Member of Technical Staff, Robotics Data
XDOF, San Mateo Hybrid
What you will do
Robotics data engineers are the bridge between raw collection and usable training data. Sample projects include:
- analyzing robotics data across modalities to identify quality issues: plotting joint velocities, validating camera poses, checking gripper encoder accuracy, and flagging anomalous collection sessions
- building automated validation pipelines that run on ingestion and catch problems before data enters the warehouse
- designing and documenting data formats and schemas across collection modalities, ensuring they are consistent, versioned, and well-understood by partners and internal researchers
- building data visualization tools and dashboards so the broader team can inspect and understand the data without writing custom scripts
- validating cross-modal temporal alignment, including timestamp synchronization, dropped frame detection, and clock drift across camera, joint, and gripper streams
- defining quality metrics and thresholds per modality and tracking whether data quality is improving or degrading as collection scales
