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Software Quality Operations Specialist, Domain Expansion

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Waymo
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Machine Learning/ ML Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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:
  • Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster ODD expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver.
  • De-risking New Deployments:
    Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights. This "early intervention in RO issue detection" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like W12.
  • Enabling Market Expansion:
    Our team is deeply integrated into every stage of Waymo's market entry framework, from initial city evaluation (OK2

    Plan) to scaling operations (OK2

    Scale). We provide the necessary data analysis, policy development, and quality assurance to unblock critical milestones, preventing slowdowns in market expansion velocity.
  • Driving Engineering Velocity:
    By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, Sys Eng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver.
You will:
  • Partner with Engineering to design and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools. These models and tools drive step-change improvements in issue discovery and detection, triage efficiency, and quality assurance.
  • Use AI-powered insights and traditional triage signals to identify the latest on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs.
  • Serve as the main link between AI/ML development and operational execution by defining and documenting new policies and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows.
  • Design and implement robust quality control processes for both human and AI-generated outputs, performing meta-quality checks, validating the integrity of vendor work, and providing feedback to improve both human and model performance.
  • Act as the Subject Matter Expert for Software Quality Operations. You will work closely with stakeholders, program leads, and vendor teams to ensure the seamless adoption and maximum impact of AI/ML advancements in our quality processes.
  • Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals.
  • Provide technical leadership and consultation to stakeholders to enhance workflows and quality by identifying and escalating tool issues, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.
You have:
  • BS/BA degree or 4 years of…
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