Autonomy Engineer, Data

What you'll do

• Build and maintain pipelines for ingesting, validating, organizing, and enriching vehicle sensor recordings.
• Develop dataset tools and workflows for ML training, evaluation, debugging, backfills, and reprocessing.
• Investigate data quality and performance issues, evolve schemas, and collaborate with autonomy teammates on their data needs.

What they ask for

• Strong Python skills and software engineering fundamentals, including testing and debugging.
• Hands-on technical work involving robotics, autonomous vehicles, computer vision, or other sensor-based systems; internships, research, and substantial projects count.
• Experience building software to process and organize data, with attention to correctness and failure handling.
• Eligibility to work in the United States.

Nice to have

• Experience with video, multimodal sensor logs, or ML training datasets.
• Experience with databases, data lakes, migrations, batch processing, workflow orchestration, cloud object storage, dataset enrichment, automated labeling, map generation, data versioning, reproducible processing, large-scale backfills, or Bazel.

Tools

Python, Bazel

AI focus

Build data systems that support autonomy model training, evaluation, and debugging by processing vehicle sensor recordings. The posting also states that AI tools may be used in hiring to compare applicant qualifications with the job description; a human reviews the output and makes the final decision.