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# Cloud Hardware Dev Engineer (AWS Generative AI...

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $183,000.0 - $247,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, BIOS, Cloud Computing, Databases, Computer Engineering, Software Debugging, Distributed Systems, Firmware, Hardware Design, Machine Learning, PCI Express, Productivity Software, Systems Development Life Cycle, Cloud Services, Signal Integrity, Software Engineering, Cloud Platform System, High Performance Computing, Performance Testing, Large Language Models, Generative AI, Network Server, Nvme
- **Published:** June 18, 2026
- **Apply:** https://www.juju.com/job/00000000g93mge

## About the Role

7+ years of equivalent experience

 - Experience in developing functional specifications, design verification plans and functional test procedures

 - Experience in server technologies such as, thermal, mechanical, power, and signal integrity

 - Bachelor's degree or above in electrical engineering, computer engineering, or equivalent

 - 5+ years of Design/Innovation, research & development, manufacturing, process, industrial engineering, or related experience

 - Experience leading process improvement, systems development, and project management

 - Experience in English-language communication skills, both written and verbal

 - In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, GPU, SSDs, memory), BIOS, BMC, and networking

Preferred Qualifications

 - Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps

 - Experience leading engineering teams as a mentor or tech lead, or experience with general troubleshooting/debugging of hardware

 - 7+ years of new hardware product development experience, e.g. server, storage, networking, or large-scale distributed systems experience

 - In-depth expertise in one or more server technologies: thermal/mechanical design, high-speed bus design and signal integrity, failure analysis, server components (CPU, GPU, SSDs, memory), BIOS, BMC, and networking

 - Experience developing and executing test procedures for mechanical or electrical systems/components

 - Experience working with ODMs/manufacturer through the product development and manufacturing lifecycle

 - Experience building predictive failure detection or proactive remediation systems at fleet scale

 - Experience with storage/compute/GPU/accelerator platforms including integration, diagnostics, or performance validation

 - Familiarity with PCIe topology, NVLink, NVMe, and accelerator interconnects

 - Experience with large-scale datacenter or cloud environments

## Description

Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion., 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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