
About Waymo
Revolutionizing transportation with autonomous driving
Key Highlights
- Operates in cities like Phoenix, San Francisco, and LA
- Completed over 10 million fully driverless rides
- Raised $11.1 billion in funding
- Aiming for one million trips per week by 2026
Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...
🎁 Benefits
Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...
🌟 Culture
Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...
Skills & Technologies
Overview
Waymo is seeking a Software Quality Operations Specialist to ensure the safety and reliability of its autonomous driving technology. You'll partner with engineering teams to design and deploy cutting-edge Machine Learning and Generative AI models. This role requires expertise in quality assurance and operational efficiency.
Job Description
Who you are
You have a strong background in software quality assurance and operations, ideally with experience in autonomous systems or related fields. Your expertise in Machine Learning and Generative AI allows you to contribute to innovative solutions that enhance operational efficiency and quality assurance processes. You are detail-oriented and possess excellent problem-solving skills, enabling you to identify issues and drive improvements effectively.
You thrive in collaborative environments, working closely with engineering teams to design, test, and deploy advanced models and tools. Your ability to communicate complex technical concepts clearly makes you a valuable partner in cross-functional projects. You are adaptable and eager to learn, staying updated with the latest advancements in AI and machine learning technologies.
Desirable
Experience in the autonomous vehicle industry or related technology sectors is a plus. Familiarity with software development processes and methodologies will help you integrate seamlessly into the team. A passion for improving safety and reliability in autonomous systems drives your work.
What you'll do
In this role, you will be at the forefront of ensuring the quality and reliability of the Waymo Driver. You will partner with engineering teams to design and implement cutting-edge Machine Learning and Generative AI models that enhance issue discovery and detection. Your contributions will directly impact the safety and efficiency of Waymo's autonomous vehicle service as the company expands into new cities and vehicle platforms.
You will leverage your expertise to develop scalable operations powered by AI, delivering crucial insights that support the deployment and growth of Waymo's services. Your role will involve analyzing data, identifying trends, and recommending improvements to enhance quality assurance processes. You will also participate in testing and validating new technologies, ensuring they meet the highest standards of safety and reliability.
Collaboration is key in this position, as you will work closely with various teams to ensure alignment on project goals and timelines. You will be responsible for documenting processes and results, contributing to a culture of continuous improvement within the organization. Your insights will help shape the future of autonomous driving technology, making a meaningful impact on mobility and safety.
What we offer
Waymo offers a competitive salary range of $120,000—$151,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will also benefit from a generous company benefits program, which includes health and wellness resources, professional development opportunities, and a supportive work environment. Join us in our mission to revolutionize transportation and improve access to mobility while saving lives.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Waymo.
Similar Jobs You Might Like
Based on your interests and this role

Software Quality Operations Specialist
Waymo is hiring a Software Quality Operations Specialist to ensure the safety and reliability of its autonomous driving technology. You'll partner with engineering to design and deploy cutting-edge Machine Learning and Generative AI models. This role requires experience in quality assurance and AI technologies.

Software Quality Operations Specialist
Waymo is hiring a Software Quality Operations Specialist to ensure the safety and reliability of its autonomous driving technology. You'll partner with engineering teams to design and deploy cutting-edge Machine Learning and Generative AI models. This role requires expertise in quality assurance and a strong understanding of AI technologies.

Software Quality Operations Specialist
Waymo is seeking a Software Quality Operations Specialist to ensure the safety and reliability of its autonomous driving technology. You'll partner with engineering teams to design and deploy cutting-edge Machine Learning and Generative AI models. This role requires expertise in quality assurance and a strong understanding of AI technologies.

Software Quality Operations Specialist
Waymo is hiring a Software Quality Operations Specialist to ensure the safety and reliability of its autonomous driving technology. You'll partner with engineering to design and deploy cutting-edge Machine Learning and Generative AI models. This role requires expertise in quality assurance and AI technologies.

Software Quality Operations Specialist
Waymo is seeking a Software Quality Operations Scenarios Specialist to ensure the safety and reliability of its autonomous driving technology. You'll play a critical role in scaling operations and delivering insights necessary for deployment. This position requires expertise in quality operations and scenario testing.