Software Development Engineer III, Annapurna Labs

Amazon Annapurna Labs, a crucial part of AWS Utility Computing (UC), is at the forefront of silicon and software innovation for AWS customers. The team combines cloud-scale operations with top engineering talent across silicon engineering, hardware design, software, and operations. They've made significant improvements to AWS cloud infrastructure through innovations like AWS Neuron, Inferentia and Trainium ML chips, networking and security products including AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and computing solutions like AWS Graviton and F1 EC2 instances.

AWS Neuron, the software powering Trainium and Inferentia ML chips, delivers industry-leading machine learning inference and training performance at the lowest cost in the cloud. The software includes ML compiler capabilities and seamless integration with popular ML frameworks. Their solutions are widely used by major customers like Anthropic and Databricks, as well as internal Amazon teams including Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, and Amazon Rekognition.

As a Senior Software Development Engineer, you'll join a dynamic team focused on building and implementing AI agents to enhance customer adoption of Trainium and Inferentia. You'll work directly with external and internal customers to identify and overcome adoption challenges while capitalizing on opportunities to accelerate technology implementation.

The role combines hands-on technical work with strategic thinking, requiring expertise in software architecture, distributed systems, and machine learning environments. You'll be responsible for designing and implementing solutions that improve service performance, durability, cost, and security while maintaining high availability and reliability standards.

Working in a startup-like environment within Amazon, you'll have the opportunity to make significant impact through your technical contributions, mentor other team members, and drive innovation in the rapidly evolving field of machine learning infrastructure. The position offers competitive compensation ranging from $151,300 to $261,500 per year based on location, plus additional benefits including equity, sign-on payments, and comprehensive medical and financial benefits.