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HomeCompaniesZooxSenior/Staff Software Engineer - Planner Frameworks Pipeline

Senior/Staff Software Engineer - Planner Frameworks Pipeline

Zoox · Foster City, CA · Hybrid · Active · $219,000–$315,000 / year · Lever

Job facts

FieldValue
CompanyZoox
TitleSenior/Staff Software Engineer - Planner Frameworks Pipeline
Normalized title-
Department / teamSoftware / Autonomy Software
LocationFoster City, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$219,000–$315,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-06-16 / 2026-06-19
Changed / last seen2026-06-19 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Zoox.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Foster City.Open
Department jobsActive postings in Software.Open
Work model jobsActive Hybrid 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

CompanyZoox
Source45f1a12e-419b-4b96-93be-f479c9356a1b
ATS providerLever

Description

Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 8+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective Background in algorithmic optimization or performance investigation Experience with Ray.io, particularly Ray Core and Ray Data

Full job record

Job ID2eb5489c342d863414f319dc700224f9a24d5984
Org ID518be277-8ec5-4735-b0ad-193a2bc397c7
Source ID45f1a12e-419b-4b96-93be-f479c9356a1b
Board ID45f1a12e-419b-4b96-93be-f479c9356a1b
Providerlever
Provider Job Key4cf378f6-fab9-4bdb-a349-4ae70c099b8e
TitleSenior/Staff Software Engineer - Planner Frameworks Pipeline
Normalized Title
Statusactive
Activeyes
Location TextFoster City, CA
DepartmentSoftware
TeamAutonomy Software
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CityFoster City
Salary RawUSD 219000-315000 per-year-salary
Salary Min219,000
Salary Max315,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/zoox/4cf378f6-fab9-4bdb-a349-4ae70c099b8e
Apply URLhttps://jobs.lever.co/zoox/4cf378f6-fab9-4bdb-a349-4ae70c099b8e/apply
First Seen At2026-06-19 07:55:43Z
Last Seen At2026-06-23 07:56:06Z
Last Checked At2026-06-23 07:56:06Z
Last Changed At2026-06-19 07:55:43Z
Inactive At
Source Posted At2026-06-16 19:07:59Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zoox/date=2026-06-23/2026-06-23T07-56-05-149Z-2a03f15479442a97ea6e0f62f95bcfc7f62480c04b71ada54e18d4d906a372b2.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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