Amazon Data Services, Inc.
Technology
Sr.HardwareDevEngineer(AWSGenerativeAI&MLServers),AWSGenerativeAI&MLServers
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers at Amazon Data Services, Inc.. Skills: Hardware development, Server architecture, Generative AI infrastructure, ML infrastructure. Own and lead design. Lead development”
What You'll Achieve.
Deliver continuous price performance improvements; Enable high performance; Enable scalability; Deliver highest standards for safety; Deliver highest standards for security; Provide infinite capacity; Achieve lowest possible cost
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Experience developing functional specifications, Experience developing design verification plans, Experience developing functional test procedures, Experience executing product design from concept to production, Experience with server technologies, Bachelor's Degree in EE or equivalent
Nice to Have
Master's degree in electrical engineering, Master's degree in computer engineering, Experience with project management, Experience in compute server architecture, Experience in storage server architecture, 10+ years hardware development
What You'll Do.
Lead root cause analysis
Understand customer technical needs
Understand customer business goals
Deploy solutions at scale
Work with interdisciplinary teams
Lead manufacturing partners
Bring servers to data center
Monitor server quality
Meet customer requirements
Interface with customers
Understand project requirements
Facilitate system development
Learn operational challenges
Improve customer experience
Develop improved systems
Work with ODM/JDM design teams
Develop product at scale
Manufacture product at scale
How You'll Work.
Team & Collaboration
Interdisciplinary teams; Component engineers; Firmware engineers; Test engineers; Qualification engineers; Integration engineers; Design partners; Manufacturing partners; Hardware Design Engineers; System Design Engineers; Software Development Engineers; Technical Program Managers; Cross functional teams
Process & Methodology
Project management
Full Job 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. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. 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. Key job responsibilities As a member of the Hardware Engineering Services team in this specific function, you will own and lead the design, development and root cause of a new segment of accelerated servers. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration
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