Patrick Wu
Staff Engineer at Western Digital
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPatrick Wu is a Staff Engineer with 15+ years of deep expertise in ASIC and FPGA digital design, RTL development (VHDL, Verilog, SystemVerilog), and full-chip verification and synthesis flows. He has driven complex block and chip-level projects at industry leaders including Intel, Xilinx, Western Digital and SanDisk, specializing in STA, DFx, LEC, CDC, and hands-on RTL regression/debug with tools like Design Compiler, PrimeTime, Spyglass and VCS/Incisiv. Comfortable across backend PNR and DFT flows as well as scripting in Tcl, Shell, C and Perl, he bridges architecture to silicon while improving manufacturability and testability. Beyond core design, he contributes practical documentation to open-source FPGA tooling (PYNQ), helping hardware teams and users get started with Zynq notebooks and overlays. Based in New York and trained at MIT, he combines rigorous academic grounding with a pragmatic track record of shipping silicon and supporting ecosystem adoption.
10 years of coding experience
18 years of employment as a software developer
Master of Engineering Electrical Engineering and Computer Science, Master of Engineering Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyUniversity of California Santa Cruz
Github Skills (5)
jupyter-notebook10
restructuredtext10
documentation10
python8
zynq7
Programming languages (3)
Github contributions (5)
Xilinx/PYNQ
Mar 2016 - Sep 2016
Python Productivity for ZYNQ
Role in this project:
Technical Writer
Technical WriterContributions:39 commits, 2 PRs, 5 pushes in 6 months
Contributions summary:Patrick's contributions primarily focus on creating and adding documentation files, including restructured text (.rst) files and Jupyter notebooks. The commits add documentation for getting started, the audio-video overlay, a glossary, useful reference links and example notebooks. The changes involve adding and modifying documentation to improve user understanding of the Pynq framework on Zynq.
productivityzynqpythonpynq
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