Lead Evaluation Engineer – Scenario Coverage & Datasets (Autonomous Driving)

Highlights

• Own the evaluation dataset that determines if an autonomous release is trustworthy.
• Close scenario gaps via data mining, simulation variation and field capture.
• Turn hands-on coverage wins into processes the whole QA org can run.

Ideal candidate

A coverage thinker who maps infinite driving space, hunts rare-but-critical gaps, and defends what to test. Thrives owning datasets end-to-end and turning craft into repeatable process.

Requirements

• Hands-on with data using SQL and Python to pull, join and sanity-check metrics datasets
• Fluent use of LLMs for log search, triage, scenario generation and analysis scripts
• Strong written communication for engineering leads and safety organization
• Ability to reason about US road rules and real-world driver behavior