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4 到 6 年
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Software engineer
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 现在
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Software Engineer
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學
・
生物產業機電工程所
Director of software R&D department @Phrozen Inc.2024 ~ 现在
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Software Engineer
一個月內
Max Shih A math enthusiast and geeky computer vision algorithm engineer. Director, Software R&D Department Phrozen Inc., Taipei, TW [email protected] Skills Dev Tools C & C++ Python Version Control TortoiseSVN / Git Computer Vision 3D Scanner Development SLAM Open3D GUI Program Framework Qt + OpenGL / ImGui Math Statistics Optimizations Advanced Calculus Complex Analysis Topology / Tensor / Metric Spaces Theory Professions Algorithm developments Software project & team management Deep Learning Keras + TensorFlow OpenCV Languages Mandarin Chinese Taiwanese English, TOEIC 945 Work Experience Director of Software R&D Department, Feb 2024 ~ now
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Georgia Institute of Technology
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Doctor of Philosophy in Structural Engineering就职中
全职 / 对远端工作有兴趣
4 到 6 年
Nation Taiwan University
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Bioelectronic and Bioinformatics就职中
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目前没有兴趣寻找新的机会
全职 / 暂不考虑远端工作
4 到 6 年
國立臺灣科技大學 National Taiwan University of Science and Technology
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醫學工程
Software engineer
超過一年
Kai-Kai Hsu Software Engineer • Taipei，TW • [email protected] •With 10+ years experience of image processing algorithm development, engaged in the developments of below software features : Filmora, PowerDirector, PhotoDirector, YouCam Perfect (App) and YouCam Makeup (App), mainly involved in the algorithm designings of image processing, computer vision, pattern recognition, machine learning(SVM, regression). Capable of performance tunning (Multithread, SIMD, NEON), cross-platform development, including Window, Mac, Unix, iOS, and Android systems. Skills Programming Development C++ (mainly) Objective C (elementary) iOS development Java, JNI (elementary) Android development Library OpenCV effekseer clapack
就职中
全职 / 对远端工作有兴趣
10 到 15 年
中央大學
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資訊工程
Senior Software Engineer @VEWD Software ASA, Taipei Branch office2021 ~ 现在
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Software Engineer
一年內
謝啟宏 你好，我現在任職於廣達電腦股份有限公司。主要使用的語言為C/C++在Windows和ubuntu上進行開發。參與過機器手臂輔以3D視覺之流水線自動化專案、工廠內使用AGV(Automatic Guided Vehicle)進行倉儲及貨運之專案之開發與維護。 Hi, I am working in Quanta Computer corp. I mainly
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立成功大學
・
自動化控制最轻量、快速的招募方案，数百家企业的选择
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问题解决能力
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变通能力
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沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
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团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
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专业背景
目前状态
就职中
求职阶段
专业
软体工程师
产业
资讯服务
工作年资
1 到 2 年
管理经历
无
技能
语言能力
English
・
进阶
求职偏好
希望获得的职位
Software Engineer
预期工作模式
全职
期望的工作地点
台灣台北, 台灣新竹
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立清華大學
主修科系
Computer Science
謝宗佐 (Tsung-Tso Hsieh)
[email protected] https://github.com/heyfey https://www.linkedin.com/in/tthsieh
(+886)975-923-670
Experience
Synopsys Inc.
Jan. 2022 - Present
Senior Software Engineer
VCS - Verilog Compile Simulator
C++, C, Compiler Optimization, Parallel Computing, Python
- Developed and supported debug functionality for SystemVerilog compile simulator
- Parallelized design traversal in FSDB waveform dumping, speeding up runtime by 3x with multithreading
- Optimized FSDB gate-data loading and reduced 10-60% runtime memory footprint, benefiting customers running hundreds-of-GB designs with tight memory budgets
- Initiated a project to migrate STL hash tables to Abseil Swiss tables for a millions-line code base, reducing up to 70% peak memory usage and speeding up hash table queries by 100%
- Debugged and resolved urgent customer issues in tight timelines (< 1 day TAT) with limited information, tools, and access to the environment
MediaTek Inc.
July 2020 - Aug. 2020
Software Engineer Intern
C, Python, Machine Learning
- Designed memory management algorithm & firmware for real-time embedded system
- Introduced machine learning and data visualization to automate issue analysis, saving 90% of human effort
Projects
GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster
Golang, Python, Distributed Systems
- Architected and built a GPU scheduler using microservices architecture on top of Kubernetes and various open-source projects
- Sped up overall training time by 2.38x and increased cluster utilization by 1.4x with
- State-of-the-art scheduling algorithms with resource elasticity
- Topology-aware scheduling & worker migration to consolidate resources
- Designed and implemented heterogeneous scheduling, auto-scaling, and fault-tolerant mechanisms for the system
Publication
Tsung-Tso Hsieh, Che-Rung Lee: "Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Clusters", in IEEE International Conference on Cloud Engineering (IC2E), 2023
Education
National Tsing Hua University
Computer Science, M.S.
SCOPE Lab (Scientific Computing On Parallel Environment)
2019 - 2021
National Tsing Hua University
Double Major in Law and Computer Science, B.S.
2014 - 2018
謝宗佐 (Tsung-Tso Hsieh)
[email protected] https://github.com/heyfey https://www.linkedin.com/in/tthsieh
(+886)975-923-670
Experience
Synopsys Inc.
Jan. 2022 - Present
Senior Software Engineer
VCS - Verilog Compile Simulator
C++, C, Compiler Optimization, Parallel Computing, Python
- Developed and supported debug functionality for SystemVerilog compile simulator
- Parallelized design traversal in FSDB waveform dumping, speeding up runtime by 3x with multithreading
- Optimized FSDB gate-data loading and reduced 10-60% runtime memory footprint, benefiting customers running hundreds-of-GB designs with tight memory budgets
- Initiated a project to migrate STL hash tables to Abseil Swiss tables for a millions-line code base, reducing up to 70% peak memory usage and speeding up hash table queries by 100%
- Debugged and resolved urgent customer issues in tight timelines (< 1 day TAT) with limited information, tools, and access to the environment
MediaTek Inc.
July 2020 - Aug. 2020
Software Engineer Intern
C, Python, Machine Learning
- Designed memory management algorithm & firmware for real-time embedded system
- Introduced machine learning and data visualization to automate issue analysis, saving 90% of human effort
Projects
GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster
Golang, Python, Distributed Systems
- Architected and built a GPU scheduler using microservices architecture on top of Kubernetes and various open-source projects
- Sped up overall training time by 2.38x and increased cluster utilization by 1.4x with
- State-of-the-art scheduling algorithms with resource elasticity
- Topology-aware scheduling & worker migration to consolidate resources
- Designed and implemented heterogeneous scheduling, auto-scaling, and fault-tolerant mechanisms for the system
Publication
Tsung-Tso Hsieh, Che-Rung Lee: "Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Clusters", in IEEE International Conference on Cloud Engineering (IC2E), 2023
Education
National Tsing Hua University
Computer Science, M.S.
SCOPE Lab (Scientific Computing On Parallel Environment)
2019 - 2021
National Tsing Hua University
Double Major in Law and Computer Science, B.S.
2014 - 2018