Michael Schaffner is an accomplished electrical engineer with extensive experience in hardware design, particularly in the fields of near-memory computing, deep learning, and transprecision computing. Schaffner's career includes postdoctoral research at ETH Zürich, where contributions included supervising students and advancing projects such as "OPRECOMP." Additionally, Schaffner held roles as a Senior Hardware Design Engineer at Google and lowRISC CIC, focusing on project synchronization, top-level verification, and developing fault-tolerant IP blocks. Early career experience includes an engineering internship at super computing systems, where hardware accelerators for computer vision algorithms were designed for driving assistance systems. Academic credentials include a Doctor of Science, Master of Science, and Bachelor of Science in Electrical Engineering and Information Technology from ETH Zürich. Currently, Schaffner is engaged as a TPU Compute RTL Design Engineer at Google.
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