AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by customers and partners like such as PyTorch, Epic Games, Snap, Airbnb, Autodesk, Alexa, and Rekognition. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. We are seeking an exceptional Software Engineering Manager to lead our Deep-Learning Compiler team. In this Manager III role, you will lead a team of talented compiler software engineers in the design and development of a machine learning compiler. The ideal candidate will combine strong technical expertise with leadership abilities. As an AWS Neuron Manager, you will lead the design and development of ML compiler solutions, drive execution and mentor your team of engineers. Your expertise will be essential in developing features and optimization techniques, lead hardware bring-up of next-generation chips and influence pre-silicon design. This role offers the opportunity to make a significant impact on AWS's machine learning infrastructure while bringing new products and features to market.