Sr.MLCompilerEngineer

Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML workloads to run efficiently in the cloud. Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Sr. ML Compiler Engineer, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will design and implement a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also: - Solve challenging technical problems, often ones not solved before, at every layer of the stack. - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality