Senior Cloud GPU Hardware Architect for AI Servers

Amazon Web Services (AWS); Austin (TX); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Development Center U.S., Inc. seeks a Cloud Hardware Development Engineer to define server architectures for AI workloads and drive validation from silicon to fleet deployment.

You will lead ODM/JDM partners through development, triage hardware issues across datacenters, and own fleet quality metrics post-launch. You will work across thermal, mechanical, power delivery, and signal integrity disciplines, collaborating with firmware, software, and operations teams to ensure end-to-end

Qualifications

• Bachelor's degree in Electrical or Computer Engineering or equivalent.
• 7+ years hardware design and development for server or large-scale infra.
• Experience leading hardware development through full product lifecycle.

Responsibilities

• Define hardware for AI training workloads across thermal, mechanical, power and signal integrity.
• Drive validation from PCBA bring-up to fleet deployment; triage issues across PCIe, power, memory and interconnects.
• Own EVT/DVT/PVT hardware debug; implement corrective actions.
• Triage issues at ODM facilities and datacenters; monitor fleet quality metrics and drive design improvements.
• Collaborate with cross-functional teams and ODM/JDM partners to ensure debuggable, serviceable designs.

Skills

Hardware design

Verification plans

Functional testing

Lifecycle management

Thermal design

Power delivery

Signal integrity

ODM collaboration

Education

Bachelor's degree in Electrical/Computer Engineering

Master's or PhD in EE/CE or related field

Job description

Amazon Development Center U.S., Inc. seeks a Cloud Hardware Development Engineer to define server architectures for AI workloads and drive validation from silicon to fleet deployment.

You will lead ODM/JDM partners through development, triage hardware issues across datacenters, and own fleet quality metrics post-launch. You will work across thermal, mechanical, power delivery, and signal integrity disciplines, collaborating with firmware, software, and operations teams to ensure end-to-end