ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs

Amazon
Seattle / Cupertino / Austin2026-04-10ONSITE

About the job

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. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.

Responsibilities

develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability; help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler; work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers

Qualifications

Minimum

Strong software development skills using C++/Python are critical to this role

Preferred

A science background in compiler development is strongly preferred; A background in Machine Learning and AI accelerators is preferred, but not required