Autonomous Vehicle Data Quality Engineer I

• Job Title: Data Quality Engineer (Autonomous Vehicle Operations)
• Duration: 1 year
• Location: Sunnyvale, CA (100% Onsite)

Important note: Candidates should be from existing AV companies

Top 3 responsibilities:

• Data Triage & Root-Cause Tagging: Conduct initial analysis on fleet disengagements, assign standardized root-cause labels and Jira links, and track trends to maintain high data quality for downstream modeling.
• Issue Lifecycle Management: Manage disengagement issues from initial field recording through engineering handoff to final resolution verification.
• Process & Tool Optimization: Test and validate automation scripts and dashboards, providing feedback to developers while following and refining operational SOPs across shifts.

Mandatory Experience:

Experience: Minimum 2+ years of technical operations, quality assurance, data triage, or software/hardware testing experience in autonomous vehicles, ADAS, robotics, aerospace, or safety-critical industries.

• ● Data & Log Triage Skills: Demonstrated ability to perform log analysis, troubleshoot complex technical workflows, and navigate issue-tracking ecosystems (e.g., Jira, Confluence).
• ● Scripting & Data Basics: Basic proficiency with scripting languages (e.g., Python, Bash) or database queries (SQL) for log parsing, metric verification, or data filtering.
• ● Technical Terminology: Strong familiarity with autonomous vehicle terminology, software release workflows, and multi-sensor hardware systems.

Nice to have:

Candidates should be from existing AV companies

• ● Domain Expertise: Experience with multi-modal sensor suites (Lidar, Radar, Cameras) and familiarity with CAN bus diagnostic logging tools or time-series data visualization platforms.
• ● Validation & Simulation Exposure: Prior exposure to virtual simulation platforms (Software-in-the-Loop) or physical test bench environments (Hardware-in-the-Loop).
• ● Quality & Safety Mindset: Proven track record of high detail orientation, bias-free problem-solving, and strict adherence to technical safety playbooks.