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Night Shift Waymo Autonomous Vehicle Jobs (NOW HIRING)

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 ...

Autonomous Vehicle Operator

Miami, FL · On-site

$20.75 - $26/hr

Royalty Staffing is currently hiring Autonomous Vehicle Operators in Miami for our client who is a ... Day Shift: 6:45AM-3:15PM or 7:45am-4:15pm Night Shift: 2:45pm-11:15pm or 3:45pm-12:15am Days:

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Night Shift Waymo Autonomous Vehicle information

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How much do night shift waymo autonomous vehicle jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for night shift waymo autonomous vehicle in the United States is $23.91, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $26.20 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a night shift Waymo autonomous vehicle operator?

To excel as a Night Shift Waymo Autonomous Vehicle Operator, you need a clean driving record, attention to detail, and a high school diploma or equivalent. Familiarity with Waymo’s proprietary monitoring systems, onboard diagnostics, and logging tools is typically required, and some roles may prefer candidates with advanced driver-assistance system (ADAS) training or safety certifications. Strong communication, reliability, and the ability to stay alert during overnight hours are essential soft skills. These competencies ensure the safe and efficient operation of autonomous vehicles, accurate reporting, and effective response to unexpected situations during off-peak hours.

What are some common challenges faced by night shift Waymo autonomous vehicle operators, and how can they be addressed?

Night shift operators of Waymo autonomous vehicles often encounter unique challenges, such as reduced visibility on the roads, increased likelihood of encountering fatigued or impaired drivers, and adapting to a quieter but sometimes less predictable traffic environment. Staying alert throughout the shift and maintaining effective communication with remote support teams is crucial. Operators are encouraged to follow established protocols for monitoring the vehicle’s performance, promptly reporting any irregularities, and taking scheduled breaks to manage fatigue. Building familiarity with the vehicle’s systems and local nighttime traffic patterns can also enhance safety and performance.

What is a night shift Waymo autonomous vehicle operator?

Night Shift Waymo Autonomous Vehicle Operators are professionals responsible for overseeing and monitoring Waymo's self-driving vehicles during nighttime hours. Their primary duties include ensuring the safety of the vehicle, intervening when necessary, reporting incidents, and providing feedback to improve autonomous driving technology. These operators often work overnight shifts to support testing or ride services that operate beyond typical daytime hours. The role requires attention to detail, adherence to safety protocols, and the ability to respond calmly in unexpected situations.

What is the difference between Night Shift Waymo Autonomous Vehicle vs Night Shift Autonomous Vehicle Technician?

AspectNight Shift Waymo Autonomous VehicleNight Shift Autonomous Vehicle Technician
CredentialsDriver's license, knowledge of autonomous systemsTechnical certifications, ASE or equivalent
Work EnvironmentOperating autonomous vehicles in urban/suburban areasMaintaining and repairing autonomous vehicle hardware and software
Employer & IndustryWaymo, autonomous vehicle industryAuto service centers, autonomous vehicle companies

Night Shift Waymo Autonomous Vehicles focus on operating and monitoring self-driving cars during night hours, ensuring safe navigation. In contrast, Night Shift Autonomous Vehicle Technicians perform maintenance and repairs on autonomous vehicle systems. Both roles require technical knowledge, but the former emphasizes driving and system oversight, while the latter centers on technical repairs and diagnostics.

What cities are hiring for Night Shift Waymo Autonomous Vehicle jobs? Cities with the most Night Shift Waymo Autonomous Vehicle job openings:
What states have the most Night Shift Waymo Autonomous Vehicle jobs? States with the most job openings for Night Shift Waymo Autonomous Vehicle jobs include:
What job categories do people searching Night Shift Waymo Autonomous Vehicle jobs look for? The top searched job categories for Night Shift Waymo Autonomous Vehicle jobs are:
Infographic showing various Night Shift Waymo Autonomous Vehicle job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, 5% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $49,725 per year, or $23.9 per hour.

Software Quality Operations Specialist, Domain Expansion

Waymo

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 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

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

((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))
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