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Waymo Via Jobs in California (NOW HIRING)

Waymo

Network Operations Manager

Mountain View, CA · On-site

$100K - $134K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Strong knowledge of configuring network devices via CLI (console/SSH) and cloud-hosted portals.

Waymo

Network Operations Manager

Mountain View, CA · On-site

$100K - $134K/yr

The Waymo Infrastructure & Network Services (WINS) team's mission is to: Provide reliable ... Strong knowledge of configuring network devices via CLI (console/SSH) and cloud-hosted portals.

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Waymo Via information

What is Waymo Via?

Waymo Via is the autonomous delivery and freight division of Waymo, Alphabet’s self-driving technology company. It focuses on using autonomous vehicles, particularly self-driving trucks and vans, to transport goods and packages efficiently and safely. Waymo Via aims to revolutionize the logistics and delivery industry by reducing costs, increasing safety, and improving delivery times through advanced autonomous driving technology.

What skills and qualifications are needed to work on Waymo Via?

To thrive as a Waymo Via Autonomous Vehicle Operator, you need a clean driving record, basic technical aptitude, and preferably a high school diploma or equivalent. Familiarity with autonomous vehicle software systems, onboard diagnostics, and safety protocols is typically required, along with specialized company training or certifications. Strong attention to detail, problem-solving abilities, and effective communication help operators excel in monitoring vehicles and reporting issues. These skills ensure the safe, efficient operation and continual improvement of autonomous delivery and freight services.

What challenges do professionals on the Waymo Via team face and how are they addressed?

Professionals on the Waymo Via team often encounter challenges related to integrating autonomous technology into complex logistics and delivery operations. This includes ensuring the safety and reliability of self-driving trucks in diverse environments, coordinating with fleet partners, and adapting to evolving regulations. These challenges are typically addressed through cross-functional collaboration with engineers, safety experts, and external partners, as well as a strong emphasis on testing, data analysis, and continuous improvement. The work environment is dynamic and fast-paced, offering opportunities for hands-on problem solving and professional growth.

What is the difference between Waymo Via vs FedEx Delivery Driver?

AspectWaymo ViaFedEx Delivery Driver
Required CredentialsDriver's license, clean driving record, possibly commercial licenseDriver's license, commercial driver's license (CDL) often preferred
Work EnvironmentAutonomous vehicle technology, urban and suburban routes, tech-focusedPackage delivery, residential and business routes, manual driving
Employer & IndustrySelf-driving technology company, logistics, transportationLogistics, courier, package delivery services

Waymo Via drivers operate autonomous vehicle technology for logistics, focusing on tech-driven delivery. FedEx delivery drivers manually deliver packages using traditional vehicles. Both roles require driving skills and licenses but differ in technology use and work environment.

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What cities in California are hiring for Waymo Via jobs?

Cities in California with the most Waymo Via job openings:

Waymo Via jobs near you
Infographic showing various Waymo Via job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Internship - 2024 Summer Intern, PhD Research Scientist, Generative AI

Waymo

Mountain View, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The World's Most Experienced Driver-to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.

The mission of the Waymo Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. Research areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

In this role, you'll:

  • Work on open-ended ML research problems for realistic simulation for the autonomous vehicle's driving environment.
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, generative modeling, reinforcement learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
  • Collaborate with other teams, including the ML infrastructure, simulation and systems engineering teams, as well as Google Brain, DeepMind and academia.
  • Get an opportunity to publish findings in academic conferences and journals, and/or externally publicize the work in public-facing blog posts.

At a minimum we'd like you to have:

  • Currently enrolled in a PhD program in Computer Science, Robotics, similar technical field of study
  • Experience solving problems using Machine Learning with Tensorflow, JAX or equivalent tools
  • Ability to collaborate within and across teams
  • Ability to independently drive a reasonably-scoped, open-ended research project
  • Strong experience programming in Python with robust and efficient code

It's preferred if you have:

  • Strong track record of high quality ML research, for example demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.
  • Experience applying machine learning to sequence modeling, behavior forecasting, simulation, or robotics
  • Experience with generative models (e.g., autoregressive models, diffusion models, GANs, VAEs, etc.)

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