Simulation Researcher/Engineer

About the job

You'll help define the simulation substrate Luma uses to train general-purpose robot policies — a faithful, controllable simulation of the world built on our generative video and 3D models. You'll sit at the boundary between generative models and classical physics simulation, and decide where each one earns its keep.

It's a role at the edge of generative rollouts and physics engines, building environments and evaluation harnesses trainable at scale. It fits someone with real simulation-systems experience who's shipped tools other people used. If you want a pure-research or pure-graphics seat, this lives in the hybrid between them.

What You'll Own

• Design simulation environments that are visually rich, physically plausible, and trainable at scale — a hybrid of generative rollouts and physics-engine scenes.
• Build the evaluation harness that shows whether the world model is good enough to train robots on (sim-to-real gap, physical consistency, long-horizon coherence).
• Develop differentiable and GPU-accelerated simulation pipelines where they unlock new training signal.
• Drive the asset, scene, and task generation pipelines, including using Luma's own generative stack to bootstrap diversity.