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ZooxZooxFoster City, CA

AI Hardware Architect

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.

287k – 410k/yr
Hybrid15+ YOEHardware Engineering

About the role

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

Skills

Ai/Ml Hardware OptimizationComputer System ArchitectureHigh-Speed Motherboard DesignAltium DesignerPcb LayoutGpusPcieNvmeEthernetAWSLinuxQnxIso 26262EmcSilicon Vendors
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