Cloud AI/ML Accelerator Hardware Engineer

Amazon Web Services (AWS)

Cupertino (CA)

On-site

USD 157,000 - 213,000

Full time

4 days ago
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Job summary

Amazon Data Services, Inc. in Cupertino, CA is seeking a Cloud Hardware Development Engineer to own end-to-end lifecycle of accelerator server platforms within the AWS fleet.

You will collaborate across ODMs, firmware, power, mechanical, and software teams to define, qualify, and launch scalable servers, monitor fleet health, and drive reliability improvements with zero-touch operations. The role emphasizes deep technical curiosity, root-cause problem solving, and leadership across hardware,

Qualifications

  • Bachelor's degree in electrical engineering, computer engineering, or equivalent.
  • 2+ years hardware design, development and validation experience for server or compute platforms.
  • Experience in server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems.
  • Experience developing functional specifications, design verification plans, and validation test procedures.

Responsibilities

  • Own end-to-end NPI lifecycle for storage and/or accelerator server platforms.
  • Lead technical solutions for complex server and rack system architectural challenges.
  • Develop functional specifications, design verification plans, and test procedures.
  • Drive qualification and readiness milestones for new platforms.
  • Own fleet health and implement predictive failure detection systems.

Skills

Hardware design
Server architecture
NPI lifecycle
Telemetry analysis
Root cause analysis
Cross-functional collaboration
Problem solving
Firmware development

Education

Bachelor's degree in EE/CE

Job description

Amazon Data Services, Inc. in Cupertino, CA is seeking a Cloud Hardware Development Engineer to own end-to-end lifecycle of accelerator server platforms within the AWS fleet.

You will collaborate across ODMs, firmware, power, mechanical, and software teams to define, qualify, and launch scalable servers, monitor fleet health, and drive reliability improvements with zero-touch operations. The role emphasizes deep technical curiosity, root-cause problem solving, and leadership across hardware,

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