About The Position

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. 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. SWQ Ops plays a critical role in this expansion, making it possible to scale safely and efficiently. The Scenario Operations team within SWQ Ops owns the scaled delivery and maintenance of simulation-based directed testing coverage used to evaluate the Safety and performance of the driver as Waymo continues to scale. In this role on Scenario Operations…

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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.
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