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Waymo Engineering Jobs in California (NOW HIRING)

Waymo

Staff Software Engineer, Planner

Mountain View, CA · On-site

$251K - $310K/yr

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every ...

Waymo

Software Engineer, Multiverse

San Francisco, CA · On-site

$170K - $216K/yr

Partner with cross-functional teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals. You have: * 3+ years of ...

Waymo

Senior Software Engineer, DevAI

San Francisco, CA · On-site

$213K - $263K/yr

This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI. You will: * Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable ...

Waymo

Tech Lead Manager, Data Engineer

Mountain View, CA · On-site

$251K - $310K/yr

Define and drive the technical vision, strategy, and roadmap for the Data Engineering team, aligning with Waymo's goals. * Oversee the design, development, and operation of scalable and reliable data ...

Waymo

Systems Engineer, Perception

Mountain View, CA · On-site

$196K - $248K/yr

S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run ...

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All JobsWaymo Engineering JobsWaymo Engineering Jobs in California

Waymo Engineering information

See California salary details

$32.1K

$62.2K

$94.2K

How much do waymo engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for waymo engineering in California is $62,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by engineers working at Waymo, and how are they addressed within the team?

Engineers at Waymo often encounter complex technical challenges related to developing and refining autonomous vehicle systems, such as ensuring safety, reliability, and scalability of self-driving technology. These challenges are addressed through a collaborative, cross-functional team environment where engineers work closely with specialists in hardware, software, machine learning, and testing. Regular code reviews, simulation testing, and open communication help identify and solve issues efficiently. Additionally, Waymo encourages ongoing learning and knowledge sharing to stay at the forefront of innovation in autonomous driving.

What is the difference between Waymo Engineering vs Waymo Software Developer?

AspectWaymo EngineeringWaymo Software Developer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related field; experience in autonomous vehicle systemsBachelor's or higher in Computer Science or related field; programming skills in C++, Python
Work EnvironmentResearch and development, testing autonomous vehicle hardware and systemsSoftware development, coding, debugging, and deployment of autonomous vehicle software
Employer & Industry UsageUsed within Waymo's autonomous vehicle projects, often in cross-disciplinary teamsPrimarily within Waymo's software teams, focusing on application and system development

Waymo Engineering roles focus on hardware integration, system testing, and research in autonomous vehicle technology, while Waymo Software Developers concentrate on coding, software design, and implementation of autonomous driving systems. Both roles require technical expertise but differ in their focus areas within the autonomous vehicle industry.

What is Waymo engineering?

Waymo Engineering refers to the team and roles involved in designing, developing, and maintaining the technology behind Waymo's self-driving vehicles. Engineers at Waymo work on areas such as software development, artificial intelligence, robotics, sensor integration, and vehicle systems. Their primary goal is to create safe, reliable, and efficient autonomous driving technology by solving complex technical challenges. The engineering team collaborates across disciplines to ensure the vehicles can understand and navigate the world safely.

What are the key skills and qualifications needed to thrive as a Waymo engineer, and why are they important?

To thrive as a Waymo Engineer, you need expertise in computer science, robotics, or a related engineering field, with strong proficiency in programming languages such as C++ or Python. Familiarity with autonomous vehicle systems, machine learning frameworks, and tools like ROS or TensorFlow is typically required, along with relevant certifications or advanced degrees. Excellent problem-solving, teamwork, and communication skills help engineers innovate and collaborate effectively in multidisciplinary teams. These skills are crucial for developing safe, reliable autonomous driving technology that meets rigorous industry standards.
What are popular job titles related to Waymo Engineering jobs in California? For Waymo Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Waymo Engineering jobs in California look for? The top searched job categories for Waymo Engineering jobs in California are:
What cities in California are hiring for Waymo Engineering jobs? Cities in California with the most Waymo Engineering job openings:
Waymo Engineering jobs near you
Infographic showing various Waymo Engineering job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,152 per year, or $29.9 per hour.

Machine Learning Engineer, ML Flywheel

Waymo

Mountain View, CA • On-site

$136K - $173K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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 ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.

We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.

In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.

You will:

  • Implement new features in Waymo's data flywheel to scalably process ML data
  • Develop robust ML workflows to continuously and automatically train, evaluate, and deploy models for Waymo's onboard and offboard applications
  • Support the reliable operation of ML pipelines at scale
  • Collaborate with ML modeling teams in understanding their workflows & design automation solutions that solve their problems

You have:

  • Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience
  • Experience with distributed systems principles and experience building distributed systems for production environments.
  • Solid Python or C++ skills
  • Experience monitoring, debugging, and troubleshooting complex distributed systems
  • Experience communicating updates and resolutions to customers and other partners

We prefer:

  • Experience with ML Ops principles and best practices

#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
$136,000—$173,000 USD

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