Software Engineer, ML Ops

You will

• Build and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleet
• Convert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasets
• Set up training workflows and optimize cloud costs
• Build tooling to accelerate perception engineers' workflows - fast data access, reproducible experiments, automated evaluation pipelines
• Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability

• Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field
• Strong Python proficiency and working knowledge of ROS2
• Working knowledge of docker and other Dev Ops tools
• Familiarity with cloud storage and compute (
  AWS
  - S3
  , EC2
  , etc.)
• Understanding of ML workflows and dataset versioning

• Master's in Computer Science, Robotics, or a related discipline
• 2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems
• Experience with Weights & Biases
  , rosbag data
  , and large-scale sensor datasets
• Working knowledge of C/C++
• Experience supporting perception or ML research teams