Join Amazon's innovative EFA (Elastic Fabric Adapter) ML Software Team as a Senior Software Engineer and help shape the future of Machine Learning in the cloud. This role focuses on developing high-performance networking solutions that power AI and HPC workloads across AWS. You'll be working with the user-space software that enables the EFA network card, writing efficient C code for projects like Libfabric and Open MPI.
As a technical leader, you'll guide a team of passionate developers, architecting solutions that push the boundaries of cloud networking performance. Your work will directly impact some of the world's leading AI companies, optimizing their ability to run large-scale ML workloads across thousands of GPU and CPU instances.
The position offers an exciting blend of technical leadership and hands-on development. You'll be responsible for designing new APIs, optimizing performance, and working closely with ML Infrastructure teams to ensure your solutions perform effectively at scale. The role requires deep expertise in networking, strong C programming skills, and the ability to mentor other engineers.
Working at Amazon's Annapurna Labs division, you'll be part of a nimble team that stays ahead of industry trends, particularly in AI infrastructure. The team emphasizes automation and focuses on solving challenging problems as customers push the boundaries of what's possible with our network infrastructure.
This is an excellent opportunity for experienced engineers who are passionate about high-performance computing, machine learning infrastructure, and technical leadership. The role offers competitive compensation, comprehensive benefits, and the chance to work on cutting-edge technology that powers some of the most demanding computational workloads in the cloud.