Software Engineer, Fleet Data Pipelines

Posted 10 months ago San Francisco, CA full-timeAbout This Role Build the data infrastructure that ingests, processes, and manages petabytes of sensor data from autonomous vehicle and robotics fleets. Design scalable pipelines that transform raw fleet data into high-quality training datasets for Physical AI.Key ResponsibilitiesDesign and implement large-scale data pipelines for fleet sensor data ingestionBuild systems to process video, LiDAR, radar, and IMU data streamsDevelop auto-labeling pipelines using state estimation and 3D reconstructionCreate data quality monitoring and validation systemsOptimize storage and retrieval for petabyte-scale datasetsCollaborate with ML teams to deliver training-ready datasetsRequirementsBS in Computer Science or equivalent experience 3+ years experience with large-scale data processing systemsProficiency in Python; experience with Spark, Kafka, or similar frameworksExperience with cloud infrastructure (AWS, GCP, or Azure) Knowledge of video/image processing and sensor data formatsFamiliarity with ML training data requirements and formatsWhat We Offer Competitive salary and meaningful equity in the team building Fleet Learning Infrastructure for Physical AIFull health, dental, and vision coverage, plus FSA and unlimited PTOWork on the closed-loop data infrastructure that the next generation of autonomous systems learns from A team that built Tesla Autopilot's data infrastructure, now building something bigger