Rob Schreiber

Distinguished Engineer @ Cerebras Systems

About Rob Schreiber

Rob Schreiber is a Distinguished Engineer at Cerebras Systems, specializing in AI applications on wafer-scale hardware. He has a strong academic background with degrees from Cornell University and Yale University, and extensive experience in both academia and industry.

Work at Cerebras Systems

Rob Schreiber currently serves as a Distinguished Engineer at Cerebras Systems, a position he has held since 2017. He is based in Los Altos, California. In this role, he focuses on designing and implementing software and systems tailored for artificial intelligence applications on wafer-scale hardware. His expertise contributes to the company's mission of advancing AI technology through innovative hardware solutions.

Education and Expertise

Rob Schreiber holds a PhD in Computer Science from Yale University, where he studied from 1972 to 1977. He also earned an AB in Mathematics from Cornell University, studying there from 1973 to 1976. His educational background provides a strong foundation in mathematical models and analysis, particularly relevant to high performance computing. Schreiber is proficient in programming languages such as Matlab, C, and C++, which he utilizes for technical leadership.

Background

Rob Schreiber has a diverse professional background in academia and industry. He worked as an Assistant Professor at Stanford University from 1979 to 1984 and later served as an Associate Professor at Rensselaer Polytechnic Institute from 1986 to 1988. Prior to joining Cerebras Systems, he spent 22 years as a Distinguished Technologist at Hewlett Packard, where he was based in Palo Alto, California. His career reflects a commitment to advancing technology and engineering.

Achievements

Throughout his career, Rob Schreiber has demonstrated a strong commitment to mentoring in technology and engineering. His expertise in linear algebra and parallel systems has been crucial for high performance computing tasks. Schreiber's extensive experience in designing AI applications on advanced hardware underscores his contributions to the field. His leadership roles and academic positions highlight his influence in both industry and education.

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