Job Title
Computer Architect, System Software Engineer
About Me
Hi, I’m Jaewon, a 6th-year CS Ph.D. student at Georgia Tech, supervised by Professor Hyesoon Kim.
I am enthusiastic about finding the optimal architecture to ensure security.
In particular, I am interested in providing memory safety through hardware/software co-designed methods.
I also worked as an SoC Platform Architect with over 4 years of experience in productizing 11+ SoCs (System-on-Chips) for the Mobile, Automotive, and IoT markets, focusing on PPA analysis,
followed by more than 3 years of experience in performance evaluation on SoCs.
Highlighted Research Publication
•Jaewon Lee, Y Kim, J Cao, E Kim, J Lee, and Hyesoon Kim. 2022. Securing GPU via region-based bounds checking. In
Proceedings of the 49th Annual International Symposium on Computer Architecture (ISCA ‘22). Association for
Computing Machinery, New York, NY, USA, 27–41. Nominated for the Best Paper Award.
Work Experience
- Samsung Electronics, S.LSI Division, Sep 2014 – Aug 2019
- SoC Architect
- Evaluated PPA impact of newly introduced storage and interface components such as UFS, PCIe, USB.
- Awards: Selected for the Ph.D Fellowship program which is awarded to one out of 9000 employees.
- Samsung Electronics, S.LSI Division, Aug 2012 – Aug 2014
- Performance Evaluation Software Engineer
- Conducted the performance evaluation for next-gen SoC by utilizing performance simulator.
- Identified optimal design parameters, such as reorder buffer size, Quality of Service (QoS) level on NoC
- LG Electronics, South Korea May 2010 – Mar 2012
- System Software Engineer
- Conducted the board bring-up with a TV SoC chip, addressing system-level issues through collaboration with hardware and software developers.
- Achieved a 20% speed-up in system booting time by loop unrolling and rescheduling the OS kernel module initialization sequence.
- Managed the software infrastructure, overseeing software version control and the compiling framework.
EDUCATION
- Aug 2019 – Present: CS Ph.D. @ Georgia Institute of Technology
Topic: HW/SW codesign for Secure GPU Architecture
- Aug 2022 – Jul 2024: CS M.S. (Specialized in Machine learning)