High Performance Deep Learning Compiler Engineer

1 day ago


Toronto, Ontario, Canada Amazon Development Centre Canada ULC Full time
About the Role

Amazon Development Centre Canada ULC is seeking a highly skilled Deep Learning Compiler Engineer to join our AWS Neuron team. This is an exciting opportunity to work on cutting-edge products at the intersection of machine learning, high-performance computing, and distributed architectures.

Job Description
  • Solve challenging technical problems, often ones not solved before, at every layer of the stack.
  • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
  • Build high-quality, highly available, always-on products.
  • Research implementations that deliver the best possible experiences for customers.

In this role, you will be responsible for designing and implementing business-critical features, publishing cutting-edge research, and mentoring a brilliant team of experienced engineers.

About Our Team

Our team values diverse experiences and encourages candidates from all backgrounds to apply. We are committed to furthering our culture of inclusion and believe in striking the right balance between your personal and professional life.

Benefits
  • $170,000 - $200,000 per year (estimated salary based on industry standards).
  • We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face.
  • A flexible, hybrid work model near one of our US Amazon offices or Toronto, ON, CAN.
  • Competitive benefits package, including health, dental, and vision insurance.
About Amazon Web Services (AWS)

AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



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