Amazon.com Services LLC
Cloud Computing
CloudHardwareDevEngineer(AWSGenerativeAI&MLServers)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers) at Amazon.com Services LLC. Skills: Hardware Engineering, Server Development, Generative AI, Machine Learning. 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 seemingly infinite capacity; Provide lowest possible cost
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Experience with interdisciplinary teams, Experience developing functional specifications, Experience developing design verification plans, Experience developing functional test procedures, Experience in server technologies, Bachelor's Degree in EE or equivalent
Nice to Have
Experience with project management, Experience in compute and storage server architecture, Experience in design for large scale applications, Master's degree or above in electrical engineering, Master's degree or above in computer engineering, 5+ years hardware development, Focus on system / server development
What You'll Do.
Lead root cause analysis
Understand customer technical needs
Understand customer business goals
Deploy solutions at scale
Work with interdisciplinary team
Work with component engineers
Work with firmware engineers
Work with test engineers
Work with integration engineers
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
Manufacture product at scale
How You'll Work.
Team & Collaboration
Interdisciplinary teams; Cross functional teams; Hardware Design Engineers; System Design Engineers; Software Development Engineers; Technical Program Managers
Communication Scope
Communicate effectively; Communicate respectfully
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. 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. 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
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