Jobs🇺🇸 United States

Software Quality Operations Specialist

Posted July 19, 2026

About this opportunity

Opportunity Overview

Waymo, an autonomous driving technology company, is hiring a Software Quality Operations Specialist. This role is part of the Software Quality Operations team, which ensures the safety, reliability, and quality of the Waymo Driver. The specialist will work with Engineering to design, test, and deploy Machine Learning and Generative AI models. They will also leverage AI-powered insights to identify emerging on-road issue trends and develop data-driven strategies for issue discovery and monitoring. The ideal candidate will have a BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations. They should be able to work in a fast-paced environment and have excellent communication and interpersonal skills. The company is experiencing rapid growth, expanding into new cities and launching new vehicle platforms. This role is critical to this expansion, enabling the company to scale safely and efficiently.

Responsibilities

Partner with Engineering to design, test, and deploy cutting-edge Machine Learning and Generative AI models
Leverage AI-powered insights 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
Define and document new policies, guidelines, and Standard Operating Procedures that integrate AI tools and insights into daily vendor workflows
Design and implement robust quality control processes for both human and AI-generated outputs
Act as the subject matter expert for Software Quality Operations
Provide technical leadership and consultation to stakeholders to enhance workflows and quality

Benefits

Base salary range of $48.56-$61.06 USD
Eligibility to participate in Waymo’s discretionary annual bonus program
Equity incentive plan
Generous Company benefits program

Requirements & Qualifications

BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations
Ability to work in a fast-paced, high-stress environment while maintaining good judgment
Excellent communication and interpersonal skills
Increased competency in supporting all phases of the machine learning development lifecycle
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
Ability to work a flexible schedule, including some weekends and holidays, as needed

How to Apply

Review the job description and requirements to ensure you are a good fit for the role.
Prepare your application, including your resume and any relevant work experience or education.
Click the Apply button below to submit your application.

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