Senior Software Engineer - Autonomy Safety Metric (Autonomous Driving)

Location: Foster City, CA, United States; hybrid

Salary: USD 239,000–280,003 per year

Company

Zoox develops autonomous driving technology and software for expanding autonomous vehicle operations across cities.

What you will do

• Build and maintain Behavior Evaluation data pipelines using PySpark, Databricks, EMR Serverless, and Airflow to produce weekly per-geofence estimates.
• Implement sampling, triage weights, mileage sharing, and projections as tested, reproducible code with strong data-quality checks.
• Develop tools to reduce manual work in weekly evaluation runs.
• Collaborate with engineers, researchers, and cross-functional stakeholders to apply methodology consistently in code and clearance reports.
• Adapt the evaluation system to new software-release methodologies and geofences.

Requirements

• 7–9 years of experience, or 5+ years with a strong data-platform track record.
• Expert Python skills with production experience in PySpark/Spark and Pandas.
• Experience designing scalable batch data pipelines, including orchestration, Delta/lakehouse tables, and idempotent backfills.
• Strong applied-statistics knowledge covering sampling, weighting, estimators, and confidence intervals.
• Strong testing and CI practices for data code.

Nice to have

• Experience with autonomous-vehicle simulation, safety metrics, or triage workflows.
• Experience putting ML models into production in a data pipeline.
• Experience with Databricks and AWS, including EMR Serverless and S3.

Culture & Benefits

• Full-time hybrid work in Foster City, California.
• Collaborative work with engineers and researchers in a fast-paced environment.
• Accommodation support is available for the application and interview process.
• AI tools may support parts of hiring, while final hiring decisions are made by people.