Sr. Hardware Dev Engineer (AWS Generative AI & ML Servers)

AWS is seeking a Senior Hardware Development Engineer to join their Hardware Engineering Services team, focusing on Generative AI and ML servers. This role represents a unique opportunity to shape the future of cloud computing for AI training and inference at one of the world's leading cloud providers.

The position involves leading the design, development, and optimization of accelerated servers that power AWS's Generative AI cloud infrastructure. You'll be at the forefront of delivering continuous price-performance improvements for AI model training, including multi-billion variable Large Language Models (LLMs).

As a key member of the team, you'll work closely with customers to understand their technical requirements and business objectives, translating these into architectural solutions that can be deployed at scale. You'll collaborate with a diverse group of professionals, including component engineers, firmware specialists, test engineers, and integration teams.

The role offers significant technical challenges and opportunities for innovation in server design and fleet management. You'll be responsible for overseeing the entire lifecycle of server development, from initial concept through to production and deployment. This includes working with manufacturing partners, managing quality control, and ensuring systems meet customer requirements.

AWS provides an inclusive culture that values diverse experiences and perspectives. The company offers comprehensive benefits, including medical coverage, equity compensation, and opportunities for career growth through mentorship and knowledge-sharing. You'll be part of a team that's dedicated to maintaining AWS's position as the world's leading cloud platform while working on cutting-edge technology that powers the future of AI and machine learning.

The ideal candidate will bring strong technical expertise in hardware development, experience with cross-functional team leadership, and a passion for solving complex engineering challenges. This role offers the opportunity to make a significant impact on the infrastructure that powers some of the most advanced AI and ML workloads in the cloud computing industry.

Working at AWS means joining a company that's committed to innovation, customer obsession, and maintaining the highest standards for safety and security. You'll have the chance to work on challenging problems that affect thousands of variables in the supply chain while helping to deliver seemingly infinite capacity at the lowest possible cost for customers.