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You will be responsible for bringing up and operating commercial robot platforms to evaluate world models and collect data. Additionally, you will manage the data pipeline from robots to training and build benchmarks to track model performance.
The role requires a strong background in systems integration, including hands-on experience with ROS/ROS2, Python, and Linux at the systems level. Candidates must have a proven track record of maintaining complex robot setups and debugging issues across hardware and software stacks.
As Luma's founding Robotics Engineer, you'll bring up commercial robot platforms — humanoids, arms, mobile bases — wire up the sensors and data pipelines our world models need, and run the experiments that tell us whether the model actually works in the real world. We don't build robots here; we test models on them.
You'll be the bridge between research and the physical world, keeping a fleet of off-the-shelf robots running and debugging failures across hardware, drivers, and integration code. It fits a strong systems-integration engineer who's stood up complex robot setups and kept them alive. If you want to design robots rather than use them as a means to an end, this isn't that.
Bring up and operate off-the-shelf robot platforms (humanoids, manipulators, mobile bases) for model evaluation and data collection.
Integrate cameras, depth sensors, IMUs, and other sensors for world-model rollouts and policy evaluation.
Own the data pipeline from robot to training: logging, synchronization, calibration, and replay.
Build the test rigs and benchmarks that show whether the model is improving over time.
Keep the fleet running, debugging failures across hardware, drivers, and integration code.
Translate "what the model needs" into "what the robot does."
One way the first 90 could unfold.
Days 1–30 — Immerse & Diagnose: Bring up the first robot platform and sensor stack, and map what world-model evaluation needs.
Days 30–60 — Ship & Validate: Stand up a working robot-to-training data pipeline and a first benchmark.
Days 60–90 — Scale & Systemize: Expand the fleet and make evaluation repeatable and reliable.
A strong systems-integration background: robots, drivers, sensors, real-time control.
Hands-on with ROS/ROS2 (or equivalent), Python, and Linux at the systems level.
Comfort debugging across the stack, from kernel-level driver issues to ML pipeline bugs.
A track record standing up complex robot setups and keeping them running.
Experience with humanoids or manipulators from major vendors (Unitree, Figure, 1X, Agility, Franka).
Prior work in a research lab where the robot was a means to an end, not the end itself.
About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. Luma is an equal opportunity employer.
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.
Offices: San Francisco Bay Area, CA, US
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