HYUNJIN CHUNG
System Software Engineer @ (주)우아한형제들 (Woowa Bros.)
About
Skills- Major: Computer Architecture (GPU)- Programming: C, C++, Python, CUDA, ARM Assembly, Shell Scripting (Bash)- platform: * NVIDIA Jetson (AGX Xavier, AGX Orin, Orin NX) * ARM Cortex (M0, M7, R8) * In-house SSD SoC (SK Hynix PC801, PC811)- Debugging tools: * Perf, GDB, Address Sanitizer * Trace32, PCIe Protocol Analyzer- Protocols & I/O: NVMe, PCIe, Data Path Protection- Performance Optimization: ROS 2-based Autonomous Driving System, SSD I/O Path, CUDA-based Parallel Simulation
South Korea
Gyeonggi
Information Technology & Services
Robot Operating System (ROS), GDB, Perf, Shell Scripting, Trace32, Protocol Analyzer, Solid-State Drive (SSD), Firmware, ARM, ROS 2, DDS, FastDDS, Linux, ROS2, Graphics Processing Unit, gpu, wireless simulation, Field-Programmable Gate Arrays (FPGA), NVM Express (NVMe), PCIe
Experience

System Software Engineer
서울, 대한민국
ROS 2 based Autonomous Delivery Robot System Software Development - Optimized high-bandwidth sensor data communication by utilizing ROS 2 intra-process and zero-copy communications, ensuring real-time, lossless data communications. - Architected and implemented a robot software framework with a primary focus on operational safety and system efficiency. - Implemented a continuous storage system for massive sensor datasets. - Configured NVIDIA Jetson-based Linux system including system image management. - Developed a robot software deployment tool. - Analyzed and resolved various system issues.

Firmware Engineer
대한민국 경기도 성남시
Next-Generation SSD Firmware Development - Developed an Adaptive Read Ahead algorithm, improving PCMark10 Storage score, achieving a world-leading benchmark result. - Improved SSD performance across diverse workloads and benchmark tests. - Published a technical paper at the 2022 SK hynix Technical Conference and filed 3 patents (1 strategic). Platinum P41 SSD Firmware Development - Designed a hardware-independent Host Interface Layer (HIL) platform. - Developed advanced I/O functions on ARM Cortex M7/R8 firmware and in-house SSD controller. - Optimized I/O performance by tuning workloads, NAND, hardware, and cache usage (read look ahead). - Develope assembly-level code for in-house hardware accelerators. - Achieve industry-leading PCMark10 Storage benchmark score with high performance.
Education

Electrical and Electronics Engineering
Major: GPU Architecture / CUDA Thesis: Multi GPU based Ray Tracing Simulation for Radio Propagation Prediction - Designed a workload balancing strategy tailored to ray tracing characteristics in multi-GPU environments, demonstrating near-linear performance scaling. Projects 1. GPU-based 5G High Performance Wireless Communication Simulation Framework Development - Accelerated large-scale 5G simulations by leveraging GPU computing to calculate signal propagation across complex terrain data. - Maximized GPU compute throughput by minimizing branch and memory access divergence. - Achieved a 4.4x speedup over baseline GPU parallelization. 2. Development of Multi-GPU Based High Speed Ray-Tracing Engine - Minimized computational overhead in massive terrain environments by space division approach. - Optimized GPU thread occupancy by utilizing a stackless tree traversal algorithm tailored for GPU. - Delivered a 29x performance leap compared to the baseline.
HYUNJIN CHUNG's Contact Information
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