Mingjie Liu
Research Scientist at NVIDIA
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolMingjie Liu is a research scientist at NVIDIA with eight years of experience applying machine learning to design automation and layout optimization for analog and mixed-signal integrated circuits. He holds a PhD in Electrical and Computer Engineering from UT Austin, an MS from the University of Michigan (4.0 GPA), and a BS in Microelectronics from Peking University. Mingjie bridges rigorous academic training with industry research, translating advanced ML techniques into practical EDA solutions. Based in Austin, he focuses on automating complex layout tasks where domain-specific constraints and data-driven models intersect. Notably, his profile reflects a blend of deep microelectronics expertise and strong ML fluency, enabling cross-disciplinary innovation in IC design flows.
8 years of coding experience
Master of Science (M.S.), Electrical and Computer Engineering, 4.0, Master of Science (M.S.), Electrical and Computer Engineering, 4.0 at University of MichiganDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of Texas at AustinBachelor of Science (B.S.), Microelectronics, 3.7, Bachelor of Science (B.S.), Microelectronics, 3.7 at Peking University
Chinese, English
Github Skills (24)
layout10
prediction8
placement8
bayesian7
python-bindings7
stream6
optimization6
cad5
brep5
machine-learning5
python5
pytorch5
translation4
eda4
computer-graphics3
Programming languages (2)
Github contributions (5)
magical-eda/MAGICAL
Dec 2018 - Mar 2022
Contributions:105 commits, 15 PRs, 27 pushes in 3 years 3 months
analoglayout
magical-eda/OpenSAR
Aug 2021 - Dec 2021
Contributions:4 commits, 3 pushes, 1 branch in 4 months
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