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Full Time Waymo Driver Jobs (NOW HIRING)

Waymo

Validation Manager (Platforms)

Mountain View, CA · On-site

$190K - $234K/yr

The Waymo Driver has provided over ten million rider-only trips, enabled by its experience ... Travel Requirements: * 15-30% The expected base salary range for this full-time position across US ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$259K/yr

The Waymo Driver has provided over ten million rider-only trips, enabled by its experience ... full-time position across US locations is listed below. Actual starting pay will be based on job ...

Waymo

Staff Data Scientist

Mountain View, CA · On-site

$238K - $302K/yr

The Waymo Driver has provided over ten million rider-only trips, enabled by its experience ... full-time position across US locations is listed below. Actual starting pay will be based on job ...

Waymo

Software Engineer, Trip Platform

Mountain View, CA · On-site

$175K - $215K/yr

The Waymo Driver has provided over ten million rider-only trips, enabled by its experience ... The expected base salary range for this full-time position across US locations is listed below.

Waymo

Software Engineer, Multiverse

San Francisco, CA · On-site

... Waymo Driver internals. You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with software engineering experience * C++ proficiency * Python familiarity * SQL ...

Waymo

Staff Data Scientist, Weather

Mountain View, CA · On-site

$251K - $310K/yr

The Waymo Driver has provided over ten million rider-only trips, enabled by its experience ... The expected base salary range for this full-time position across US locations is listed below.

Waymo

Software Engineer, Multiverse

Mountain View, CA · On-site

... Waymo Driver internals. Qualifications : Required : • 3+ years of full-time software engineering experience, or a quantitative PhD with software engineering experience • C++ proficiency • ...

Waymo

Program Manager, Risk & Insurance

Mountain View, CA · On-site

$159K - $196K/yr

The Waymo Driver has provided over ten million rider-only trips, enabled by its experience ... full-time position across US locations is listed below. Actual starting pay will be based on job ...

Waymo

Senior Software Engineer, Planner

Mountain View, CA · On-site

$213K - $263K/yr

The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a ... Building or evaluating ML-based systems The expected base salary range for this full-time position ...

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Full Time Waymo Driver information

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How much do full time waymo driver jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for full time waymo driver in the United States is $15.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.03 per hour, depending on experience, location, and employer.

What is the difference between Full Time Waymo Driver vs Part Time Waymo Driver?

AspectFull Time Waymo DriverPart Time Waymo Driver
Work HoursTypically 40+ hours per weekLess than 20 hours per week
CredentialsDriver's license, clean driving record, possibly commercial driving experienceSame as full-time, but flexibility may vary
Work EnvironmentUrban and suburban areas with autonomous vehicle operationsSame environment, with flexible scheduling
Employer UsageCompany employs drivers for continuous operationDrivers hired for supplemental or flexible shifts

Full Time Waymo Drivers work regular hours, often over 40 hours weekly, with consistent schedules. Part Time Waymo Drivers have flexible, fewer hours, suitable for those seeking supplemental income. Both roles require similar credentials and operate in the same environment, but the commitment level differs significantly.

What are the most commonly searched types of Waymo Driver jobs?

The most popular types of Waymo Driver jobs are:

What states have the most Full Time Waymo Driver jobs?

States with the most job openings for Full Time Waymo Driver jobs include:

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Full Time Waymo Driver jobs near you

Machine Learning Engineer (Infra), Driver Understanding and Evaluation

Waymo

Mountain View, CA • On-site

$170K - $216K/yr

Full-time

Re-posted 3 hours 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 DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack.
You will:
  • Build scalable systems for training and fine-tuning large-scale models to evaluate interesting driving behaviors.
  • Work at the intersection of data engineering, model development, and simulation Provide guidance on architectural decisions and technical directions. Own large, complex systems, driving architectures that meet technical and business objectives.
  • Contribute to the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles.
  • Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation, model training, and evaluation.
  • Collaborate cross-functionally to derive performance and system-level requirements for large ML systems. Translate product/business goals into measurable technical deliverables, ensuring system component alignment.

You have:
  • M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
  • 3+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
  • A history of contributions to machine learning tooling and frameworks e.g. PyTorch, Jax, Tensorflow, Ray, or similar. The candidate should understand both the user facing API and the internal workings.
  • Strong expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks.

We prefer:
  • 5+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
  • Experience in the autonomous vehicles domain, robotics, or complex simulation environments.
  • Familiarity with large-scale simulation platforms and their integration with ML training workflows.

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
$170,000-$216,000 USD

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