Senior Cloud Hardware Architect — AI/ML Server Systems

Amazon Web Services (AWS)

Cupertino (CA)

On-site

USD 183,000 - 248,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSU eligibility

Job summary

Amazon Data Services, Inc. is seeking a Cloud Hardware Development Engineer in Cupertino, CA to define server architectures for AI training workloads and drive validation from PCBA bring-up through fleet deployment. You will lead ODM partners and own fleet quality metrics post-launch.

You will design across silicon packaging, power delivery, thermal, mechanical design, and high-speed interconnects, partnering with EC2 teams to align requirements and ensure debuggable, serviceable platforms.

Qualifications

  • Bachelor's degree in electrical engineering, computer engineering, or equivalent.
  • Experience in developing functional specifications, design verification plans and functional test procedures.
  • 7+ years of hardware design and development for server, compute, or large-scale infrastructure platforms.
  • Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems.
  • Experience leading hardware development through full product lifecycle (concept through production ramp).

Responsibilities

  • Define server architectures based on workload demand and customer requirements for high-performance AI training and inference at scale.
  • Collaborate with interdisciplinary teams to deliver cohesive designs across components and subsystems.
  • Drive design reviews with ODM/JDM partners covering schematic, layout, BOM, and DFx.

Skills

Hardware design
Server architectures
PCIe
Signal integrity
Thermal design
Power delivery
Leadership

Education

Bachelor's degree in electrical/computer engineering or equivalent

Job description

Amazon Data Services, Inc. is seeking a Cloud Hardware Development Engineer in Cupertino, CA to define server architectures for AI training workloads and drive validation from PCBA bring-up through fleet deployment. You will lead ODM partners and own fleet quality metrics post-launch.

You will design across silicon packaging, power delivery, thermal, mechanical design, and high-speed interconnects, partnering with EC2 teams to align requirements and ensure debuggable, serviceable platforms.

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