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# Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers

- **Company:** Amazon.com, Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $157,300.0 - $212,800.0
- **Contract:** Permanent contract
- **Skills:** Board Bringup, Amazon Web Services, Amazon Elastic Compute Cloud, Cloud Computing, Computer Engineering, Software Debugging, Firmware, Hardware Design, PCI Express, Systems Development Life Cycle, Signal Integrity, Software Engineering, Cloud Platform System, Generative AI, Network Server, Nvme
- **Published:** August 31, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10521297/cloud-hardware-dev-engineer-aws-generative-ai-ml-servers-aws-generative-ai-ml-servers

## About the Role

Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent

 - 2+ years of hardware design, development and validation experience for server or compute platforms
 - Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems
 - Experience developing functional specifications, design verification plans, and validation test procedures, Master's degree in Electrical Engineering, Computer Engineering, or a related field
 - 2+ years of experience working with ODMs through product development and manufacturing lifecycle
 - Experience in high-speed bus design, signal integrity, or power delivery for server/compute platforms
 - 2+ years experience working with hardware bring-up, debug, or validation of GPU/accelerator platforms
 - Familiarity with PCIe topology, NVMe, and accelerator interconnects
 - Experience developing and executing test procedures for electrical or mechanical systems
 - Experience working in large-scale datacenter or cloud environments

## Description

As a Cloud Hardware Development Engineer on the AWS Generative AI & ML Servers team, you will partner with EC2 to define server architectures based on workload demand and customer requirements. You will translate these architectures into detailed supporting designs and component specifications that enable high-performance AI training and inference at scale.
You will define and drive validation strategies from PCBA bring-up through server and rack integration, ensuring designs meet performance, thermal, mechanical, power, and signal integrity requirements. Working with interdisciplinary teams of component, firmware, test, qualification, and integration engineers, you will lead design and manufacturing partners through development and production.
You will be responsible for triaging hardware issues at both ODM facilities and datacenters, conducting root cause analysis, and implementing corrective actions. After launch, you will oversee the fleet of servers you develop, monitoring quality metrics and ensuring they meet customer requirements while identifying opportunities for continuous improvement.

A day in the life
Your day to day responsibilities will include interfacing with internal customers to understand project requirements and facilitate system development. You will work directly with EC2 teams to align on architecture decisions and translate workload requirements into technical specifications. You will be responsible for learning operational challenges in the existing fleet with the goal of improving customer experience and developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale, driving design reviews, resolving technical issues, and ensuring quality throughout the development lifecycle.

About the team
The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best Accelerated Server fleet possible to our customers.

*Why AWS*
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.


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