Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in computer or chip architecture.
Experience with semiconductor technologies and trends (i.e., including process, memory, interconnect or packaging).
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or a related field.
Experience with deep learning frameworks including TensorFlow and PyTorch.
Experience with architecting hardware solutions for Machine Learning (ML).
Experience with outreach to ML researchers and application developers.
Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications.