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6 à 10 ans
10 à 15 ans
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Past
Staff Software Engineer @VicOne (A subsidiary of Trend Micro)2021 ~ 2023
・
軟體工程師
Dans 1 mois
Zac Sung (宋凡宇) 9 years of software development experience Familiar with embedded Linux, C++/C/Python programming Familiar with Agile software development process Experienced in test automation Interested in problem-solving with different approaches Interest and ability to learn other coding languages/technique as needed Taipei City, Taiwan [email protected] Zac SungEXPERIENCE Staff Software Engineer • VicOne (A subsidiary of Trend Micro ) SepNov 2023 | 2 yrs 3 mos Developed Secure OTA (Over-the-Air) Update related functions on Linux-based and Android-based systems. Improved automotive software update security and
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
Yuan Ze University
・
Electrical Engineering (Group: Digital Technology)
GNSS Algorithm Engineer @Airoha Technology Corp.2018 ~ Présent
・
資深軟/韌體工程師
Dans 1 mois
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Cheng Kung University
・
Aeronautical and Astronautical EngineeringTemps plein / Je ne suis pas intéressé par le travail à distance
6 à 10 ans
交通大學
・
資訊工程Software Engineer @Wipro Limited2021 ~ Présent
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Embedded Software Engineer
Dans 1 mois
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National United University
・
Electronic Engineering
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ Présent
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全端工程師、後端工程師、前端工程師、軟體專案主管、AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Dans 1 mois
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Taiwan Ocean University
・
Computer science and engineering
Freelancer @Artkernel2018 ~ Présent
・
Network Architect
Dans 1 mois
許哲誠 I have been working on information technology for over 15 years, mostly I am engaged in products development, and I enjoy the experience of developing products from zero to one. Since I have experienced in many technical fields, including embedded system, android, ios, advertisement delivery engine and web application development, I can clarify the problem even for the products integrated various departments, which reduces the unnecessary consumption (communication cost) for the company, and ensure the product is on its process as the schedule planned. Due to the desire for new technology, I still follow and
Prêt à l'interview
Temps plein / Uniquement Travail à distance
10 à 15 ans
Ming Chi University of Bachelor
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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.
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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
Statut Actuel
Employé
Progrès de la Recherche d'Emploi
Professions
Software Engineer
Fields of Employment
Information Services
Expérience Professionnelle
1 à 2 ans
Management
None
Compétences
Langues
English
・
Courant
Job search preferences
Position Désirée
Software Engineer
Type d'emploi
Temps plein
Lieu Désiré
台灣台北, 台灣新竹
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
國立清華大學
Spécialisation
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