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Waymo Via Jobs in California (NOW HIRING)

queueinc

Lead, Firmware Engineer

Newark, CA · On-site

$180 - $240/hr

... Waymo, and Zipline). About the Role * Lead the firmware engineering team in developing embedded ... via excellent cross‑functional communication skills * Strong understanding of the ...

Public Utilities Commission

Attorney

San Francisco, CA · On-site

$7.5K - $9.4K/mo

Virtual interviews via web portals or phone may be offered as deemed appropriate and feasible by ... Autonomous Vehicle Companies such as Waymo and Zoox * Rail and transit safety * Environmental ...

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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.

What are popular job titles related to Waymo Via jobs in California?

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

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

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

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.

Staff Systems Engineer, Hardware Architecture

Waymo

Mountain View, CA • Hybrid

Full-time

Re-posted 19 days ago

Job description

Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule and you will report to a Systems Architect

You will:

  • Lead and conduct complex, multi-attribute trade studies to define the architecture of the next-generation Waymo Driver, balancing performance, reliability, cost, and other key factors
  • Develop and analyze architectural options for the overall Self-Driving System, with a strong emphasis on safety via robust fallback systems and high reliability
  • Collaborate with and drive alignment across diverse engineering teams (Software, Hardware, Sensing, Compute, Safety, Reliability) to make holistic and informed architectural decisions
  • Define key system interfaces and behaviors, ensuring a cohesive and well-integrated system design
  • Create and present clear and compelling technical recommendations to senior leadership and stakeholders, justifying architectural choices with data and analysis
  • Work closely with systems engineering to decompose architectural decisions into clear requirements for subsystem development
  • Manage and guide architectural change across current and future SDS generations, ensuring consistency and a clear evolution path

You have:

  • A bachelor's degree in Engineering (e.g., EE, ME, CS, Aerospace) or a related technical field
  • 5+ years of experience in systems architecture, systems engineering, or complex system design, preferably in autonomous vehicles, aerospace, or robotics
  • Proven ability to lead and execute complex technical trade studies involving multiple disciplines and competing objectives
  • Strong understanding of the underlying principles for design for high availability and safety-critical applications
  • Deep understanding of autonomous system components  and their functionality in at least one major area (Sensing, Compute, Software, Networking/ interconnections, Cleaning)
  • Exceptional cross-functional communication and collaboration skills, with the ability to influence without direct authority

We prefer:

  • Experience with functional safety (ISO 26262) and SOTIF (ISO 21448)
  • Experience with Model-Based Systems Engineering (MBSE) tools and methodologies (e.g., SysML)
  • Knowledge of reliability engineering analysis techniques (e.g., FMEA, FTA, Weibull analysis)
  • Experience with performance modeling and simulation of complex systems

Apply