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60 Waymo Autonomous Vehicle Operator Jobs Hiring Near You

Waymo

Brand Partnerships Lead

San Francisco, CA · On-site

$243K - $308K/yr

The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider ...

Waymo

Brand Partnerships Lead

Manhattan, NY · On-site +1

$243K - $308K/yr

The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider ...

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Waymo Jobs Information

What are the key skills and qualifications needed to thrive as an Autonomous Vehicle Operator, and why are they important?

To thrive as an Autonomous Vehicle Operator, you need a valid driver's license, a clean driving record, attention to detail, and a solid understanding of road safety regulations. Familiarity with data logging systems, onboard diagnostics, and autonomous vehicle software platforms is typically required, and some employers may prefer candidates with technical certifications or experience in vehicle technology. Strong situational awareness, communication skills, and the ability to remain calm under pressure are important soft skills that set top operators apart. These skills ensure the safe operation and accurate monitoring of autonomous vehicles during testing or deployment, which is critical to both public safety and the advancement of autonomous driving technology.

What are some common challenges faced by Autonomous Vehicle Operators during their daily tasks?

Autonomous Vehicle Operators often encounter challenges such as monitoring complex vehicle systems while maintaining consistent focus during long periods of testing. They must quickly respond to unexpected situations on the road, like erratic drivers or changing weather conditions, to ensure safety and accurate data collection. Effective communication with engineering and safety teams is essential, as operators regularly provide feedback and report anomalies to improve vehicle performance. Adaptability and strong attention to detail help operators excel in this dynamic, fast-evolving field.

What are autonomous vehicle operators?

Autonomous vehicle operators are professionals responsible for overseeing the safe operation and testing of self-driving vehicles. They typically monitor the vehicle’s systems, take control when necessary, and report data or issues to engineering teams. Their role is essential in ensuring that autonomous vehicles perform safely during testing and development phases, often on public roads or closed tracks. Operators also help troubleshoot technical problems and contribute feedback to improve vehicle performance.

What is the difference between Autonomous Vehicle Operator vs Delivery Driver?

AspectAutonomous Vehicle OperatorDelivery Driver
Required CredentialsDriver's license, safety training, sometimes certification in vehicle operationDriver's license, route knowledge, delivery-specific training
Work EnvironmentMonitoring autonomous vehicles, remote or on-site, in urban or suburban areasDriving vehicles to deliver goods, often on fixed routes or schedules
Employer & Industry UsageTech companies, autonomous vehicle services, logistics firmsRetail, food services, courier companies

While both roles involve vehicle operation, Autonomous Vehicle Operators focus on overseeing and monitoring autonomous systems, often remotely or in controlled environments, whereas Delivery Drivers are responsible for physically delivering goods using traditional driving skills. The roles differ mainly in technology use and work setting, but both require valid licenses and safety awareness.

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.
What other companies are hiring for Autonomous Vehicle Operator jobs?
What are the most popular jobs at Waymo?
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Infographic showing various Autonomous Vehicle Operator job openings at Waymo in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Software Quality Operations Specialist, Domain Expansion

Software Quality Operations Specialist, Domain Expansion

Waymo

Remote

Full-time

Posted 19 days ago

Job description

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. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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.
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) 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:
  • 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 ODD expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver
  • De-risking New Deployments: Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights. This "early intervention in RO issue detection" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like W12
  • Enabling Market Expansion: Our team is deeply integrated into every stage of Waymo's market entry framework, from initial city evaluation (OK2Plan) to scaling operations (OK2Scale). We provide the necessary data analysis, policy development, and quality assurance to unblock critical milestones, preventing slowdowns in market expansion velocity
  • 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

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 improvements in issue discovery & detection, triage efficiency, and quality assurance
  • 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. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance
  • 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 quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals
  • 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 engineering, and driving user testing to support the development and deployment of new tooling features
  • Scale workflow from 16/5 to 24/7 coordinating with external stakeholders, vendor team, and FTE team

You have:
  • 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

We prefer:
  • Experience working with offshore teams / multiple local operations hubs
  • Competency in LLM / transformer models, and / or ML for robotics domain experience
  • Basic SQL querying and PLX coding experience
  • Using 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 ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics
  • Experience assessing AV safety performance

The expected base salary range for this full-time position across US locations 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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
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.
Salary Range
$120,000-$151,000 USD

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