About The Position

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 infrastructure that enables high performance and scalability in AI/ML and HPC workloads. You’ll join a diverse AWS Hardware Engineering 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. 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!

Requirements

  • 4+ years of non-internship professional software development experience
  • 4+ years of deploying and operating in a Linux/Unix environment experience
  • 4+ years of systems development in an IT or data center environment experience
  • 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
  • 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 2+ years of systems design, software development, operations, automation, and process improvement experience
  • Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production

Nice To Haves

  • 3+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
  • Experience debugging, integrating, and validating complex AI/ML and Cloud Computing servers.

Responsibilities

  • You will be a technical leader solving complex problems.
  • You will 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.
  • You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge.
  • 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, design, test, launch, and operations.
  • Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud.

Benefits

  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • Our inclusive culture empowers Amazonians to deliver the best results for our customers.
  • If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information.
  • Our compensation reflects the cost of labor across several US geographic markets.
  • The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market.
  • Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
  • Amazon is a total compensation company.
  • Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
  • For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits [https://www.aboutamazon.com/workplace/employee-benefits].
  • This position will remain posted until filled.
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