Simulation Researcher/Engineer
Core
Design and build simulation environments and evaluation harnesses that combine generative video/3D models with classical physics engines to train general-purpose robot policies.
Role type
Simulation Researcher/Engineer (Robotics & Generative AI)
Builds
Hybrid simulation environments, evaluation harnesses, and differentiable GPU-accelerated pipelines for robot training.
Domain
Robotics, Computer Graphics, Physics Simulation, Generative AI
Deliverable
production ML models
Required skills
Robotics simulation, computer graphics, physics-based modeling, generative 3D, Python, C++, production physics engines (Isaac Sim/Lab, MuJoCo, Bullet, PhysX, Drake), building simulation systems for others
Preferred skills
Sim-to-real transfer, domain randomization, differentiable simulation, neural-rendering-based simulation, game engines, CGI, animation, photogrammetry, top-tier publications (CoRL, RSS, ICRA, NeurIPS, SIGGRAPH)
Technologies
Isaac Sim/Lab, MuJoCo, Bullet, PhysX, Drake, Python, C++, GPU
Responsibilities
Design visually rich and physically plausible simulation environments; Build evaluation harnesses to validate world models; Develop differentiable and GPU-accelerated simulation pipelines; Drive asset, scene, and task generation pipelines using generative stacks; Collaborate with world-model and policy-learning researchers
Seniority
Mid-to-Senior, hands-on IC
