Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering

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

• You will work with engineers across the company for delivering the next-generation AWS platforms.
• You will have a direct impact on our bottom line and the ability to deliver improvements for AWS.
• You will be part of a growing, fast-paced, and fun team.
• You will have ownership for the implementation of your work.
• You will see direct product improvements based on the results of your work.
• You will work with engineers across the company for delivering the next-generation AWS platforms.
• You will have a direct impact on our bottom line and the ability to deliver improvements for AWS.
• You will be part of a growing, fast-paced, and fun team.
• You will have ownership for the implementation of your work.
• You will see direct product improvements based on the results of your work.
• You’ll work at the fascinating intersection of AI driven automation and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers.
• You’ll develop smart automation solutions, implement AI-driven tools and workflows and be part of AI transformation.

Qualifications

• 4+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
• 3+ years of non-internship professional software development experience
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• Experience with x86 architecture, as well as ARM, and GPU/ FPGA devices
• Experience with modern technology devices in storage, network, memory as well as a variety of interface standards and protocols (I2C, IPMI, SPI, PCIe)
• BS degree in Computer Science, Computer Engineering, or other technical degree, or relevant work experience