Teams at Avride

Own autonomous-vehicle safety testing across QA gates, acceptance criteria, reporting, release decisions, and evidence generation. Define and calibrate safety thresholds, classify findings, connect hazard analyses to scenario coverage, coach QA engineers, validate metrics, translate safety frameworks into testable requirements, and track applicable regulations. The role requires influencing cross-functional teams, documenting residual risk clearly, and supporting safety cases and regulatory readiness.

Owns quality acceptance and release qualification for analytical metrics used in autonomous-driving software decisions. Responsibilities include defining comprehensive case spaces, identifying silent failures, reviewing implementations, creating test data, building regression tests, quantifying defects, and communicating evidence-based fixes. The role requires strong Python and SQL, statistical literacy, product judgment, and experience testing data-heavy systems. Autonomous vehicles, robotics, ML evaluation, ClickHouse, A/B testing, and annotation experience are preferred.

Develop and maintain CI/CD pipelines, hardware-in-the-loop systems, firmware deployment tools, diagnostics, and embedded-system testing infrastructure. Collaborate with hardware and software teams on system architecture, monitor infrastructure performance, resolve firmware development issues, and improve build, test, and deployment workflows for autonomous vehicles and robots.