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HomeCompaniesWaymoOnboard Developer Platform Software Engineer

Onboard Developer Platform Software Engineer

Waymo · Mountain View, CA, USA · Remote · Active · $170,000–$216,000 / year · Greenhouse

Job facts

FieldValue
CompanyWaymo
TitleOnboard Developer Platform Software Engineer
Normalized title-
Department / teamSys Intel and Machine Lrng (SQT)
LocationMountain View, CA, United States
Work modelRemote / Remote
Employment type-
Salary$170,000–$216,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-12-15 / 2026-05-29
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 Sys Intel and Machine Lrng (SQT).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. Waymo is in the process of hyper-scaling. We must enhance developer productivity of onboard engineers to enable the entire organization to quickly scale and address emerging challenges. The goal of this team is to build the infrastructure, architecture, tooling, and platform necessary to accelerate development by identifying and addressing the critical needs and bottlenecks faced by onboard engineers. In this hybrid role you will report to a Staff Software Engineer / Tech Lead Manager. You will: Develop reliable, scalable, and maintainable systems to meet user needs, including accelerating large-scale simulation and eval, reinforcement learning-based fine-tuning pipeline, and analysis. Evolve and scale up the simulation and evaluation platform to accelerate the "inner loop" of software development by 10X for onboard engineers (500+). Develop the ADV's modular architecture and frameworks to achieve low latency, high reproducibility and realism when simulating in our data centers, while maintaining high performance for on-car driving. Optimize system resource usage to simulation at scale in Cloud datacenters: minimizing CPU utilization and latency, minimizing RAM consumption, intelligently determining which computations should happen on CPU, GPU, and TPU. Collaborate to resolve compute performance bottlenecks throughout the ADV, simulator and analysis software stacks, ensuring end-to-end low latency for simulation and analysis. Develop necessary high scale performance evaluation, debugging and software change management processes. You have: BS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience) 3 years of experience as a Software Engineer or similar roles 3 years of experience in C++ 2 years of experience working on a large-scale/high complexity system (supported by hundreds of engineers) 2 years of experience working on infrastructure work: building performant, easy to use, scalable systems and tools. We prefer: 2 years in infrastructure/systems/performance domain optimizing end-to-end system for high performance 2 years of experience optimizing software systems using profile guided techniques Experience in large-scale evaluation techniques Experience in large-scale software re-architecture projects Experience in ML pipelines and workflows #LI-Hyrbid 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 $170,000 — $216,000 USD

Full job record

Job ID30144fa0e3d42115a6fe9a5aeca9a380fd38f874
Org ID3fcf3bd1-54bc-4952-918e-d9d9f3354837
Source ID44b26b6c-8dfd-437f-a75f-2aba3142363b
Board ID44b26b6c-8dfd-437f-a75f-2aba3142363b
Providergreenhouse
Provider Job Key7461052
TitleOnboard Developer Platform Software Engineer
Normalized Title
Statusactive
Activeyes
Location TextMountain View, CA, USA
DepartmentSys Intel and Machine Lrng (SQT)
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CityMountain View
Salary RawSalary Range $170,000 — $216,000 USD
Salary Min170,000
Salary Max216,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://careers.withwaymo.com/jobs?gh_jid=7461052
Apply URLhttps://careers.withwaymo.com/jobs?gh_jid=7461052
First Seen At2026-05-29 22:40:52Z
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 At2025-12-15 21:24:08Z
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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Extensions
{}
Native Structured
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}
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