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HomeCompaniesZooxSenior Staff / Principal AI & Compute Architect

Senior Staff / Principal AI & Compute Architect

Zoox · Foster City, CA · Hybrid · Active · $287,000–$410,000 / year · Lever

Job facts

FieldValue
CompanyZoox
TitleSenior Staff / Principal AI & Compute Architect
Normalized title-
Department / teamAdvanced Hardware Engineering / Electrical Engineering
LocationFoster City, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$287,000–$410,000 / year
Statusactive
ATS providerLever
Posted / first seen2025-06-11 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-21

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 Advanced Hardware Engineering.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's Advanced Hardware Engineering team is responsible for the design, development, and innovation of sensor technology, networking, and the main compute platform for our vehicles. In this role, you will work within a multi-disciplinary engineering team to architect our next-generation compute platforms, both on-vehicle and in-cloud.  You will leverage your industry experience and analytical mindset to ensure Zoox remains at the leading edge of autonomous driving through careful balancing of hardware ranging from off-the-shelf to full-custom silicon. This is a hands-on role that will directly interface with top executives and practitioners alike, and will shape the future of Zoox to ensure our competitive success. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. In this role, you will: Provide engineering leadership for high-performance Compute modules Architect next-generation compute systems and define the technical roadmap at the system and silicon level Work extensively with cross-functional teams (software, mechanical, vehicle-integration, data-flow architects) to ensure product success. This will include frequent executive-level presentations. Drive teams to consensus in an environment of passionate stakeholders Demonstrate technical ownership and leadership of your program from concept through to fleet deployment Able to support assessment and optimization our training platforms Qualifications BS or MS in electrical/computer engineering or equivalent 15+ years of professional work experience Solid compute engineering fundamentals Deep understanding of optimizing hardware to support AI/ML software Track record of successful complex product delivery Experience in computer system architecture design and optimization Passion for problem-solving (both technical and organizational) Experience with CM, ODM, and JDM models, as well as working with silicon vendors Bonus Qualifications Experience optimizing cloud (AWS) resources for model training Experience managing engineering teams or mentoring junior engineers Experience in functional safety/ISO 26262/FMEA Experience in automotive/EV/AV/aerospace/space or similar industries Experience in software/automation development Hands-on lab experience, such as soldering, and experience with lab equipment (power supplies, signal generators, oscilloscopes, spectrum analyzer) Familiarity with common industry technologies and protocols, including GPUs, CAN, Ethernet, GNSS, GMSL, NVMe, M.2, PCIe, optical networking, Linux, QNX

Full job record

Job IDf595c92738786ff25533a050e0678eab3683a4ab
Org ID518be277-8ec5-4735-b0ad-193a2bc397c7
Source ID45f1a12e-419b-4b96-93be-f479c9356a1b
Board ID45f1a12e-419b-4b96-93be-f479c9356a1b
Providerlever
Provider Job Key789865f1-f929-4905-86e1-c82ed23c5db8
TitleSenior Staff / Principal AI & Compute Architect
Normalized Title
Statusactive
Activeyes
Location TextFoster City, CA
DepartmentAdvanced Hardware Engineering
TeamElectrical Engineering
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CityFoster City
Salary RawUSD 287000-410000 per-year-salary
Salary Min287,000
Salary Max410,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/zoox/789865f1-f929-4905-86e1-c82ed23c5db8
Apply URLhttps://jobs.lever.co/zoox/789865f1-f929-4905-86e1-c82ed23c5db8/apply
First Seen At2026-05-29 06:58:06Z
Last Seen At2026-06-21 07:55:39Z
Last Checked At2026-06-21 07:55:39Z
Last Changed At2026-05-29 06:58:06Z
Inactive At
Source Posted At2025-06-11 16:35:20Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zoox/date=2026-06-21/2026-06-21T07-55-38-591Z-fa42a184ddea8672faa557bc037f5f7051f28029d754d319dccd3a0019d9e568.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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