Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators

About the role

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. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you.

The AWS Hardware Engineering team creates server designs for Amazon's innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies.

The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder!

What you will do

• Work with engineers across the company for delivering the next-generation AWS platforms
• Have a direct impact on our bottom line and the ability to deliver improvements for AWS
• Be part of a growing, fast paced, and fun team
• Have ownership for the implementation of your work
• See direct product improvements based on the results of your work

Key job responsibilities

• Be a technical leader solving complex architectural problems which may not be defined before hand
• Own the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution
• Decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel
• Use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge

A day in the life

Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud.

About the team

The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally.

Basic Qualifications

• 2+ years of non-internship professional software development experience
• 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
• Knowledge of systems engineering fundamentals (networking, storage, operating systems)
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Preferred Qualifications

• Experience with PowerShell (preferred), Python, Ruby, or Java
• Experience working in an Agile environment using the Scrum methodology

Pay

• USA, CA, Cupertino: 148,700.00 - 201,200.00 USD annually
• USA, TX, AUSTIN: 129,200.00 - 174,800.00 USD annually
• USA, TX, Austin: 129,200.00 - 174,800.00 USD annually
• USA, WA, Seattle: 129,200.00 - 174,800.00 USD annually

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Learn more about our benefits at https://amazon.jobs/en/benefits.

This response is AI-generated, for reference only.