Job Overview
Location
Los Angeles, CA, New York, NY, SF Bay Area, CA, Remote, US, International, US, Remote, International, Singapore, SGP
Job Type
Full-time
Category
Software Engineering
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Design simulation environments that are visually rich, physically plausible, and trainable at scale by combining generative rollouts with physics-engine-based scenes.
- • Build evaluation harnesses to measure the quality of the world model, focusing on sim-to-real gap, physical consistency, and long-horizon coherence.
- • Develop differentiable and GPU-accelerated simulation pipelines to unlock new training signals for robot policies.
- • Drive asset, scene, and task generation pipelines using Luma’s proprietary generative video and 3D model stack to bootstrap diversity and scale.
- • Collaborate directly with upstream world-model researchers and downstream policy-learning researchers to align simulation capabilities with training objectives.
- • Define the boundary between generative modeling and classical physics simulation, determining where each approach delivers optimal performance and efficiency.
- • Ensure simulation environments are robust enough to train general-purpose robot policies that can transfer effectively to real-world deployment.
- • Optimize simulation infrastructure for high-throughput training, including scalable scene generation and parallelized evaluation metrics.
- • Leverage production-grade physics engines such as Isaac Sim/Lab, MuJoCo, Bullet, PhysX, or Drake to construct and validate dynamic systems.
- • Integrate Luma’s generative models into simulation workflows to create diverse, realistic, and controllable synthetic environments.
- • Maintain and improve the fidelity of simulated physical interactions while balancing computational efficiency for large-scale training.
- • Translate research goals into scalable engineering systems that enable continuous improvement in robot policy training performance.
- • Document simulation architectures, evaluation protocols, and asset generation workflows for cross-team adoption and reproducibility.
- • Participate in technical reviews and design discussions to shape the future direction of Luma’s simulation substrate for embodied intelligence.
🎯 Requirements
- • 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.
🏖️ Benefits
- • Base pay range of $250,000 – $450,000 per year.
- • Opportunity to work on cutting-edge simulation infrastructure for training general-purpose robot policies.
- • Collaborative environment with world-model and policy-learning researchers at Luma Labs.
Skills & Technologies
About Luma Labs, Inc.
Luma Labs is a technology company focused on developing advanced AI-powered tools for 3D content creation. Their flagship product enables users to capture real-world objects and environments and transform them into high-fidelity 3D models using just a smartphone. This technology serves various industries, including gaming, augmented reality (AR), virtual reality (VR), and e-commerce, by democratizing the creation of immersive digital assets. Luma Labs aims to make 3D scanning and modeling accessible to a broader audience, accelerating the development of the metaverse and other spatial computing applications.
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