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. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.

As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of our next generation Machine learning Training and Inference Accelerators that are deployed in AWS data centers.

Key job responsibilities
* Responsible for validating the system architecture for the next gen Machine Learning Acceleration (MLA) product family using emulation/prototyping platforms.
* Collaborate with design, software & architecture teams and develop in-depth architecture validation plans
* Focus on SW integration, Usecases, Performance, Reset and Deadlock testing.
* Develop methodologies and robust infrastructure for test development, execution and reporting.
* Execute on the validation plans, debug and meet the criteria for successful tapeout.
* Provide technical leadership through personal example, mentorship, and strong teamwork.