Jhih-Rong Gao

Jhih-Rong Gao has been working in the software engineering and development field since 2007. Jhih-Rong began their career as an R&D Engineer at Synopsys Inc., where they worked on the interface team for DRC/LVS verification tool, integrated the verification tool with several third party layout viewers/editors using script languages, and developed efficient data structures to improve the performance issue for large scale designs. In 2011, they were a Research Intern at Synopsys Inc., where they prototyped routing layer assignment into early physical synthesis flow to improve routing correlation with final detailed routing. From 2012 to 2014, they were a Graduate Intern Technical at Intel Corporation, where they developed a post routing approach to consider design-for-manufacturing issues in industry design flow. From 2014 to 2021, they were employed at Cadence Design Systems, where they worked as a Senior Principal Software Engineer, Principal Software Engineer, and Lead Software Engineer. In their roles, they were responsible for the integration of placement legalizer used by CTS engine through cross-team collaboration, re-implemented placement guidance computation which achieved > 10X runtime saving in large scaled designs, and developed a next generation global routing tool used in Innovus digital implementation and Genus Synthesis tools. Jhih-Rong also developed a placement optimization tool that works between global and detailed placer to further push design wire length and power, for which they were issued one patent and has one pending. In 2009, they were a Teaching Assistant at the University of Texas at Austin. In 2021, they began working as a Senior Principal Software Developer at Flex Logix Technologies, Inc.

Jhih-Rong Gao obtained a Bachelor of Science in Computer Science from National Tsing Hua University in 2005, followed by a Master of Science in Computer Science from the same institution in 2007. In 2009, they earned a Doctor of Philosophy in Electrical and Computer Engineering from The University of Texas at Austin. In October 2020, they obtained a certification in Scrum: Advanced from LinkedIn.