AWS Infrastructure Services is seeking a Senior Software Development Engineer to join their ML Networking Performance team. This role is crucial in driving innovation for AWS's global infrastructure, specifically focusing on machine learning network performance. The position involves developing metrics and benchmarking systems to optimize ML network performance, directly impacting AWS's ML customers worldwide.
The role sits within AWS Infrastructure Services, which manages the design, planning, delivery, and operation of all AWS global infrastructure. The team is responsible for maintaining AWS data centers, servers, storage, networking, and all essential equipment that ensures continuous customer service. This is a unique opportunity to work on complex problems involving thousands of supply chain variables.
The ideal candidate will bring deep expertise in network routing, transport protocols, and ML workloads. You'll join a high-impact team of senior engineers focused on measuring and improving hyperscale data center networks' performance. This position offers the chance to shape one of the world's largest ML networks and contribute to groundbreaking solutions that directly benefit AWS's machine learning customers.
Amazon offers a comprehensive benefits package, including competitive base pay ranging from $129,300 to $223,600 depending on location, equity compensation, sign-on payments, and various medical and financial benefits. The company strongly values diversity, work-life harmony, and provides extensive opportunities for career growth through mentorship and knowledge-sharing programs.
The role combines technical expertise with strategic thinking, requiring both deep technical knowledge and the ability to deliver innovative solutions at scale. Join AWS to be part of a team that's defining the future of cloud computing and machine learning infrastructure.