The Role
As a Simulation Researcher/Engineer, you'll design simulation environments, build evaluation harnesses, develop simulation pipelines, and collaborate on generative models.
Summary Generated by Built In
THE ROLE
We're building a sufficiently faithful, controllable simulation of the world — on top of Luma's generative video and 3D models — as the substrate for training general-purpose robot policies. As a Simulation Researcher/Engineer, you'll help define what that substrate looks like. You will sit at the boundary between generative models and classical physics simulation, and you'll be one of the people who decides where each one earns its keep.
WHAT YOU'LL DO
- Design simulation environments that are visually rich, physically plausible, and trainable at scale — a hybrid of generative rollouts and physics-engine-based scenes.
- Build the evaluation harness that tells us whether our 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.
- Collaborate with world-model researchers (upstream) and policy-learning researchers (downstream).
MINIMUM QUALIFICATIONS
- Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D — degree or equivalent practical record.
- Fluency in Python and C++; deep familiarity with at least one production physics engine (Isaac Sim/Lab, MuJoCo, Bullet, PhysX, Drake).
- Track record of building simulation systems other people actually used.
PREFERRED
- Research on sim-to-real transfer, domain randomization, differentiable simulation, or neural-rendering-based simulation.
- Game engine, CGI, animation, or photogrammetry background.
- Publications at top venues (CoRL, RSS, ICRA, NeurIPS, SIGGRAPH).
CompensationThe base pay range for this role is $250,000 – $450,000 per year.
About LumaLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
Skills Required
- Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D
- Fluency in Python and C++
- Deep familiarity with at least one production physics engine (Isaac Sim, MuJoCo, Bullet, PhysX, Drake)
Luma AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Luma AI and has not been reviewed or approved by Luma AI.
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Fair & Transparent Compensation — Pay is considered competitive for senior technical and some non-technical roles, with posted bands indicating strong market alignment in key locations. Publicly listed ranges provide directional clarity for certain roles and markets.
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Equity Value & Accessibility — Equity is positioned as a meaningful component of total compensation, and language in postings emphasizes ownership alongside cash pay. Signals indicate equity can be significant in senior roles where competition for talent is intense.
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Healthcare Strength — Core medical, dental, and vision coverage are referenced in multiple postings, aligning with standard expectations for venture-backed tech companies. These inclusions suggest baseline health benefits are part of the package.
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The Company
What We Do
Luma AI’s mission is to build Multimodal AGI: AI that can generate, understand, and operate in the physical world. We develop multimodal models across video, 3D, and generative media, and ship them in products like Dream Machine to help creators and teams turn ideas into compelling visuals—fast.








