Hybrid Simulation Engineer for Generative Worlds

Luma AI; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Luma seeks a simulation systems engineer to define the substrate used to train general-purpose robot policies. You’ll combine generative rollouts with physics engines to create environments and evaluation harnesses at scale, and you’ll balance research and tooling needs in a hybrid role.

Own the design of visually rich, physically plausible simulations, build differentiable, GPU-accelerated pipelines, and scale asset/scene pipelines using Luma’s generative stack to bootstrap diversity.

Qualifications

• Strong background in robotics simulation, computer graphics or generative 3D.
• Familiarity with production physics engines (list above).
• Track record building simulation systems used by others.
• Experience shipping tools and pipelines for scalable training.

Responsibilities

• Design visually rich, physically plausible simulation environments.
• Build evaluation harnesses to validate world models for robots.
• Develop differentiable, GPU-accelerated simulation pipelines.
• Drive asset, scene, and task generation using generative stacks.
• Collaborate with world-model and policy-learning researchers.

Skills

Robotics simulation

Computer graphics

Physics-based modeling

Generative 3D

Tools

Isaac Sim/Lab

MuJoCo

Bullet

PhysX

Drake

Job description

Luma seeks a simulation systems engineer to define the substrate used to train general-purpose robot policies. You’ll combine generative rollouts with physics engines to create environments and evaluation harnesses at scale, and you’ll balance research and tooling needs in a hybrid role.

Own the design of visually rich, physically plausible simulations, build differentiable, GPU-accelerated pipelines, and scale asset/scene pipelines using Luma’s generative stack to bootstrap diversity.