- Robot type
- Autonomous Vehicle
- Location
- USA
- Job type
- Software
- Posted
- Dec 9, 2025
- Salary
- $120,000–$151,000 a year
Software Quality Operations Specialist, Domain Expansion
Job description
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.
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.
Job responsibilities
- Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive improvements in issue discovery & detection, triage efficiency, and quality…
- Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases.
- 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…
- 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…
- 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…
- 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…
- Scale workflow from 16/5 to 24/7 coordinating with external stakeholders, vendor team, and FTE team
Job requirements
- BS/BA degree and 4 years of relevant work experience in QC or AV Software Quality Operations
- Increased competency in supporting all phases of the machine learning development life-cycle: data preparation, training, 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
- 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
- Demonstrated strong execution with ability to drive outcomes
- Ability to effectively and efficiently communicate with cross-functional stakeholders
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