Systems Development Engineer (AWS Generative AI & ML Servers)

AWS Hardware Engineering team is seeking a Systems Development Engineer to build the backbone of Generative AI cloud services. This role sits at the intersection of hardware and software, focusing on creating server designs that power AWS's innovative web services. The position offers an opportunity to work on industry-leading projects delivering continuous price performance improvements in cloud AI model training for multi-billion variable LLMs.

The ideal candidate will be an innovative self-starter with comprehensive knowledge of the full technical stack - from baremetal server hardware to userland software. You'll work directly with engineers across AWS to deliver next-generation platforms, having a direct impact on AWS's bottom line and customer experience. The role involves solving complex architectural problems, developing tactical solutions for diagnostics, and ensuring high reliability at cloud scale.

As part of AWS Infrastructure Services (AIS), you'll join a diverse team responsible for keeping the cloud running, supporting all AWS data centers and infrastructure. The position offers exposure to cutting-edge technology in AI/ML and HPC workloads, working with the latest AWS services and instance types. You'll collaborate with various teams, including software developers, hardware engineers, and TPMs, through the entire server lifecycle from conception to operations.

The role combines technical leadership with hands-on development, requiring expertise in systems engineering fundamentals, programming languages like Python and Go, and deep understanding of server architecture. You'll work in a fast-paced, innovative environment that values diverse experiences and promotes inclusive culture through employee-led affinity groups and ongoing learning opportunities.

This position offers competitive compensation, comprehensive benefits, and the chance to shape the future of cloud computing at one of the world's leading technology companies. Join us in building the infrastructure that powers the next generation of AI and cloud computing.