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Google Self Driving Car Project Jobs (NOW HIRING)

Waymo

Regulatory Counsel

Washington, DC · On-site

$251K - $310K/yr

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 ...

Waymo

Senior Android Engineer

Mountain View, CA · On-site

$175K - $215K/yr

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 ...

Waymo

Senior Counsel - Commercial Legal

Mountain View, CA · On-site

$251K - $310K/yr

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 ...

Waymo

Technical Recruiter (AI + ML)

Mountain View, CA · On-site

$200K - $247K/yr

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 ...

Waymo

Systems Integration Engineer

Mountain View, CA · On-site

$159K - $196K/yr

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 ...

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Google Self Driving Car Project information

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How much do google self driving car project jobs pay per year?

As of Aug 14, 2026, the average yearly pay for google self driving car project in the United States is $112,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Self Driving Car engineer, and why are they important?

To excel as a Google Self-Driving Car Engineer, you need expertise in software engineering, robotics, computer vision, and machine learning, often supported by a degree in computer science, robotics, or a related field. Familiarity with programming languages like C++ and Python, experience with ROS (Robot Operating System), and knowledge of automotive sensors and simulation tools are commonly required. Strong problem-solving abilities, teamwork, and effective communication are vital soft skills for collaborating in diverse, multidisciplinary teams. These skills and qualities are crucial for developing reliable autonomous vehicle systems that meet high standards of safety and performance.

What are the most common challenges faced by engineers working on the Google Self Driving Car Project?

Engineers on the Google Self Driving Car Project often encounter challenges related to real-time sensor data processing, ensuring robust safety protocols, and adapting to constantly changing urban environments. Collaboration is key, as team members must work closely with experts in machine learning, hardware, and software integration to create reliable autonomous driving systems. Additionally, engineers must stay updated with regulatory requirements and industry standards, making flexibility and continuous learning essential for success in this fast-paced environment.

What is the Google Self Driving Car Project?

The Google Self Driving Car Project, now known as Waymo, is an initiative by Google to develop autonomous vehicles that can drive themselves without human intervention. The project began in 2009 with the goal of making roads safer and transportation more accessible by using advanced sensors, machine learning, and artificial intelligence. Waymo has since tested its self-driving technology on public roads and has launched limited autonomous ride-hailing services in select cities. The technology aims to revolutionize transportation by reducing accidents, improving mobility, and eventually making fully autonomous vehicles available to the public.
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Google Self Driving Car Project jobs near you
Infographic showing various Google Self Driving Car Project job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $112,486 per year, or $54.1 per hour.

Senior/Staff Machine Learning Engineer, Simulation Realism

Waymo

Mountain View, CA • On-site

$251K - $310K/yr

Full-time

Re-posted 18 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.
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 Simulation Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.
A key aspect of our simulation effort is the generation of foundational data that enables realistic simulation and trustworthy evaluations. This involves producing high-fidelity world representations from complex, large-scale multi-modal sensor datasets. Key challenges we tackle include guaranteeing the highest levels of quality and accuracy in these datasets. We are also constantly innovating to build scalable and efficient systems to manage the sheer volume and intricacy of this data.
In this hybrid role, you will report to a Sr Staff TLM.
You will:
  • Apply ML expertise to enhance the quality and accuracy of labeled data derived from multi-modal sensors.
  • Develop and implement models to identify and correct issues in perception-based data for simulation.
  • Analyze data quality, investigate anomalies, and drive improvements in our data labeling pipelines.
  • Collaborate with perception and simulation teams to refine data requirements and quality standards.
  • Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation.

You have:
  • MS or BS in Computer Science or a related field.
  • 5+ (L5) / 7+ (L6) years of experience in applied Deep Learning/Machine Learning.
  • Strong background in computer vision, sensor fusion, or perception.
  • Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience with data analysis and quality assessment.
  • Strong coding and design skills.

We prefer:
  • PhD degree in Computer Science or a similar discipline.
  • Experience with autonomous vehicle sensor data.
  • Familiarity with data labeling processes and challenges.
  • Experience taking ML models from research to production.

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
$251,000-$310,000 USD

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