Overview
Deep Learning Compiler Engineer II, AWS Neuron, Annapurna Labs Jobs in North York at Amazon Development Centre Canada ULC
Title: Deep Learning Compiler Engineer II, AWS Neuron, Annapurna Labs
Company: Amazon Development Centre Canada ULC
Location: North York
Category: IT/Tech, Software Development
Location: North York
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 Tensor flow, PyTorch, and MXNet. It’s preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.
The Neuron team is hiring senior compiler engineers in order to solve our customers toughest problems.
This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures.
You will
architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique
learning culture
.
As a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum.
You will
be developing and scaling the compiler to handle the world’s largest ML workloads.
You will
need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers.
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 machine learning and AI accelerators is preferred, but not required.
Explore the product and our history!
About the team.
Inclusive
Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of
inclusion
. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have
innovative
benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender
diversity
) conferences.
Amazon’s culture of
inclusion
is reinforced within our 16
Leadership
Principles, which remind team members to seek
diverse
perspectives, learn and be curious, and earn trust.. Work/Life Balance Our team puts a high value on
work-life balance
. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.
We offer
flexibility
in working hours and encourage you to find your own balance between your work and personal lives.. Mentorship &
Career Growth
Our team is dedicated to supporting ne…
