Robotics Simulation Engineer for Real-World Training

lumalabs-ai; San Francisco (CA); On-site; USD 250,000 - 450,000; Full time

Job summary

lumalabs-ai is building a faithful, controllable world simulation to train general-purpose robot policies. You will operate at the boundary between generative models and physics simulation to decide where each earns its keep.

You will design visually rich, physically plausible environments, build evaluation harnesses, and develop GPU-accelerated pipelines, collaborating with world-model and policy-learning researchers to advance sim-to-real transfer.

Qualifications

• Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D.
• Fluency in Python and C++; familiarity with a production physics engine.
• Track record of building simulation systems used by others.

Responsibilities

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

Skills

Robotics simulation

Python

C++

Isaac Sim

MuJoCo

Bullet

PhysX

Drake

Tools

Isaac Sim

MuJoCo

Bullet

PhysX

Drake

Job description

lumalabs-ai is building a faithful, controllable world simulation to train general-purpose robot policies. You will operate at the boundary between generative models and physics simulation to decide where each earns its keep.

You will design visually rich, physically plausible environments, build evaluation harnesses, and develop GPU-accelerated pipelines, collaborating with world-model and policy-learning researchers to advance sim-to-real transfer.