Member of Technical Staff, Robotics System Integration
XDOF, San Mateo Hybrid
The role
We're looking for a full-stack engineer who can work across the entire stack, from hardware, sensors, and data pipelines through to algorithm deployment, and who will independently own the end-to-end implementation of embodied AI capabilities on robots.
What you will do
- Maintain and iterate on the embodied AI data collection system, covering multimodal sensor synchronization, data pipelines, storage, and downstream annotation toolchains.
- Own the integration, calibration, and routine maintenance of camera systems (ZED / RealSense / industrial cameras, etc.) and robotic arms, keeping equipment stable and operational.
- Independently own end-to-end deployment of imitation learning / DAgger / teleoperation algorithms on robots, including data collection, model training, inference deployment, and on-site tuning.
- Drive data quality assurance mechanisms: timestamp synchronization, coordinate frame alignment, anomalous data detection, and rapid diagnosis and repair of collection failures.