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Immerse & Diagnose:

Learn the generative stack and where physics simulation and generative rollouts each fit. Days 30-60 —

Ship & Validate:

Build a first hybrid simulation environment and an evaluation harness for it. Days 60-90 —

Scale & Systemize:

Scale the asset, scene, and task pipelines and make the eval a reliable training signal. What You Bring 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. Nice to Have Research on sim-to-real transfer, domain randomization, differentiable simulation, or neural-rendering-based simulation. A game engine, CGI, animation, or photogrammetry background. Publications at top venues (CoRL, RSS, ICRA, Neur

IPS, SIGGRAPH

About Luma:

Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. 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Simulation Researcher/Engineer