Neuron Compiler Software Engineer Intern

2 days ago

Toronto, Ontario, Canada Amazon Full time
Unlock the Power of Deep Learning with AWS Neuron

At Amazon, we're committed to making deep learning accessible to all developers. To achieve this vision, we've created innovative software and hardware solutions that accelerate deep learning workloads.

AWS Neuron is a cutting-edge 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 popular deep learning frameworks like TensorFlow, PyTorch, and MXNet. It's preinstalled in AWS Deep Learning AMIs and Deep Learning Containers, making it easy for customers to get started with high-performance and cost-effective inference and training.

Join Our Team of Compiler Engineers

We're looking for talented 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'll be supporting the development of a compiler targeting AWS Inferentia and Trainium. You'll have the opportunity to work on a cutting-edge product, implement business-critical features, and be mentored by a brilliant team of experienced engineers.

What We're Looking For
  • Experience with modern programming languages like Java, Python, C++, or C#
  • Currently enrolled in a Bachelor's degree program or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
  • Strong interests and academic qualifications/research focus in areas like code generation, compute graph optimization, resource scheduling, data structures, algorithms, compilers, and machine learning
  • Experience with optimizing compilers, machine learning frameworks, and machine learning models
  • Available for a 12-month internship starting in May 2025
  • Previous technical internship(s)

Amazon is committed to a diverse and inclusive workplace. We're an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

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