AI Hardware Architect for Cloud GPU Servers

Amazon Inc.

Cupertino (CA)

On-site

USD 183,000 - 248,000

Full time

10 days ago

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Job summary

Amazon in Cupertino, CA is seeking a senior hardware engineer to define and validate server architectures for AI/ML workloads. You will drive cross-functional design reviews, validate high-speed interconnects, and own fleet-level quality initiatives across the AWS GPU-accelerated hardware platform.

You will work with ODMs/JDMs to optimize thermal, mechanical, power, and signal integrity, mentor junior engineers, and contribute to tooling and process improvements for scalable deployment in

Qualifications

  • 7+ years of equivalent hardware engineering experience.
  • Experience in defining specifications and test procedures.
  • Deep expertise in server technologies: thermal, mechanical, power and signal integrity.
  • Bachelor's degree or higher in electrical/computer engineering or equivalent.

Responsibilities

  • Define server architectures based on workload demand and customer requirements.
  • Work with interdisciplinary teams to deliver cohesive designs.
  • Drive design reviews with ODM/JDM partners covering schematic, layout, BOM, and DFx.
  • Define and execute validation strategies from PCBA bring-up through server and rack integration.
  • Own hardware debugging during EVT/DVT/PVT builds and perform root cause analysis.
  • Monitor fleet quality metrics and drive design or process improvements.
  • Collaborate with firmware, software, and operations teams to ensure debuggable designs.
  • May travel <10% to partner sites.

Skills

7+ years experience
Functional specifications
Server tech: thermal
Server tech: mechanical
Server tech: power
Server tech: signal integrity
Design/Innovation
Process improvement
English communication
Hardware failure analysis

Education

Bachelor's degree in Electrical/Computer Engineering

Job description

Amazon in Cupertino, CA is seeking a senior hardware engineer to define and validate server architectures for AI/ML workloads. You will drive cross-functional design reviews, validate high-speed interconnects, and own fleet-level quality initiatives across the AWS GPU-accelerated hardware platform.

You will work with ODMs/JDMs to optimize thermal, mechanical, power, and signal integrity, mentor junior engineers, and contribute to tooling and process improvements for scalable deployment in

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