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De 4 a 6 años
6-10 años
10-15 años
Más de 15 años
Software engineer
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Presente
・
Software Engineer
En un mes
Empleado
・
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立台灣大學
・
生物產業機電工程所
Director of software R&D department @Phrozen Inc.2024 ~ Presente
・
Software Engineer
En un mes
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
Empleado
・
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
Georgia Institute of Technology
・
Doctor of Philosophy in Structural EngineeringSenior Software Engineer @U-NEXT Co., Ltd.2021 ~ Presente
・
Software Engineer
En un mes
Empleado
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
Nation Taiwan University
・
Bioelectronic and BioinformaticsAI與機器視覺工程師 @群創光電股份有限公司 InnoLux Corporation2022 ~ Presente
・
Software Engineer
En un mes
Empleado
・
No está abierto a oportunidades
A tiempo completo / No está interesado en trabajar a distancia
De 4 a 6 años
國立臺灣科技大學 National Taiwan University of Science and Technology
・
醫學工程
Software engineer
Más de un año
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
Empleado
A tiempo completo / Interesado en trabajar a distancia
10-15 años
中央大學
・
資訊工程
Senior Software Engineer @VEWD Software ASA, Taipei Branch office2021 ~ Presente
・
Software Engineer
En un año
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
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A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立成功大學
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Situación actual
Empleado
Progreso en la búsqueda de empleo
Professions
Software Engineer
Fields of Employment
Information Services
Experiencia laboral
1-2 años
Management
Ninguno
Habilidades
Idiomas
English
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Posición
Software Engineer
Tipo de trabajo
A tiempo completo
Ubicación
台灣台北, 台灣新竹
A distancia
Interesado en trabajar a distancia
Freelance
No.
Educación
Escuela
國立清華大學
Mayor
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