As a Simulation Researcher/Engineer, you'll design simulation environments, build evaluation harnesses, develop simulation pipelines, and collaborate on generative models.
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.
Similar Jobs
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The role involves supporting integration and sales of Square's Developer Platform, collaborating with partners, and advising on solutions for sellers.
Top Skills:
Full-Stack DevelopmentRestful ApisSaaS
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Partner with Account Executives to design and demonstrate Webflow solutions for Enterprise customers. Lead discovery, solution design, technical validation, demos, workshops, and business case development. Influence product direction, run cross-functional initiatives, and travel up to 25% while supporting multiple active opportunities.
Top Skills:
AIAPIsCSSHTMLJavaScriptWebflow
Artificial Intelligence • Legal Tech
Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.
Top Skills:
APIsLlmsPythonSdksTypescriptWebhooksWorkflow Automation
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
