Amazon - Lynnwood, WA
posted about 2 months ago
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. As a member of this team, you will help lead the efforts in building fuzzers and specification synthesis tooling for our LLVM-based compiler. This role requires a strong focus on scientific approaches to software engineering problems, pushing the boundaries of what is known to deliver the best results for our customers. In this position, you will collaborate with a team of experts, leveraging your strong software development skills in C++ and Python. Your contributions will be critical in enhancing the compiler's capabilities and ensuring it meets the needs of various applications. A solid understanding of large language model (LLM) training processes will be beneficial as you work on optimizing models for performance and efficiency. The ideal candidate will have a science background in compiler development, which is strongly preferred for this role. Candidates must be currently located or willing to relocate to Seattle (preferred), Cupertino, Austin, or Toronto. This position offers a unique opportunity to work at the forefront of deep learning technology, contributing to projects that have a significant impact on the industry.