Simulation Researcher/Engineer
$250,000–$450,000 year
Remote · United States or Singapore
Job Summary
Design simulation environments that are visually rich, physically plausible, and trainable at scale — a hybrid of generative rollouts and physics-engine-based scenes. Build the evaluation harness to test world-model readiness for robot training, and develop differentiable and GPU-accelerated simulation pipelines. Drive asset, scene, and task generation pipelines using Luma's generative stack to bootstrap diversity. Collaborate with world-model researchers and policy-learning researchers to advance sim-to-real transfer and long-horizon coherence.
Required Qualifications
- Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D — degree or equivalent practical record.
- Fluency in Python and C++; deep familiarity with at least one production physics engine (Isaac Sim/Lab, MuJoCo, Bullet, PhysX, Drake).
- Track record of building simulation systems other people actually used.
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