Perception Data Engineer

• Develop Python and C++ infrastructure to ingest, validate, and organize camera and LiDAR data from our collection vehicles — file handling, data verification, metadata extraction, and database writes
• Run camera, lidar, gps calibration workflows on the data collection vehicles
• Debug hardware/software integration issues on data collection rigs including sensor connectivity, logging failures, storage limits, and network dropouts
• Build and maintain ETL pipelines that move high-volume sensor data from vehicles to internal storage and annotation vendors
• Collaborate with external annotation and labeling vendors: package data for delivery, validate returned labels, and flag quality issues
• Collaborate with the operations team to plan, support, and execute data collection runs

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field
• or equivalent practical experience
• 3+ years of industry experience in software development, with production Python and C++ (2+ years with a Master's)
• Strong fundamentals in software engineering — data structures, algorithms, system design, and writing code that is readable, testable, and maintainable
• Hands-on experience designing and operating data pipelines at scale, including ownership through incidents and iterations
• Familiarity with robotics or autonomous systems data — sensor logs, binary formats, or perception datasets is a plus
• Experience with databases as part of a production data workflow, including schema design and data integrity considerations
• Ability to work independently and cross-functionally in a fast-moving environment with ambiguous requirements

Familiarity with robotics or autonomous systems data — sensor logs, binary formats, or perception datasets