Senior Test Engineer - Metrics Quality

Highlights

• Own acceptance of metrics that gate autonomous driving release decisions.
• Hunt silent failures where metrics return nothing instead of warning.
• Qualify metric releases and evolve regression as metric count grows.

Ideal candidate

A skeptical, product-minded tester with depth in data-heavy systems who questions what numbers are for and backs challenges with evidence until fixes land.

Requirements

• 6+ years in software testing or test engineering with depth in data-heavy or analytical systems
• Strong Python and SQL, writing analysis scripts and reference computations routinely
• Statistical literacy: distributions, variance, sample size and aggregation traps
• Product thinking: asking what a number is for before testing it
• Conviction to challenge metric behavior with evidence and see conversations through
• Fluent use of LLMs as a working tool for analysis and test-data generation
• Clear written English for actionable findings