At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible.

AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.

The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It is preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training.

The Neuron team is looking for students interested in learning about and contributing to deep learning compilers to solve our customers toughest problems. As a compiler engineer on the Neuron team, you will be supporting the development of a compiler targeting AWS Inferentia and Trainium - our custom Silicon ML accelerators. This is an opportunity to work on a cutting-edge product where you will implement business-critical features, and be mentored by a brilliant team of experienced engineers.