Senior GPU-Accelerated AI/ML Cloud Hardware Architect

Amazon; Seattle (WA); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon is seeking a Cloud Hardware Development Engineer to define server architectures for AI/ML workloads in our Seattle data centers. You will translate workload demands into detailed component specifications, drive validation from PCBA bring‑up through rack integration, and lead ODM/JDM partners through development and production.

You will own fleet quality metrics post-launch, triage hardware issues across manufacturing and datacenters, and collaborate with cross‑team colleagues to ensure

Qualifications

• Bachelor's degree in electrical or computer engineering or equivalent.
• Experience in developing functional specifications and validation plans.
• 7+ years of hardware design and development for server or large‑scale infra.
• Experience with PCIe, NVMe, memory, or accelerator interconnects.

Responsibilities

• Define server architectures based on workload demand and translate them into detailed designs and specifications.
• Drive validation from PCBA bring‑up through rack integration with cross‑discipline teams and ODM/JDM partners.
• Triage hardware issues and monitor fleet quality metrics post‑launch to drive design improvements.

Education

Bachelor's degree in electrical or computer engineering

Master's degree preferred

Job description

Amazon is seeking a Cloud Hardware Development Engineer to define server architectures for AI/ML workloads in our Seattle data centers. You will translate workload demands into detailed component specifications, drive validation from PCBA bring‑up through rack integration, and lead ODM/JDM partners through development and production.

You will own fleet quality metrics post-launch, triage hardware issues across manufacturing and datacenters, and collaborate with cross‑team colleagues to ensure