The Senior Emulation Engineer will be part of the Cloud-Scale Machine Learning Acceleration team at Amazon, based in Cupertino, California. This individual will focus on the design and optimization of hardware for AWS data centers, particularly regarding AWS Inferentia, our machine learning inference server. The role entails significant contributions to hardware emulation methodologies aimed at validating and improving our custom-built cloud server infrastructure.
Candidates should have over 8 years of experience in emulation engineering, particularly within post-silicon validation frameworks, and possess strong skills in C/C++ and System Verilog.
Applicants are required to hold a Bachelor’s degree in Electrical Engineering or a related field. Proficiency in coding with C/C++ and System Verilog is necessary, alongside experience in developing functional specifications and test automation frameworks.
A Bachelor’s degree in Electrical Engineering or a related field is mandatory, though a Master’s or Ph.D. is preferred.