google > google Employee Directory > Hongwen Dai
hongwen-dai-93535472
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Hongwen Dai
Senior Software Engineer
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Location: San Francisco Bay AreaApprox. Years of Experience: 8
Hongwen Dai's Current Workplace
Google
Company Size
2500+
Amount Raised
$26.1M
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.\n\nCheck out our career opportunities at goo.gle/3DLEokh
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Notable Investors
Sequoia Capital, Jeff Bezos, Kleiner Perkins, Andy Bechtolsheim, Ram Shriram
Google
UX Design
Product Management
Software Engineering
Experience
Senior Software Engineer
Google · Full-time
Jul 2022 - Present
3 yrs 1 mo
Current: ML-based code optimization to improve fleet efficiency. Previous: SW/HW co-design for ML platforms
SWE, Interactive Media Group - GPUSW
Apple · Full-time
May 2017 - Jul 2022
5 yrs 3 mos
Conducted performance analysis to identify SW/HW inefficiencies/bottlenecks and created models to predict performance of use cases and SoCs for future products, e.g. iPhone/iPad/Mac/VisionPro.
Research Assistant
North Carolina State University
Aug 2012 - Apr 2017
4 yrs 9 mos
Ph.D student in North Carolina State University Conducted research on performance optimization of GPGPU, with a focus on the memory subsystem.
Intern, Interactive Media Group - GPUSW
Apple · Internship
Jun 2016 - Dec 2016
7 mos
Designed and implemented an event driven SoC power simulator. Explored counter-based GPU performance modeling.
Oak Ridge National Laboratory · Internship
Jun 2014 - Aug 2015
Co-op
Jan 2015 - Aug 2015
8 mos
Conducted research on optimizing GPU cache performance.
Summer Intern
Jun 2014 - Aug 2014
3 mos
Conducted research on GPU cache bypass.
Senior Software Engineer
Google · Full-time
Jul 2022 - Present
3 yrs 1 mo
Current: ML-based code optimization to improve fleet efficiency. Previous: SW/HW co-design for ML platforms
SWE, Interactive Media Group - GPUSW
Apple · Full-time
May 2017 - Jul 2022
5 yrs 3 mos
Conducted performance analysis to identify SW/HW inefficiencies/bottlenecks and created models to predict performance of use cases and SoCs for future products, e.g. iPhone/iPad/Mac/VisionPro.
Research Assistant
North Carolina State University
Aug 2012 - Apr 2017
4 yrs 9 mos
Ph.D student in North Carolina State University Conducted research on performance optimization of GPGPU, with a focus on the memory subsystem.
Intern, Interactive Media Group - GPUSW
Apple · Internship
Jun 2016 - Dec 2016
7 mos
Designed and implemented an event driven SoC power simulator. Explored counter-based GPU performance modeling.
Co-op
Oak Ridge National Laboratory · Internship
Jan 2015 - Aug 2015
8 mos
Conducted research on optimizing GPU cache performance.
Education
  • 2012 - 2017
    North Carolina State UniversityPh.D. Student, Computer Engineering
  • 2009 - 2012
    Zhejiang UniversityM.S., Integrated Circuit Design
  • 2012 - 2017
    North Carolina State UniversityPh.D. Student, Computer Engineering
  • 2009 - 2012
    Zhejiang UniversityM.S., Integrated Circuit Design
  • 2005 - 2009
    Zhejiang UniversityB.E., Electrical Engineering