Luma AI is the creative AI platform for video generation and image creation. Powered by the world's leading video generation models, Ray and Uni, and creative agents handling end-to-end workflows. Trusted by leading agencies and brands. Try it free. Backed by General Catalyst, a16z and CRV.
About the role
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.
What they're looking for
- A strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D, by degree or practical record
- Fluency in Python and C++, and deep familiarity with at least one production physics engine (Isaac Sim/Lab, MuJoCo, Bullet, PhysX, Drake)
- A track record building simulation systems other people actually used
More about this role
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.
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...
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