Home › Companies › Zoox › Senior 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
| Field | Value |
|---|---|
| Company | Zoox |
| Title | Senior Staff / Principal AI & Compute Architect |
| Normalized title | - |
| Department / team | Advanced Hardware Engineering / Electrical Engineering |
| Location | Foster City, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $287,000–$410,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2025-06-11 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Zoox. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Foster City. | Open |
| Department jobs | Active postings in Advanced Hardware Engineering. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Zoox |
| Source | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| ATS provider | Lever |
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.
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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 ID | f595c92738786ff25533a050e0678eab3683a4ab |
| Org ID | 518be277-8ec5-4735-b0ad-193a2bc397c7 |
| Source ID | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| Board ID | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| Provider | lever |
| Provider Job Key | 789865f1-f929-4905-86e1-c82ed23c5db8 |
| Title | Senior Staff / Principal AI & Compute Architect |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Foster City, CA |
| Department | Advanced Hardware Engineering |
| Team | Electrical Engineering |
| Employment Type | Full-time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | Foster City |
| Salary Raw | USD 287000-410000 per-year-salary |
| Salary Min | 287,000 |
| Salary Max | 410,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/zoox/789865f1-f929-4905-86e1-c82ed23c5db8 |
| Apply URL | https://jobs.lever.co/zoox/789865f1-f929-4905-86e1-c82ed23c5db8/apply |
| First Seen At | 2026-05-29 06:58:06Z |
| Last Seen At | 2026-06-21 07:55:39Z |
| Last Checked At | 2026-06-21 07:55:39Z |
| Last Changed At | 2026-05-29 06:58:06Z |
| Inactive At | — |
| Source Posted At | 2025-06-11 16:35:20Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zoox/date=2026-06-21/2026-06-21T07-55-38-591Z-fa42a184ddea8672faa557bc037f5f7051f28029d754d319dccd3a0019d9e568.json |
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