Software Quality Operations Specialist

The Software Quality Operations (SWQOps) team At the heart of enabling safe and successful scale‑up into new international markets and incubating mission‑critical, high‑impact workflows, the SWQOps team builds 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, including international expansion to London and Tokyo) 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: International RO & New Market Readiness: Concerted effort to update triage policy, standing Voice of Customer in new countries. Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights to Product and Data Science partners. 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 international expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver. 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, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver. Workflow Incubation & Development: Incubating high‑impact workflows and ensuring readiness for automation and long‑term operational excellence. You will: 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. Provide technical requirements to Engineering for tooling that supports new market workflows (e.g., localization of ML/Gen‑AI models, new data pipelines). 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. Design and validate new triage policies, SOPs, and quality control processes specifically for London/Tokyo driving rules and data signals. Act as the Subject Matter Expert for technical policies and guidelines in the new market. Consult with local/international stakeholders to ensure seamless adoption of technical policies. Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. 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. You have: BS/BA degree or 8+ years of relevant work experience in AV Software Quality Operations. Strong understanding of driving rules and regulations in European (London) metropolitan areas. 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. 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. We prefer: Demonstrated strong execution with ability to drive outcomes. Demonstrated experience working with international and/or offshore vendor teams to drive global process standardization and quality. 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. Self‑motivated with basic skills in task planning and time management. Experience with project management or program management in a global, distributed environment. Salary The expected base salary range for this full‑time position is listed below. Actual starting pay will be based on job‑related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

£97,000—£105,000 GBP

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