Software Engineer, ML Ops

📋 Description

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

🎯 Requirements

• 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 DevOps tools
• Familiarity with cloud storage and compute (AWS - S3, EC2, etc.)
• Understanding of ML workflows and dataset versioning

🎁 Benefits