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Entry Level Waymo Autonomous Vehicle Jobs (NOW HIRING)

Software Engineer

Mountain View, CA · On-site +1

$240K - $259K/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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Level 3 Autonomous Vehicle Operator Location : San Francisco, CA Pay : $29.00/hour Schedule ... with Waymo, Zoox, Nuro, Cruise, Motional, NVIDIA, Tesla, Lucid, Applied Intuition, Uber ATG, or ...

Systems Integration Engineer

Mountain View, CA · Hybrid

$197K/yr

We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and ...

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Entry Level Waymo Autonomous Vehicle information

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How much do entry level waymo autonomous vehicle jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level 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 entry level Waymo autonomous vehicle jobs?

Entry level Waymo autonomous vehicle jobs typically involve supporting the development, testing, and operation of self-driving cars. These roles can include positions such as vehicle operators, test drivers, or field support associates who monitor vehicle performance, report issues, and ensure safety during autonomous driving tests. Most entry level positions require strong attention to detail, a valid driver’s license, and the ability to follow strict safety protocols. Some roles may also involve data collection or basic troubleshooting of vehicle systems. These jobs serve as a starting point for those interested in the autonomous vehicle industry and can lead to more advanced technical or engineering positions.

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

To succeed as an Entry Level Autonomous Vehicle Operator at Waymo, you typically need a valid driver’s license, a clean driving record, and attention to detail. Familiarity with onboard vehicle technology, data logging systems, and navigation tools is often required. Strong communication, reliability, and the ability to follow detailed procedures set exceptional operators apart. These skills ensure the safe operation, accurate reporting, and effective collaboration necessary in the rapidly evolving autonomous vehicle industry.

What is the difference between Entry Level Waymo Autonomous Vehicle vs Entry Level Tesla Autopilot Technician?

AspectEntry Level Waymo Autonomous VehicleEntry Level Tesla Autopilot Technician
Required CredentialsBasic technical training, possibly a driver’s licenseTechnical certification or associate degree in automotive or electronics
Work EnvironmentTesting facilities, autonomous vehicle fleet, on-road testingTesla service centers, vehicle diagnostics, on-road support
Industry UsageAutonomous vehicle development, AI testing, fleet managementAutonomous driving system maintenance, hardware/software troubleshooting

Entry Level Waymo Autonomous Vehicle roles focus on testing and developing autonomous tech in controlled environments, while Entry Level Tesla Autopilot Technicians primarily maintain and troubleshoot Tesla's driver-assist systems. Both roles require technical skills but differ in environment and specific responsibilities.

What does a typical day look like for an Entry Level Waymo Autonomous Vehicle Operator, and how do operators collaborate with engineering teams?

As an Entry Level Waymo Autonomous Vehicle Operator, your day primarily involves monitoring and safely operating autonomous vehicles during testing or data collection routes. You'll follow detailed procedures, log observations, and report anomalies or system issues through structured feedback channels. Operators work closely with engineering teams by providing real-time data and insights from the field, helping to improve software performance and vehicle safety. Collaboration often includes daily briefings, feedback sessions, and adherence to strict safety protocols, making strong communication skills essential for success in this role.
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What cities are hiring for Entry Level Waymo Autonomous Vehicle jobs? Cities with the most Entry Level Waymo Autonomous Vehicle job openings:
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What states have the most Entry Level Waymo Autonomous Vehicle jobs? States with the most job openings for Entry Level Waymo Autonomous Vehicle jobs include:
What job categories do people searching Entry Level Waymo Autonomous Vehicle jobs look for? The top searched job categories for Entry Level Waymo Autonomous Vehicle jobs are:
Infographic showing various Entry Level Waymo Autonomous Vehicle job openings in the United States as of May 2026, with employment types broken down into 10% Locum Tenens, 70% Part Time, 10% Temporary, and 10% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $49,725 per year, or $23.9 per hour.
Research Scientist, Prediction & Planning

Research Scientist, Prediction & Planning

Waymo

San Francisco, CA • Hybrid

$175K - $215K/yr

Other

Posted yesterday


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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

You will:

  • Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction
  • Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business
  • Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning
  • Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production
  • Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues

You have:

  • PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience
  • A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)
  • Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions
  • Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch
  • Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities

We prefer:

  • Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models
  • Prior industry experience (e.g. internships) in applied ML research or software development
  • Domain expertise in solving motion planning, prediction, or related robotics problems
  • Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments

#LI-Hybrid

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
$175,000—$215,000 USD