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We don't build robots — we test models on them. As the 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
Job Responsibility
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 needed 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 tell us whether the model is improving over time
Keep the fleet running — debug failures across hardware, drivers, and integration code
Be the bridge between research and the physical world: translate 'what the model needs' into 'what the robot does.'
Requirements
Strong systems integration background — robots, drivers, sensors, real-time control
Hands-on with ROS/ROS2 (or equivalent), Python, and Linux at the systems level
Comfortable debugging across the stack: from kernel-level driver issues to ML pipeline bugs
Track record of standing up complex robot setups and keeping them running
Nice to have
experience with humanoids/manipulators from major vendors (Unitree, Figure, 1X, Agility, Franka, etc.)
prior work in a research lab where the robot was a means to an end rather than the end itself