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Senior ML Hardware Engineer - Acceleration Chips

cupertino, ca • Posted 6 days ago
Onsite Full Time Engineering

Amazon is looking for a Hardware Engineer for their Machine Learning Acceleration team based in Cupertino, CA. You will be responsible for defining, designing, and validating next-generation ML chips and server integration. This position involves optimizing hardware for large-scale deployments in AWS data centers, with a strong focus on innovation and performance.

The ideal candidate will possess a Bachelor's and preferably a Master’s in Electrical Engineering. Relevant experience in debugging, verification techniques, and knowledge of current RF standards is essential. Join us and help shape the future of cloud solutions!

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