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

AWS Hardware Engineering team is seeking a Systems Development Engineer to build the backbone of Generative AI cloud at AWS. This role focuses on designing, delivering, and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.

The position is within the Hardware Engineering AI/ML development team, responsible for launching hardware in the fleet. Working from Seattle, Cupertino, or Austin, you'll collaborate with global development teams on servers located in datacenters worldwide.

As a technical leader, you'll solve complex architectural problems, own team systems, and work proactively to identify and address deficiencies. You'll use your expertise across hardware, software, system designs, x86 architecture, and operations to deliver continuous price performance improvements for AI model training.

The role involves working with various teams including SDEs, Hardware Engineers, TPMs, and other AWS services through the complete lifecycle of server development - from conception to operations. You'll have direct impact on AWS's bottom line and the ability to drive improvements that benefit millions of customers.

AWS offers comprehensive benefits including medical, financial, and other benefits, plus potential equity and sign-on payments depending on qualifications. The position offers opportunity for growth in a fast-paced environment where you'll help shape the future of cloud computing technology.

Key responsibilities include decomposing complex server system problems into manageable components, leading technical implementations, and ensuring high reliability and testability of systems. You'll work at the intersection of hardware and software, requiring deep understanding of both domains.

The ideal candidate combines strong technical skills with leadership abilities, bringing experience in system architecture, software development, and cloud infrastructure. This role offers the chance to work on cutting-edge technology while having significant impact on AWS's cloud infrastructure.

Join us in building the future of cloud computing and be part of a team that values innovation, ownership, and technical excellence. Your work will directly influence how customers worldwide leverage AWS for their AI and machine learning needs.