ZipRecruiter

Log In

2

Entry Level Waymo Autonomous Vehicle Jobs (NOW HIRING)

Transdev

Site Autonomous Vehicle Care - TAS

Phoenix, AZ · On-site

$20 - $23/hr

This is an entry level position that will familiarize the employee with aspects of Autonomous Vehicles Operations. They are responsible for daily cleanliness maintenance of the vehicle's exterior ...

Waymo

Proving Ground Site Lead

Phoenix, AZ · On-site

$230K - $284K/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 ...

Waymo

Systems Test Engineer, Sensing

Mountain View, CA · On-site

$196K - $242K/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 ...

next page

Showing results 1-20

All JobsEntry Level Waymo Autonomous Vehicle Jobs

Entry Level Waymo Autonomous Vehicle information

See salary details

$13

$23

$31

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

As of Jun 29, 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.
What cities are hiring for Entry Level Waymo Autonomous Vehicle jobs? Cities with the most Entry Level 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 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:
Entry Level Waymo Autonomous Vehicle jobs near you
Infographic showing various Entry Level Waymo Autonomous Vehicle job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 4% As Needed, 1% Full Time, 4% Temporary, 83% Contract, and 4% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,725 per year, or $23.9 per hour.
Senior Research Scientist, Perception

Senior Research Scientist, Perception

Waymo

Mountain View, CA • On-site

$213K - $263K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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 mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role follows a hybrid work schedule and reports to a Principal Research Scientist.
You will:
  • Research & Develop state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor information from Camera, LiDAR and Radar.
  • Integrate emerging research from the broader AI community into Waymo's Encoders and Sensor understanding models
  • Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources.
  • Design and implement evaluation frameworks for perception models.
  • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
  • Design and implement Perception Modeling solutions to understand LiDAR/Camera/Radar information from autonomous vehicle sensors.
  • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical reports and/or publications.

You have:
  • PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with 2+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models.
  • Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.
  • Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches.
  • A willingness to work with complexity of globally distributed inference infrastructure.

We prefer:
  • PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning.
  • Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences.
  • A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects
  • Substantial involvement in and contributions to high impact industry AI projects.
  • Experience in generative models for domains such as world models, images, videos, 3D, using techniques such as diffusion or autoregressive models.

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
$213,000-$263,000 USD

Apply