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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
Employed
Full-time / Interested in working remotely
6-10 years
國立東華大學
・
國立東華大學Full-time / Interested in working remotely
4-6 years
Past
Content Specialist @Papyless Co Ltd2018 ~ 2019
・
行銷企劃/社群經營
Within one month
下Quadro 系列相較於需要大量運算的專業用戶來說應當不陌生，筆者手上這張Quadro P620 為入門款繪圖卡，搭載著NVIDIA Pascal GPU 架構與512 CUDA 運算處理核心，至於實際使用情形為何就讓本人親自開箱給大家參考囉！ pqi iConnect mini 64GB USB iConnect mini係由正崴集團 PQI研發iStorage系列
Unemployed
Full-time / Interested in working remotely
4-6 years
世新大學
・
行政管理
XPG品牌行銷副理 @威剛科技股份有限公司2022 ~ Present
・
專案經理、企劃、行銷
Within one month
陳怡珊 I-Shan, Chen 雷亞遊戲股份有限公司 Team Leader / 專案經理 國立台北教育大學 文化創意產業經營學系 畢業 新北市板橋區 7~8年工作經驗 專案管理 | 整合行銷 | 活動企劃 | 藝術行政 Project Manager | Global Event Coordinator | Marketing Specialist | Arts Administrator Contact：[email protected] New Taipei City, Taiwan 核心技能 部門領導 /
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立台北教育大學
・
文化創意產業經營學系Past
KKNOW (直播平台) 產品營運 @KKBOX 願境網訊股份有限公司2021 ~ 2021
・
Content Curator、Digital Marketing Specialist、Social Media Marketing Specialist
Within one month
Unemployed
Full-time / Interested in working remotely
4-6 years
國立陽明交通大學
・
傳播與科技學系
Past
Marcom @Ewellix2020 ~ 2021
・
Content Curator、Digital Marketing Specialist、Social Media Marketing Specialist
More than one year
陳姵君 Marketing Specialist Taiwan Province, Taiwan With around 8 years of media and marketing experience specializing in and 7 years of overseas work experience. Nominated Singapore Star Awards "The Best Promo" twice. Produced more than 100 trailers, participated in over 50 events, and wrote hundreds of press releases and copywriting. GA | SEO | SEM | Social media | Copywriting | Press Release | Graphic Design | Editing | Coordinating 工作經歷 Marcom Ewellix 八月二月 2021Taipei, Taiwan 擔任行銷企劃，主要負責年度行銷規劃，預算控制，社
Unemployed
Full-time / Interested in working remotely
4-6 years
Udemy線上教學平台
・
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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
Current status
Employed
Job Search Progress
Professions
Software Engineer
Fields of Employment
Information Services
Work experience
1-2 years
Management
None
Skills
Languages
English
・
Fluent
Job search preferences
Positions
Software Engineer
Job types
Full-time
Locations
台灣台北, 台灣新竹
Remote
Interested in working remotely
Freelance
No
Educations
School
國立清華大學
Major
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