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Waymo Openings Jobs in California (NOW HIRING)

Waymo

Staff Research Scientist, Perception

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Waymo

Senior Business Intelligence Analyst

Mountain View, CA · On-site

$168K - $207K/yr

... Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. This role follows a hybrid work schedule and you will report to the Manager of Product Data Science. You ...

Waymo

Staff Software Engineer, Planner

San Francisco, CA · On-site

$251K - $310K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Frame the open-ended real-world problems into well-defined engineering problems; develop tools ...

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Waymo Openings information

What are Waymo openings?

Waymo Openings refer to current job opportunities available at Waymo, a leading autonomous driving technology company. These openings can include roles in engineering, software development, safety operations, product management, research, and more. Waymo seeks talent passionate about self-driving technology and innovation. Job postings typically detail required qualifications, responsibilities, and benefits. Candidates can apply directly through Waymo's official careers website, where new opportunities are regularly updated.

What types of collaborative projects can employees expect to work on at Waymo?

At Waymo, employees often work on multidisciplinary teams that bring together experts in software engineering, machine learning, hardware design, product management, and operations. Projects frequently involve developing and refining autonomous driving technology, testing in simulated and real-world environments, and integrating new features to enhance safety and user experience. Collaboration is key, with regular cross-functional meetings and opportunities to contribute ideas across different stages of product development. This team-oriented environment fosters innovation and provides valuable exposure to state-of-the-art autonomous vehicle technology.

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 a solid background in computer science, robotics, or a related field, often supported by a relevant degree and experience in software development or autonomous systems. Familiarity with programming languages like Python or C++, machine learning frameworks, and simulation tools is highly valued, as are certifications in AI or autonomous vehicle technologies. Strong problem-solving, teamwork, and adaptability help engineers excel in a fast-paced, innovative environment. These skills and qualities are crucial for developing safe, reliable self-driving technology and collaborating effectively across multidisciplinary teams.

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For Waymo Openings jobs in California, the most frequently searched job titles are:

What job categories do people searching Waymo Openings jobs in California look for?

The top searched job categories for Waymo Openings jobs in California are:

What cities in California are hiring for Waymo Openings jobs?

Cities in California with the most Waymo Openings job openings:

Waymo Openings jobs near you
Infographic showing various Waymo Openings job openings in California as of August 2026, with employment types broken down into 1% Internship, 68% Full Time, 23% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Machine Learning Engineer, Prediction & Planning

Waymo

Mountain View, CA • On-site

$175K - $215K/yr

Other

This job post has expired today. 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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews.

You will:

  • Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business.
  • Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles.
  • Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements.
  • Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams.

You have:

  • BS in Computer Science, ML, Robotics, similar technical field of study
  • 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles
  • Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact
  • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
  • Proficient programming skills (eg: Python, C/C++)
  • Strong analytical and debugging skills

We prefer:

  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
  • General software engineering experience solving motion planning or related robotics problems
  • Experience applying or evaluating ML-based systems in production environments
  • Experience with performance optimization of deep models, including with respect to specific hardware architectures

#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
$175,000—$215,000 USD

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