Robotics Simulation Platform Engineer

Genesis AI; Paris; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Closed-loop evaluation (bonus)

Simulation tools experience

Synthetic data pipelines

Robot manipulation experience

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Physics simulation engineering

Ownership and initiative

Robotics researcher perspective

CUDA and GPU programming

Tools

CUDA

Job description

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