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Automotive, Autonomous Vehicles, Robotics, Sensors, Semiconductor

Software Engineer

San Francisco, California, United StatesOnsiteFull Time$154,900–$209,600 /yrPosted 2 months agoVisa sponsorship available

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### Who you are
- 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

### What the job involves
- We're looking for an engineer who can own data collection, scalable data systems, and sensor data workflows. You'll work cross-functionally with perception, operations, and labeling teams to build fast, reliable, and production-grade data pipelines
- 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

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