Software Quality Operations Specialist, Regulatory Reporting

The Software Quality Operations (SWQOps) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.

Why This Team is Essential to Waymo's Success:

Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026) and launching new vehicle platforms. SWQOps, especially our Technical Specialists, plays a critical role in this expansion, making it possible to scale safely and efficiently. We are on the front lines of:

You will:

• Design Scalable Quality Architecture: Move the organization towards scalable QC (Quality Control) methodologies for test creation (e.g., statistical sampling, quality audits, and automated validation). Be the primary architect of how we verify work at increased scale
• Manage meta-quality assurance: Manage our meta-quality framework to drive overall test quality assurance. Review dashboards and trends to identify opportunities to improve first-time accuracy and reduce "rework" rates.
• Own the Maintenance Engine: Take ownership of the Maintenance Fulfillment funnel for test repairs. You will be responsible for the end-to-end velocity of resolving test-health issues identified by our Quality and Engineering teams.
• Match capacity with demand: Develop tiered standards and certification frameworks that enable our vendor workforce to perform a diverse range of quality fixes at different experience levels.
• Partner on Tooling development: Support the development of automation and AI-assisted tools that can decrease “Time-to-Resolution” for maintenance tasks identified by stakeholders.

You have:

• Bachelor's degree in technical or business discipline
• 7+ years of experience in Technical Operations, Program Management, or Quality Engineering
• Proficiency in SQL and data visualization and using it to identify root causes of operational bottlenecks
• Ability to translate operational constraints into technical requirements and experience working across technical partners (Product, Engineering, Data Science, Systems Engineering) to drive outcomes
• Ability to thrive in a high ambiguity, dynamic environment

We prefer:

• Undergraduate in technical degree
• Experience working with vendor workforces
• Experience with Lean / Six Sigma process improvement methodologies
• Familiarity with AQL (Acceptable Quality Limit) sampling or other statistical process control methodologies.
• Experience within A / V space and simulation-based test environments