Jobs → QA & Testing → AV Quality Assurance Specialist

About the Role We are looking for a detail-oriented AV Quality Assurance Specialist to help solve one of the biggest challenges in autonomous driving: unlocking high-quality, real-world, long-tail driving data. This role focuses on analyzing fleet logs, investigating disengagements, identifying edge cases, and ensuring high-quality data for autonomous driving systems. Key Responsibilities • Analyze real-world autonomous vehicle logs, driver interventions, system overrides, and disengagement events. • Perform first-level root-cause analysis and classify software, hardware, and sensor-related anomalies. • Enrich driving data with structured metadata, diagnostic notes, issue tags, and Jira links. • Track issues from initial identification through engineering handoff and resolution verification. • Test and validate automated triage tools, scripts, and diagnostic dashboards. • Collaborate with system validation engineers, software teams, and field operations. • Identify recurring edge cases, hardware dropouts, and data annotation inconsistencies. • Follow standardized SOPs to maintain accuracy, consistency, and safety. Requirements • 1–2+ years of experience in QA, technical operations, data triage, or software/hardware testing. • Experience in autonomous vehicles (AV), ADAS, robotics, aerospace, or other safety-critical industries. • Basic proficiency in Python, Bash, or SQL for log analysis and data filtering. • Familiarity with Jira, Confluence, issue tracking, and technical documentation. • Understanding of software validation, debugging, and system troubleshooting. • Strong attention to detail, analytical thinking, and a safety-first mindset.