Juexiao Su
About Juexiao Su
Juexiao Su is a Member of Technical Staff at Cerebras Systems, specializing in the development and optimization of algorithms for large language model training. He holds a Ph.D. in Electrical and Computer Engineering from UCLA and has extensive experience in aerospace and software engineering.
Current Role at Cerebras Systems
Juexiao Su has been working at Cerebras Systems as a Member of Technical Staff since 2018. In this role, Su focuses on developing and optimizing algorithms for large language model (LLM) training. This includes expertise in activation offload algorithms, recompute and reverse checkpoint algorithms, and buffer allocation algorithms for LLM pipeline training. Su's contributions are integral to enhancing the efficiency and performance of LLM training processes.
Previous Experience in Research and Engineering
Prior to joining Cerebras Systems, Juexiao Su held several positions in research and engineering. Su worked as a Senior R&D Engineer at Synopsys Inc from 2016 to 2018. Su also served as a Visiting Research Assistant at the Information Sciences Institute in 2013 and 2014, with stints in the Washington D.C. Metro Area and Arlington, VA. Additionally, Su completed a Software Engineer Internship at Synopsys Inc in 2015 and a Mechanical Engineering Internship at MTU Maintenance in 2010.
Academic Background in Aerospace and Engineering
Juexiao Su has a robust academic background in engineering. Su earned a Bachelor's Degree in Aerospace, Aeronautical and Astronautical Engineering from Beihang University from 2007 to 2011. Su then pursued a Master's Degree in the same field at UCLA from 2011 to 2013. Following this, Su completed a Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering at UCLA from 2013 to 2018, further enhancing expertise in engineering disciplines.
Teaching Experience at UCLA
During the academic years from 2013 to 2016, Juexiao Su served as a Teaching Assistant at UCLA. In this role, Su supported undergraduate and graduate students in their studies, contributing to the educational environment within the Aerospace and Electrical and Computer Engineering departments. This experience provided Su with valuable skills in communication and mentorship within an academic setting.