Lead GPU-Compute Server Architect for AI Scale

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

Job summary

Amazon is seeking a Cloud Hardware Development Engineer to define server architectures for GPU-accelerated AI training platforms and drive validation from PCBA bring-up through fleet deployment. You will partner with ODM/JDM teams, own hardware debug across EVT/DVT/PVT, and maintain fleet quality metrics post-launch.

You will lead cross-functional teams across thermal, mechanical, power delivery, and signal integrity domains, ensuring scalable, debuggable, and producible designs for large-scale

Qualifications

• Bachelor's degree in electrical engineering, computer engineering, or equivalent.
• Experience in developing functional specifications, design verification plans and functional test procedures.
• 7+ years of hardware design and development experience for server, compute, or large-scale infrastructure platforms.
• Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems.
• Experience leading hardware development through full product lifecycle (concept through production ramp).
• Experience working with ODMs through the product development and manufacturing lifecycle (EVT, DVT, PVT).
• In-depth expertise in high-speed bus design, signal integrity, or power delivery for GPU/accelerator platforms.
• Experience owning fleet quality metrics and driving design improvements based on operational failure data.
• Experience with thermal/mechanical design for high-power-density compute platforms (liquid cooling, air cooling, or hybrid).
• Track record of defining engineering standards and design best practices adopted across teams or partner organizations.

Responsibilities

• Define server architectures based on workload demand, translating them into detailed designs and component specifications that enable high-performance AI training and inference at scale.
• Work with interdisciplinary teams of component, firmware, test, qualification, and integration engineers to deliver cohesive designs.
• Drive design reviews with ODM/JDM partners covering schematic, layout, BOM, and manufacturing DFx (Design for Test, Design for Manufacturing).
• Define and execute validation strategies from PCBA bring-up through server and rack integration — covering power sequencing, signal integrity, thermal characterization, and accelerator interconnect performance.
• Own hardware debug during EVT/DVT/PVT builds, correlating failures across PCIe, power rails, memory channels, and GPU subsystems.
• Triage hardware issues at both ODM facilities and datacenters, conduct root cause analysis, and implement corrective actions.
• Own fleet quality metrics post-launch: server-level annualized failure rates and component-level failure modes.
• Monitor operational telemetry to identify systemic issues and drive design or process changes for current and future platforms.
• Partner with test and automation teams to improve manufacturing yield and reduce test dwell times.
• Work with EC2 architecture teams to align on instance definitions, workload requirements, and platform trade-offs.
• Drive ODM/JDM design partners through development milestones and production ramp.
• Collaborate with firmware, software, and operations teams to ensure designs are debuggable, serviceable, and automation-ready.

Skills

Hardware design

Server technologies

Power delivery

Signal integrity

Thermal design

ODM collaboration

Fleet quality data

HW bring-up

Debug & root cause

Design for test/manufacturing

Education

Bachelor's degree in electrical engineering or computer engineering

Master's degree in electrical engineering or related field

Job description

Amazon is seeking a Cloud Hardware Development Engineer to define server architectures for GPU-accelerated AI training platforms and drive validation from PCBA bring-up through fleet deployment. You will partner with ODM/JDM teams, own hardware debug across EVT/DVT/PVT, and maintain fleet quality metrics post-launch.

You will lead cross-functional teams across thermal, mechanical, power delivery, and signal integrity domains, ensuring scalable, debuggable, and producible designs for large-scale