Avride Benefits Overview

The QA Engineer will design and execute testing plans for autonomous driving software, analyze test scenarios, and document outcomes. Collaboration with cross-functional teams is crucial for improving test processes and safety metrics.

Build ETL pipelines that transform vehicle, API, database, sensor, logistics, and testing data into reliable warehouse datasets. Write optimized SQL, create Grafana dashboards, collaborate with teams to deliver required data, and explore AI and LLM tools for analysis automation. The role requires Python data-library expertise, advanced SQL, modern pipeline development, BI-tool experience, workflow orchestration familiarity, and strong data quality ownership.

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.