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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 thousands ...

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 ...

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

As of Jul 19, 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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Staff Software Engineer - Simulation Realism

Staff Software Engineer - Simulation Realism

Waymo

Mountain View, CA • On-site

$251K - $310K/yr

Full-time

Posted 20 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 Simulator 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. We face significant challenges in ensuring the quality and accuracy of these signals, and in engineering robust, scalable systems for handling massive data volumes. This includes designing and implementing effective data lifecycle management strategies to maintain data integrity and accessibility.
In this hybrid role, you will report to a Sr Staff TLM.
You will:
  • Design and develop scalable C++ and Python software systems for our data generation and management platform.
  • Build and optimize data pipelines for processing, labeling, and curating large-scale multi-modal sensor data.
  • Implement robust data lifecycle management, versioning, and storage solutions.
  • Improve the performance, reliability, and scalability of the data platform.
  • Collaborate with engineers and researchers to define and build data APIs and interfaces.
  • Contribute to the long-term architecture of the simulation data ecosystem.

You have:
  • BS or MS in Computer Engineering, Computer Science, or equivalent.
  • 7+ years of experience in software development, focusing on backend or infrastructure.
  • Strong coding and design skills in C++ and/or Python.
  • Experience with large-scale data processing systems (e.g., Flume, Beam, Spark).
  • Experience with databases, data warehousing, and production monitoring.
  • Ability to solve open-ended technical and system design challenges.

We prefer:
  • Experience building data platforms, data lakes, or ML feature stores.
  • Familiarity with data management best practices for ML.
  • Experience with large-scale multi-modal data.
  • Experience developing user-facing APIs and interfaces.

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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