Senior Software Engineer - Autonomy Safety Metric

The role

You will own and scale the data pipelines that produce Zoox's weekly estimates of how often the autonomy stack causes unexpected stops and how that maps to collision risk. You will turn the statistical method into tested, reproducible code and build tools that reduce manual work in each weekly run.

What you will do

• Build and maintain Behavior Evaluation data pipelines (PySpark/zspark medallion architecture on Databricks, EMR Serverless and Airflow) that produce weekly per-geofence estimates.
• Turn the statistical method (sampling, triage weights, mileage sharing, projections) into tested, reproducible code with checks that fail loudly when data is bad.
• Build tools that cut the manual work in each weekly run.
• Work with cross functional stakeholders so the methodology is applied consistently in code and in clearance reports.
• Help adapt to new release methodologies and new geofences.

Required qualifications

• 7 - 9 years of experience or 5+ years with a strong data-platform track record
• Expert Python, with production experience in PySpark/Spark and Pandas
• Experience designing scalable batch data pipelines: orchestration, Delta/lakehouse tables, idempotent backfills
• Solid grounding in applied statistics: sampling, weighting, estimators, confidence intervals
• Strong testing and CI habits 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 (EMR Serverless, S3)

Before you apply

• You do not need to match every listed expectation to apply.
• The company may use AI tools to support parts of the hiring process; final decisions are made by humans.

About the company

Zoox is expanding its autonomous driving technology to more cities. The Behavior Evaluation team measures the safety of Zoox's autonomous driving software.