Six Figure Work

Senior Software Engineer, Fleet Response Infrastructure

Waymo

Company websitewaymo.com (Waymo, opens in new tab)

Base salary $213K  to $263K

Employer-published annual base salary, USD. Advertised base range in Mountain View, CA

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  • LocationMountain View, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

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 Fleet Response team's mission is to accelerate the safe deployment of Waymo's autonomous technology. Fleet Response operates at the cutting edge of our autonomous driving operations. In certain highly ambiguous or complex situations, the Waymo Driver can request the assistance of human Fleet Response Operators (FROs) to provide extra context and information. Those operators use a web application to receive real-time video, audio, and other telemetry from the vehicle and provide guidance back to the Driver.

We are seeking a passionate engineer to develop Fleet Response’s mission-critical full-stack systems that make this real-time collaboration possible. You will work with a team of talented engineers to deliver reliable, globally-available, low-latency visualization and interaction — with a direct impact on Waymo’s autonomous fleet every single day.

You will:

  • Contribute to the end-to-end reliability and performance of mission-critical web applications used for real-time autonomous vehicle support.
  • Work on frontend and backend infrastructure, including robust APIs and seamless integration with upstream and downstream services.
  • Ensure the Fleet Response platform scales effectively to meet Waymo’s reliability, performance, and functionality requirements.
  • Advise and guide cross-functional engineers across Fleet Response and broader Waymo teams to ensure optimal utilization of web application systems
  • Partner closely with Waymo SRE to drive global scalability and maintain the high availability of mission-critical, real-time platforms.

You have:

  • Bachelor’s degree in Computer Science or similar technical field of study
  • 4+ years of industry experience with web applications (frontend and backend).
  • Familiarity with web client architectures (Angular, TypeScript, RxJS, etc).
  • Enjoyment from working closely with your users.
  • A strong intrinsic motivation for reliability.

We prefer:

  • Experience bringing technical and non-technical groups together.
  • Experience with C++.
  • Experience building high-reliability distributed systems or RPC services.
  • An investigative mindset.
  • A track record of successful partnerships with SRE.

#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

$213,000—$263,000 USD

Source: Waymo on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($213,000) is above 77% of the 4,313 Software Engineering roles in California listed on this site; 29 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $203,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Waymo roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Waymo roles with the nearest advertised base floor
RolePublished base
Senior Software Engineer, Fleet Response Infrastructure (this listing)$213K - $263K
Research Scientist, World Model Post-Training$213K - $263K
Senior Data Scientist, Simulation Capacity Optimization$213K - $263K
Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML$213K - $263K
Research Scientist, Map Scalability$213K - $263K
Senior Machine Learning Engineer, Scenes, Traffic Controls$213K - $263K
Senior Software Engineer, Chassis$213K - $263K

Same $100K to $400K scale as every card. All Waymo roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-07-22
Where this pay comes from

Location as the employer wrote it: Mountain View, California, United States of America

$213,000—$263,000 USD

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.