ZipRecruiter

Log In

2

Remote Waymo Autonomous Vehicle Jobs (NOW HIRING)

Waymo

Program Manager, Mapping Operations

Mountain View, CA · On-site +1

$51.45 - $62.99/hr

... powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Systems Integration Engineer

Mountain View, CA · On-site +1

$159K - $196K/yr

... powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Staff Homologation Engineer

Novi, MI · On-site +1

$230K - $284K/yr

... powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Software Engineer, Sensor/Imaging

Mountain View, CA · On-site +1

$204K - $259K/yr

... powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Staff Homologation Engineer

Mountain View, CA · On-site +1

$230K - $284K/yr

... powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Software Quality Operations Specialist

... grow Waymo's autonomous vehicle service. Waymo is experiencing unprecedented growth, rapidly ... Holidays: 13 paid days per year (Remote jobs only - Please note that Waymo may not be able to ...

Waymo

Software Engineer, Sensor/Imaging

San Francisco, CA · On-site +1

$204K - $259K/yr

... powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

next page

Showing results 1-20

People also search for

All JobsRemote Waymo Autonomous Vehicle Jobs

Remote Waymo Autonomous Vehicle information

See salary details

$5

$22

$62

How much do remote waymo autonomous vehicle jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote waymo autonomous vehicle in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $24.76 per hour, depending on experience, location, and employer.

What are Remote Waymo Autonomous Vehicle operators?

Remote Waymo Autonomous Vehicle operators are professionals who monitor and support Waymo's self-driving vehicles from a remote location. They assist autonomous vehicles by providing guidance during complex situations, ensuring safety, and helping resolve issues that the vehicle's software cannot handle independently. These operators do not physically drive the vehicles but play a crucial role in maintaining safe and efficient autonomous operations. Their responsibilities also include reporting incidents, monitoring vehicle performance, and communicating with on-the-ground support teams.

What is the difference between Remote Waymo Autonomous Vehicle vs Remote Autonomous Vehicle Technician?

AspectRemote Waymo Autonomous VehicleRemote Autonomous Vehicle Technician
CredentialsEngineering degree, specialized in AI, robotics, or software developmentTechnical certifications, vehicle maintenance, and repair training
Work EnvironmentSoftware development centers, remote monitoring systems, and data analysis platformsRemote diagnostics, troubleshooting, and vehicle system checks
Industry UsageDeveloping and managing autonomous vehicle software and systemsMaintaining and repairing autonomous vehicle hardware and software

The Remote Waymo Autonomous Vehicle role focuses on software development and system management, while the Remote Autonomous Vehicle Technician emphasizes hardware maintenance and troubleshooting. Both roles are essential in the autonomous vehicle industry but differ in credentials, work environment, and job functions.

What are some common challenges faced by remote operators of Waymo autonomous vehicles, and how can they be addressed?

Remote operators of Waymo autonomous vehicles often encounter challenges such as maintaining constant situational awareness, managing multiple vehicles simultaneously, and responding quickly to unexpected events. Effective communication with on-site teams and robust training in Waymo's proprietary systems are critical for success. Staying organized and up-to-date on the latest procedural updates helps remote operators make informed decisions, ensuring vehicle safety and efficient operation.

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

To thrive as a Remote Waymo Autonomous Vehicle Operator, you need a strong understanding of vehicle operations, situational awareness, and typically a clean driving record and high school diploma or equivalent. Familiarity with remote monitoring software, GPS systems, and Waymo's proprietary platforms is essential. Attention to detail, problem-solving ability, and clear communication are critical soft skills for ensuring vehicle safety and responding quickly to unusual situations. These skills and qualifications are vital to maintain safety, efficiency, and reliability in the oversight and support of autonomous vehicle operations.
More about Remote Waymo Autonomous Vehicle jobs
What cities are hiring for Remote Waymo Autonomous Vehicle jobs? Cities with the most Remote Waymo Autonomous Vehicle job openings:
What are the most commonly searched types of Waymo Autonomous Vehicle jobs? The most popular types of Waymo Autonomous Vehicle jobs are:
What states have the most Remote Waymo Autonomous Vehicle jobs? States with the most job openings for Remote Waymo Autonomous Vehicle jobs include:
What job categories do people searching Remote Waymo Autonomous Vehicle jobs look for? The top searched job categories for Remote Waymo Autonomous Vehicle jobs are:
Remote Waymo Autonomous Vehicle jobs near you
Infographic showing various Remote Waymo Autonomous Vehicle job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,227 per year, or $22.2 per hour.
Software Quality Operations Specialist, Domain Expansion

Software Quality Operations Specialist, Domain Expansion

Waymo

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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 Driverâ„¢-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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

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

Apply