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
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
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.
Skills Required
- Passion for craft and demonstrated excellence in physics simulation engineering.
- Exceptional ownership and initiative; ability to find and solve problems independently.
- Extensive experience in physics simulation, preferably rigid body simulation, FEM, CFD.
- Insights and requests from a robotic researcher/engineer's perspective to improve user experience.
- Proficiency in CUDA and GPU programming.
- Experience in robotics control.
What We Do
Genesis AI is a global full-stack robotics company developing general-purpose robots with human-level intelligence and capabilities. It aims to build foundational AI models that automate repetitive tasks across applications such as lab work and housekeeping. The company uses a proprietary physics engine to generate synthetic physical-world data, helping train robotics models for diverse real-world environments, and operates across Paris and Silicon Valley.
