Cloud AI Hardware Engineer — Scale High‑Perf Servers

Amazon Web Services (AWS)

Cupertino (CA)

On-site

USD 183,000 - 248,000

Full time

14 days+
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Job summary

Amazon Web Services, Inc. in Cupertino, California is seeking a Cloud Hardware Development Engineer to help design, build, and operate high-performance AI/ML server fleets at scale.

You will partner with EC2 to define architectures and translate workload requirements into concrete designs that enable efficient AI training and inference. You will lead cross-functional teams through design reviews, validation, and manufacturing, triage issues in ODMs and datacenters, and ensure reliability and

Qualifications

  • 7+ years of equivalent experience in hardware engineering or related fields.
  • Experience in developing functional specs, design verification plans and test procedures.
  • Experience in server technologies: thermal, mechanical design, power, signal integrity.
  • Bachelor's degree or above in electrical or computer engineering.
  • Strong English communication skills, written and verbal.
  • Experience leading process improvement and manufacturing collaboration.

Responsibilities

  • Define server architectures for AI training/inference at scale with EC2 alignment.
  • Drive validation from PCBA bring-up through rack integration for performance and reliability.
  • Triage hardware issues at ODM facilities and data centers and implement corrective actions.
  • Oversee fleet of deployed servers and drive continuous improvements.

Skills

7+ years experience
Server technologies
Thermal/mechanical design
Signal integrity
BIOS/BMC/Networking
English communication

Education

Bachelor's degree in electrical/computer engineering

Job description

Amazon Web Services, Inc. in Cupertino, California is seeking a Cloud Hardware Development Engineer to help design, build, and operate high-performance AI/ML server fleets at scale.

You will partner with EC2 to define architectures and translate workload requirements into concrete designs that enable efficient AI training and inference. You will lead cross-functional teams through design reviews, validation, and manufacturing, triage issues in ODMs and datacenters, and ensure reliability and

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