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Opportunity
Operations

Software Quality Operations Specialist

Waymo · Triage (SQW)

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Pay
$130,000–$160,000/yr
Where
Mountain View, CA, United States; San Francisco, CA, United States; Remote, United States
Posted
Dec 17, 2025

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.

What you'd do

  • Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.
  • Leverage AI-powered insights and traditional triage signals to proactively identify emerging 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 key link between AI/ML development and operational execution. Define and document new policies, guidelines, 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. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance.
  • Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure 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 our workflows and quality.
  • You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.
  • A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment.
  • Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment.

What they want

  • BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations
  • Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.
  • Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.
  • Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.
  • Must have the ability to provide occasional on-call availability for evenings, weekends, and holidays, as well as the flexibility to attend meetings outside of standard hours to collaborate with our global team.
  • Demonstrated strong execution with ability to drive outcomes.
  • Experience working with offshore teams / multiple local operations hubs.
  • Basic SQL querying.
  • Competency in LLM / transformer models, and / or ML for robotics domain experience.
  • A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions.