Marvin Tom
About Marvin Tom
Marvin Tom is the Vice President of Software Engineering at Cerebras Systems, where he has been leading software development since 2023. He has extensive experience in software engineering, having previously held leadership roles at Xilinx and Intel Corporation.
Work at Cerebras Systems
Marvin Tom currently serves as Vice President of Software Engineering at Cerebras Systems, a position he has held since 2023. In this role, he leads the development of the software stack for the company's machine learning accelerator, contributing to advancements in artificial intelligence and high-performance computing. Prior to this role, he was the Senior Director of Software Engineering at Cerebras Systems from 2019 to 2023, where he played a significant part in shaping the software architecture and engineering processes.
Education and Expertise
Marvin Tom holds a Bachelor of Applied Science (B.ASc) in Computer Engineering from Simon Fraser University, where he studied from 1997 to 2002. He furthered his education at The University of British Columbia, earning a Master of Applied Science (M.ASc) in Computer Engineering from 2003 to 2006. His educational background provides a strong foundation for his expertise in software engineering and development, particularly in the field of programmable solutions.
Background
Marvin Tom has extensive experience in software engineering, particularly in the development of FPGA compilers. He worked at Xilinx as Director of Software Engineering from 2006 to 2017, where he led teams in the development of the Vivado FPGA compiler. Following his tenure at Xilinx, he joined Intel Corporation as Director of Software Engineering in the Programmable Solutions Group from 2017 to 2019, where he continued to enhance his skills in software development for programmable devices.
Achievements
Throughout his career, Marvin Tom has led development teams for significant software projects, including the Xilinx Vivado FPGA compiler and the Intel Quartus FPGA compiler. His leadership in these roles has contributed to advancements in software tools that support complex hardware design and machine learning applications. His recent work at Cerebras Systems focuses on creating software solutions that optimize the performance of their machine learning accelerator.