Cloud GPU Hardware Development Lead

Amazon Web Services (AWS); Austin (TX); On-site; USD 175,000 - 237,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Austin is seeking a Cloud Hardware Development Manager to lead a team of hardware and systems engineers and TPMs responsible for GPU-accelerated server platforms used in world-scale AI workloads.

You will set technical direction, manage ODM and silicon supplier partnerships, drive programs from concept to production, and own fleet reliability metrics, including availability and failure rates.

Qualifications

• Bachelor's degree or higher in engineering or related field.
• 7+ years hardware development experience for server, compute, networking, or storage platforms.
• 1+ years of experience managing hardware engineering teams.
• Experience working with ODMs or manufacturing partners through product development and production.
• Experience in server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, reliability, or accelerator subsystems.

Responsibilities

• Set technical direction for your team's hardware portfolio across GPU-accelerated server platforms.
• Guide system-level design decisions across thermal, mechanical, power delivery, signal integrity, and accelerator subsystems.
• Drive hardware program reviews, qualification gates, and go/no-go decisions with technical judgment.
• Own fleet reliability and availability, driving continuous improvement to reduce failure rates.

Skills

Hardware leadership

System design

Signal integrity

Fleet reliability

People management

Education

Bachelor's degree in Electrical/Mechanical Engineering or related

Job description

Amazon Development Center U.S., Inc. in Austin is seeking a Cloud Hardware Development Manager to lead a team of hardware and systems engineers and TPMs responsible for GPU-accelerated server platforms used in world-scale AI workloads.

You will set technical direction, manage ODM and silicon supplier partnerships, drive programs from concept to production, and own fleet reliability metrics, including availability and failure rates.