Amazon Sr Machine Learning - Compiler Engineer III AWS Neuron Annapurna Labs 

United States, California, Cupertino 

825523597

The Neuron Compiler 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. The team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance.As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and contributing to a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects.A background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required.

- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 2+ years of experience in developing compiler features and optimizations
- Proficiency with 1 or more of the following programming languages: C++ (preferred), C, Python

- Master or PhD degree in computer science or equivalent
- Proficiency with resource management, scheduling, code generation, and compute graph optimization
- Experience optimizing Tensorflow, PyTorch or JAX deep learning models
- Experience with multiple toolchains and Instruction Set Architectures