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

About the role

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.

Responsibilities

• 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.
• Solve complex architectural problems which may not be defined before hand.
• Owning 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.

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.