Lead Evaluation Engineer – Scenario Coverage & Datasets (Autonomous Driving)
Lead Evaluation Engineer Scenario Coverage & Datasets (Autonomous Driving)
About the team
Avride builds autonomous driving technology for vehicles and delivery robots. Our QA organization measures how well that technology drives, largely in simulation — and an evaluation is only as good as the data behind it. So we build our own datasets, keep track of what they cover, and keep widening that coverage as the technology takes on more of the road.
About the role
You will own test coverage for the autonomous driving stack, end to end. Scenario areas are owned by individual QA engineers. You own the whole: what our evaluation dataset must contain for a release decision to be trustworthy, where the gaps are that nobody working inside a single area can see, and how those gaps keep surfacing without you being the one who finds them.
Coverage is a data problem before it is a testing problem. A scenario that exists on paper is not covered until there are real scenes behind it, and closing that distance is the craft of this role: metric-driven search across driving data, VLM-assisted retrieval and clustering, criticality-based selection, variation in simulation, and structured capture in the field. You will use that toolkit yourself before you ask anyone else to, and turn what works into something the whole QA team can run without you.
