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HomeCompaniesWaymoSenior Software Engineer, Fleet Response Training

Senior Software Engineer, Fleet Response Training

Waymo · Mountain View, CA, USA ; San Francisco, CA, USA ; Remote · Remote · Active · $213,000–$263,000 / year · Greenhouse

Job facts

FieldValue
CompanyWaymo
TitleSenior Software Engineer, Fleet Response Training
Normalized title-
Department / teamCSI (7LV)
LocationMountain View, CA, United States
Work modelRemote / Remote
Employment type-
Salary$213,000–$263,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-03 / 2026-06-04
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Waymo.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Mountain View.Open
Department jobsActive postings in CSI (7LV).Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWaymo
Source44b26b6c-8dfd-437f-a75f-2aba3142363b
ATS providerGreenhouse

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 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. These operators participate in rigorous and extensive training programs before they begin working with real cars, and routinely undergo refresher training during their tenure. Peak human performance requires world-class training, and world-class training requires world-class training systems. This role will be responsible for working with the operations team to build out a comprehensive training suite that enables FROs to do their best work assisting Waymo’s cars and riders. You will: Work with operations leads to understand their continuously evolving training needs Design and build training systems that cover every aspect of an FRO’s role Leverage Waymo’s simulation platforms to create realistic training environments Build out QA and performance measurement pipelines to track the success of training modules Work closely with our users, the Fleet Response Operations team Have the opportunity to work on the full length and breadth of the problem (web apps, distributed systems, data analysis, etc) You have: Bachelor’s degree in Computer Science or similar technical field of study 5+ years of industry experience with modern web frameworks A generalist mindset, willing to learn a breadth of new skills Significant experience with both frontend and backend systems Enjoyment from working closely with your users We prefer: Experience bringing technical and non-technical groups together Professional experience reading and writing great typescript code Experience with C++, Java, or related structured programming language Full-stack engineers who can confidently touch every part of a system An investigative mindset Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process. 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

Full job record

Job ID8b9bf00383437426f5bc2ce9eecddb3669cd4532
Org ID3fcf3bd1-54bc-4952-918e-d9d9f3354837
Source ID44b26b6c-8dfd-437f-a75f-2aba3142363b
Board ID44b26b6c-8dfd-437f-a75f-2aba3142363b
Providergreenhouse
Provider Job Key7977824
TitleSenior Software Engineer, Fleet Response Training
Normalized Title
Statusactive
Activeyes
Location TextMountain View, CA, USA ; San Francisco, CA, USA ; Remote
DepartmentCSI (7LV)
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CityMountain View
Salary RawSalary Range $213,000 — $263,000 USD
Salary Min213,000
Salary Max263,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://careers.withwaymo.com/jobs?gh_jid=7977824
Apply URLhttps://careers.withwaymo.com/jobs?gh_jid=7977824
First Seen At2026-06-04 11:11:39Z
Last Seen At2026-06-06 20:03:15Z
Last Checked At2026-06-06 20:03:15Z
Last Changed At2026-06-06 07:32:55Z
Inactive At
Source Posted At2026-06-03 21:49:24Z
Source Updated At2026-06-04 18:47:38Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=waymo/date=2026-06-06/2026-06-06T20-03-14-482Z-9ae82cf0fe9f70799413abab7bb6e36d8ef075138c44691cb24f99899f7f0674.json
Event Fields
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Parsed Structured
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  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "first_published": "2026-06-03T17:49:24-04:00",
  "application_deadline": null
}
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