Waymo

Builds self-driving AI and runs a robotaxi service

Diagnostics Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours

Full-timeMountain View, CA, USA

About the Job

Requirements

A Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science and Engineering, or a related field.
At least 3 years of experience working adjacent to or developing diagnostics in automotive, aerospace, or consumer electronics.
Hands-on experience working directly with deployed hardware and software systems, ideally in a fast-paced automotive or technology environment.
Broad knowledge across electrical engineering, computer engineering, computer science, or mechanical engineering, with the ability to quickly learn new topics.
Working knowledge of an object-oriented programming language such as C++ or Python.
Demonstrated experience driving diagnostics development for a module, system, or program.

Responsibilities

Architect and implement robust diagnostics infrastructure, tooling, and processes to improve troubleshooting efficiency for self-driving and base vehicle systems.
Collaborate with subject matter experts on sensing, compute, actuator, and support systems, guiding and supporting them through diagnostics design and improvement.
Lead analysis of subsystem diagnostics gaps and needs to inform future diagnostics investment.
Evolve Waymo’s Diagnostics strategy through technical and organizational leadership.

Desired Qualifications

A high-level understanding of self-driving vehicle systems, including sensors, compute, wiring, power, vehicle actuators, chassis communication, and controls, with mastery of one or more areas.
Automotive-specific diagnostics experience, preferably with both traditional J1979 OBD-II-style diagnostics and modern strategies for software-defined, cloud-connected vehicles.
Familiarity with modern passenger vehicle control systems.
Ability to interact with technical and nontechnical teams to solve technical problems.

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.

Hardware Engineering is an 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 reports to the Manager of Integration Engineering

You will:

Architect and implement robust diagnostics infrastructure, tooling and processes to improve the efficiency of troubleshooting self-driving and base vehicle systems
Collaborate with subject matter experts on sensing, compute, actuator, and support systems, guiding and supporting them through diagnostics design and improvement
Lead analysis of sub-system diagnostics gaps and needs, informing future diagnostics investment
Evolve Waymo’s Diagnostics strategy through technical and organizational leadership

You have:

A Bachelors or Masters in EE/ME/CE/CSE or related field
3+ years experience working adjacent to or developing diagnostics in automotive, aerospace, or consumer electronics
Hands-on experience working directly with deployed systems (HW and SW), ideally in a fast-paced automotive or tech environment
Wide breadth of knowledge in the EE/CE/CS/Mech realm, and can spin up on a new topic very quickly
Working knowledge of an object-oriented programming language (C++, Python, etc.)
Demonstrated experience driving diagnostics development for a module, system, or program

We prefer:

High level understanding of various self driving vehicle systems (sensors, compute, wiring, power, vehicle actuators, chassis communication, controls, etc.), and mastery of one/some
Automotive-specific diagnostics experience, preferably both traditional J1979 OBII-style and modern strategies for SW-defined cloud connected vehicles
Familiar with modern passenger vehicle control systems
Ability to interact with both technical and nontechnical teams to solve technical problems

Travel requirements 10% :

Onsite visits to service centers and manufacturing facilities

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

$159,000—$196,000 USD

Salary Range 159000 - 196000 USD

About the Company

Waymo

Builds self-driving AI and runs a robotaxi service

Waymo builds self-driving technology and uses it to run a ride-hailing service in which passengers summon electric cars with no one behind the wheel. In 2020, it became the first company to open fully driverless rides to the public, starting in metro Phoenix. Its system, the Waymo Driver, pairs cameras, radar and laser sensors called lidar with onboard computers whose AI predicts what nearby people and vehicles will do and drives the car. Riders pay per trip through the Waymo app, or through Uber in some cities, while Waymo and fleet partners keep the cars charged and maintained. Waymo began as a Google project in 2009 and became a separate Alphabet company in 2016; it is based in Mountain View, California.

Company size: 1,001-5,000
Company stage: Debt Financing
Total funding: $32.1B
Headquarters: Mountain View, CA
Founded: 2009

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