Jun Zhao
Intel Dry Etch IQ 3 AMAT And LAM Tool Owner at Intel Corporation
Mesa, Arizona, United States
Summary
👤
Senior🎓
Top SchoolJun Zhao is a seasoned equipment and tools engineer with 14 years in semiconductor, sapphire, and solar capital equipment installation, commissioning, and high-level troubleshooting. At Intel he owns Dry Etch tool installs and demos for AMAT and LAM 300mm platforms, coordinating complex electrical, gas, pump and abatement commissioning while leading cross-vendor teams to SL1/2/3 signoffs. Previously he led the rapid deployment and startup of over 2,000 sapphire furnaces and ~1,000 solar furnaces on tight schedules, earning a reputation with customers for delivering under pressure. Technically versatile, Jun pairs hands-on electromechanical expertise and schematic-level troubleshooting with strong planning skills (Primavera) and team training. He also contributes to open-source video driver projects (intel/libva, intel/media-driver), applying his systems-level debugging mindset to improve media acceleration and decoding reliability. Fluent in working with Chinese and Korean teams, he combines practical execution with clear communication across cultures.
14 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree Engineering of Computer, Bachelor’s Degree Engineering of Computer at East China University of Science and Technology
English, Chinese
Github Skills (14)
c1710
video-processing10
debug10
linux10
c-language10
driver10
device-driver10
c1110
cprogramming-language10
vaapi10
video-codec10
decoding10
video-recording9
vp88
Programming languages (4)
Github contributions (5)
intel/libva
May 2017 - Dec 2017
Libva is an implementation for VA-API (Video Acceleration API)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 11 PRs, 24 comments in 7 months
Contributions summary:Jun Zhao contributed to the `intel/libva` repository, focusing on improving video acceleration capabilities. His work involved adding trace information for MB rate control and temporal layers within the VAEncMiscParameterRateControl structure. He also addressed comment errors, added support for the I420 format, updated comments related to FEI, and deprecated the VAEncSliceParameterBuffer. Moreover, he added a missing error status/message map for enhanced debugging.
apiaccelerationvideo-decodingvideo-processingvideo-api
intel/media-driver
Dec 2017 - Oct 2018
Intel Graphics Media Driver to support hardware decode, encode and video processing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:13 commits, 15 PRs, 55 comments in 10 months
Contributions summary:Jun primarily contributed to fixing bugs and improving the Intel media driver. Their work involved correcting errors in video decoding, resolving build warnings, and addressing issues with the handling of reference frames. They also optimized code for various aspects of video processing, including frame rate settings and mutex handling. Additionally, they were involved in updating unit tests and addressing semantic issues in the VC1 decoder.
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