core simulation infrastructure for robotics model development, evaluation, and iteration. You will design scalable systems for diverse workloads across tasks and robots, develop reusable environment frameworks, and help bridge the sim-to-real gap with policy and asset teams.

Ideal candidates bring deep physics simulation expertise, ownership, and a proactive mindset, with strong CUDA/GPU programming skills and

Formación

• 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.

Responsabilidades

• 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

Conocimientos

Physics simulation

Rigid body simulation

FEM

CUDA

GPU programming

Herramientas

Genesis-world

Isaac Sim

MuJoCo

Gazebo

Drake

Newton

Descripción del empleo

Genesis is seeking an experienced Physics Simulation Engineer in Paris to build core simulation infrastructure for robotics model development, evaluation, and iteration. You will design scalable systems for diverse workloads across tasks and robots, develop reusable environment frameworks, and help bridge the sim-to-real gap with policy and asset teams.

Ideal candidates bring deep physics simulation expertise, ownership, and a proactive mindset, with strong CUDA/GPU programming skills and