
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...

Software Engineering • Mid-Level
Waymo • United States - Remote
Overview
Waymo is seeking a Software Quality Operations Specialist to ensure the safety and reliability of its autonomous driving technology. You'll play a critical role in supporting the development of automated machine learning processes. This position is suitable for candidates with a background in software quality operations.
Job Description
Who you are
You have a strong background in software quality operations, ideally with experience in the autonomous driving or technology sectors. Your understanding of safety evaluation processes and quality assurance methodologies makes you a valuable asset to the team. You are adaptable and thrive in a fast-paced environment, ready to tackle the challenges of scaling operations in a rapidly growing company.
You possess excellent analytical skills and can interpret complex data to derive actionable insights. Your attention to detail ensures that you can identify potential issues before they escalate, contributing to the overall safety and reliability of the Waymo Driver. You are a team player who enjoys collaborating with cross-functional teams to achieve common goals.
Desirable
Experience with machine learning and AI technologies is a plus, as is familiarity with autonomous vehicle systems. You are comfortable working with various software tools and platforms that support quality operations. A proactive approach to problem-solving and a commitment to continuous improvement are essential traits that you bring to the role.
What you'll do
In this role, you will be at the forefront of ensuring the safety and quality of Waymo's autonomous driving technology. You will support the development of a single, automated, end-to-end machine learning flywheel that is crucial for scaling the Waymo Driver. Your contributions will help the team deliver insights necessary for the safe deployment of autonomous vehicles across new cities.
You will collaborate closely with engineers and data scientists to refine quality assurance processes and implement best practices. Your role will involve analyzing data from various sources to identify trends and potential areas for improvement. You will also participate in the development of testing protocols that ensure the reliability of the Waymo Driver.
As the company expands into new markets, you will play a critical role in adapting quality operations to meet the unique challenges of each new city. Your insights will help shape the future of autonomous driving, making it safer and more efficient for users.
What we offer
Waymo provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work with cutting-edge technology and contribute to a mission that aims to improve mobility and save lives. The company offers competitive compensation, including a salary range of $48.56—$61.06 per hour, along with a comprehensive benefits package. You will also have the chance to participate in Waymo's equity incentive plan, aligning your success with the company's growth.
Join a team that is passionate about transforming transportation and making a meaningful impact on society. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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, reliability, and quality of the Waymo Driver. You'll play a critical role in supporting the development of automated machine learning operations. This position requires expertise in quality assurance processes and operations.

Software Quality Operations Specialist
Waymo is hiring a Software Quality Operations Specialist to support the expansion of its autonomous driving technology. You'll play a critical role in ensuring safe and efficient operations as the company scales into new international markets. This position requires relevant experience in quality operations and a strong understanding of autonomous vehicle systems.

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 operational efficiency.

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.