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Overnight Waymo Autonomous Vehicle Jobs (NOW HIRING)

Moove

Autonomous Vehicle Cleaner

Phoenix, AZ

Partnering with industry leaders like Waymo, we're redefining fleet management and driving the commercialization of autonomous vehicles. Our team is collaborative, positive, curious, and engaged. We ...

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Overnight Waymo Autonomous Vehicle information

What is an Overnight Waymo Autonomous Vehicle operator?

An Overnight Waymo Autonomous Vehicle operator is responsible for monitoring and supporting Waymo's self-driving vehicles during nighttime hours. These professionals may oversee vehicle performance remotely, respond to alerts or incidents, and ensure that vehicles complete their assigned routes safely and efficiently. The role typically involves working late-night or early-morning shifts, often in a control center environment, and requires attention to detail and the ability to follow safety protocols. Operators play a crucial part in the testing and deployment of autonomous vehicle technology by providing real-time feedback and support.

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

To excel as an Overnight Waymo Autonomous Vehicle Operator, candidates generally need a valid driver's license, a clean driving record, attention to detail, and the ability to follow safety protocols. Familiarity with onboard diagnostic tools, computer systems, and Waymo’s proprietary vehicle software is typically required, along with completion of specialized training. Strong problem-solving skills, effective communication, and the ability to remain focused during overnight hours are essential soft skills. These qualifications ensure the safe monitoring and reporting of autonomous vehicle performance, contributing to the reliability and advancement of Waymo’s technology.

What are the typical responsibilities and challenges faced by an Overnight Waymo Autonomous Vehicle Operator?

As an Overnight Waymo Autonomous Vehicle Operator, your primary duties include monitoring autonomous vehicles during nighttime testing, ensuring safety protocols are followed, and accurately documenting any irregularities or system messages. A common challenge is staying alert and attentive throughout long night shifts, especially when traffic is minimal. Operators also collaborate closely with engineering teams by providing feedback and insights from their shifts, which directly contributes to the improvement of self-driving technology. Strong communication skills and the ability to adapt to evolving procedures are key for success in this role.

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

AspectOvernight Waymo Autonomous VehicleAutonomous Vehicle Technician
CredentialsDriver's license, training in autonomous systemsTechnical certifications, ASE or manufacturer-specific training
Work EnvironmentIn-vehicle, on public roads, remote monitoringGarage, maintenance facilities, testing sites
Employer & IndustryWaymo, autonomous vehicle industryAuto manufacturers, tech companies, service providers

Overnight Waymo Autonomous Vehicles operate autonomously on public roads, often during night hours, focusing on safe navigation and system monitoring. Autonomous Vehicle Technicians perform maintenance, diagnostics, and repairs on autonomous systems and vehicles. While both roles require knowledge of vehicle systems, the former emphasizes remote operation and safety protocols, whereas the latter involves hands-on technical skills.

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Overnight Waymo Autonomous Vehicle jobs near you
Infographic showing various Overnight Waymo Autonomous Vehicle job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.
Program Manager, New Markets & Platforms

Program Manager, New Markets & Platforms

Waymo

Mountain View, CA • On-site

Full-time

Posted 15 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 (SWQ Ops) 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.
This role follows a hybrid work schedule and reports to a SWQ Ops Triage Program Manager Team Lead. This role will lead a team of 5 and requires prior leadership experience.
Waymo is undergoing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps plays a critical role in this expansion, making it possible to scale safely and efficiently. We are on the front lines of:
  • 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 Ojai.
  • 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 triage, data analysis, 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.
  • Data Flywheel: 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.

You will:
  • Drive outcomes for programs that span multiple orgs. Responsible for long term forecasting and resource planning.
  • Be responsible for standing up new workflows and scaling existing workflows to support new market expansions. Translate complex human operations into scaled and reliable operations, bringing key insights to customers at highest quality.
  • Communicate overall program status, risks and current priorities to stakeholders. Drive tradeoff decisions making across functions.
  • Define program / workflow KPIs and SLAs. Drive high-quality outcomes through deployments with a global vendor workforce.
  • Drive workflow transformation efforts to meet evolving business needs. Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.

You have:
  • Bachelor's degree in technical or business discipline
  • 7+ years of experience in Technical Operations, Program Management, or Quality Engineering
  • Proven ability to manage complex technical programs, including structuring project plans, identifying dependencies, and driving execution using Agile methodologies (e.g., Scrum)
  • Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring
  • Ability to thrive in a high ambiguity, dynamic environment.
  • People management experience

We prefer:
  • Undergraduate in technical degree preferred
  • MBA or graduate operations experience preferred
  • Experience within A / V space
  • Experience with Lean / Six Sigma process improvement methodologies
  • Experience working with offshore teams / multiple local operations hub

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
$159,000-$196,000 USD

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