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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Taipei City, Taiwan
就職中
フルタイム / リモートワークに興味あり
6〜10年
國立東華大學
・
國立東華大學
Software Engineer @Nogle Taiwan2017 ~ 2019
・
1年以内
C/C++) Design and refactoring 3D reconstruction project with better design pattern and unit test. Nogle Limited - Style.me , 01 NovJan 2019 Position: Software Engineer in Style.me - Simulation Team Site: https://www.style.me/ ( C++) Write CUDA code to accelerate 3D geometry computation ( C++ ) Develop Multi-View Stereo 3D reconstruction (Python / C++) Use machine learning to create face reconstruction feature (C++) Develop Wrap Deformer to support shoes try on (C++) Develop Maya plugin to help 3D artist
フルタイム / リモートワークに興味あり
4〜6年
Past
Content Specialist @Papyless Co Ltd2018 ~ 2019
・
行銷企劃/社群經營
1ヶ月以内
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
無職
フルタイム / リモートワークに興味あり
4〜6年
世新大學
・
行政管理就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
國立中正大學
・
資訊工程
Director of Integrated Marketing Center @財團法人人工智慧科技基金會2023 ~ 現在
・
PM/產品經理/專案管理
1ヶ月以内
sienna chou Director of Integrated Marketing Center [email protected] project is unique, so solving problems is a constant challenge in project execution. It's like running a 100-meter sprint. Managing products is more like a marathon. After moving into product development, I learned through trial and error that strategic planning is key to a product's lifecycle. Leading the product team in the right direction is most important, even though every step matters. I enjoy thinking and feel I have a severe "information addiction" common in marketing. I won't
就職中
・
就職希望
フルタイム / リモートワークに興味あり
10〜15年
Shih Chien University
・
企業管理系就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
輔仁大學 Fu Jen Catholic University
・
織品設計
Sr. Product Manager & Community Lead @RE:DREAMER Taiwan Co. Ltd2023 ~ 2023
・
Product Manager
3ヶ月以内
Indonesia (remote) Engineering • Led Koomik app (React Native) and website (React) relaunches within 6 months. • Designed and integrated analytics (Mixpanel, Google Analytics). Product Management • Helped formulate product strategy for Koomik as a multi-sided networks platform. • Analyzed comic reader data to design Koomik's homepage, balancing platform-curated and top-trending content. Awards • 2023: Finalist SUPERADVENTURE SUPERPRENEUR Central Java. • 2021: TOP 20 Hetero for Startup Season 2. • 2020: Receiver of Indonesian government incentive. Sr. Technical Product Manager XREX Inc. AugJulyr) Taipei, Taiwan Product Management • Led FATF Travel Rule implementation within 3
就職中
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
國立台灣科技大學 National Taiwan University of Science and Technology
・
Computer Science
XPG品牌行銷副理 @威剛科技股份有限公司2022 ~ 現在
・
專案經理、企劃、行銷
1ヶ月以内
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 /
就職中
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
國立台北教育大學
・
文化創意產業經營學系
跨媒體藝術家－策展人（Transmedia Artist-Curator） @個人（Personal）2020 ~ 現在
・
創意專案企劃、概念視覺設計、數位／科技藝術策展、專題撰稿、藝術專案管理與執行
1ヶ月以内
趙天琳 ZHAO Tian-lin Transmedia Artist-Curator Taipei City, Taiwan 跨媒體藝術家─策展人、XR專案製作人和無藏藝術（Omniverse Art Agency） 負責人。 其藝術創作和探索主題多半涉及人類身體、情感記憶與超驗意識之間的轉化 過程，個體經驗和集體意識之間的交互關係，古老神話原型和靈修知識
就職中
パートタイム / リモートワークに興味あり
4〜6年
實踐大學
・
服裝設計學系 (肄業)
Past
音樂製作 @音樂接案2021 ~ 現在
・
音樂製作人 / 詞曲創作人
1ヶ月以内
林口 十二月十月 2018 學歷東吳大學 音樂系,理論作曲 專長 音樂 作曲、編曲 管弦製作 混音 母帶後期 錄音 採譜、樂譜製作 DAW Pro Tools Cubase Reaper 樂譜製作 製譜軟體： Finale、Sibelius、MuseScore、EOP簡譜 排版： CSP、InDesign 餐飲 店務管理 專業吧台手 飲品設計 咖啡豆烘焙 咖啡技術教育訓練 經歷
無職
フルタイム / リモートワークに興味あり
6〜10年
東吳大學
・
音樂系, 理論作曲最も簡単で効果的な採用プラン
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UI designer -UX
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
現在の状況
就職中
求人検索の進捗
Professions
Software Engineer
Fields of Employment
Information Services
職務経験
1〜2年
Management
なし
スキル
言語
English
・
流暢
Job search preferences
希望のポジション
Software Engineer
求人タイプ
フルタイム
希望の勤務地
台灣台北, 台灣新竹
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立清華大學
専攻
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