Kejie Zhang

ML Compiler Engineer @ AWS Neuron | ML, Compiler, AI Chip, Distributed System

Role: Ml Compiler Engineer at Amazon Web Services (AWS)
Location: Sunnyvale, CA, US
LinkedIn followers: 500 followers

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About Kejie Zhang

Machine Learning/Deep Learning + Compiler + AI chip = fascinating!

Experience

Ml Compiler Engineer
Amazon Web Services (AWS)
Jan 2025 — Present · Cupertino, CA, US
Developing and optimizing ML compiler and system for AWS Inferentia and Trainium chips

Contact information

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Current company

Amazon Web Services (AWS)

IT Services and IT Consulting · 10K employees · Founded 2006 · 410 Terry Ave N, Seattle, WA, 98019, US

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

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About Kejie Zhang

Experience

Ml Compiler Engineer

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