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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 TO
* Provide technical leadership through personal example, mentorship, and strong teamwork.
- Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or equivalent5+ years of experience in either Pre or Post silicon validation.
- 4+ years of experience using Emulation or FPGA prototyping platform.
- 5+ years experience in C/C++.
- Experience on Testplan development and Test Infra development.
- Good understanding of HW Architecture and SW stack integration.
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