# AI Hardware Architect

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** Hardware Engineering
**Salary:** $287k – $410k/yr
**Experience:** 15+ years
**Skills:** Ai/Ml Hardware Optimization, Computer System Architecture, High-Speed Motherboard Design, Altium Designer, Pcb Layout, Gpus, Pcie, Nvme, Ethernet, AWS, Linux, Qnx, Iso 26262, Emc, Silicon Vendors
**Posted:** 2025-06-11

> Architects next-generation on-vehicle and cloud compute platforms for autonomous vehicles, balancing off-the-shelf and custom silicon. Leads cross-functional teams, defines technical roadmaps, and ensures hardware optimizes AI/ML workloads. Requires 15+ years in electrical engineering and system architecture.

## Job Description

## Responsibilities
- Provide engineering leadership for high-performance Compute modules
- Architect next generation compute systems and define the technical roadmap at system and silicon level
- Work extensively with cross-functional teams (software, mechanical, vehicle-integration, data-flow architects) to ensure product success, including 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
- Support assessment and optimization of training platforms

## Qualifications
- BS or MS in electrical/computer engineering or equivalent
- 15+ years of professional work experience
- Solid electrical 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
- Experience managing engineering teams and mentoring junior engineers
- High-speed motherboard design and architecture
- Working knowledge of schematic design and PCB layout tool (Altium Designer preferred)
- 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 in functional safety/ISO 26262/FMEA
- Experience taking products through full EMC
- 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

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