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Google Self Driving Car Project Jobs (NOW HIRING)

Waymo

Analysis Infra SWE

Mountain View, CA · On-site

$204K - $259K/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 Security Engineer

Mountain View, CA · On-site

$204K - $259K/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

Staff Software Engineer, Planner

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

Senior Program Manager, Expansion

Mountain View, CA · On-site

$190K - $234K/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 20, 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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Machine Learning Engineer, Model Optimization

Machine Learning Engineer, Model Optimization

Waymo

Mountain View, CA • On-site

$170K - $216K/yr

Full-time

Re-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 Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.
In this hybrid role you will report to a Technical Lead Manager.
You will:
  • Optimize FLOPs utilization in model training and model inference through model architecture/ hardware co-development, optimize for a naturally sparse representation (most spatial-temporal information in self-driving is sparse).
  • Optimize model inference for different onboard and offboard (simulation) platforms.
  • Analyze and optimize real-time inference of complex model architectures with many model components as well as on the critical path within an onboard system.

You have:
  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 3+ years experience in Machine Learning and/or Computer Vision
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We prefer:
  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++

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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