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4〜6年
6〜10年
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15年以上
就職中
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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
4〜6年
RWTH Aachen University
・
Simulation Sciences
Senior Software Engineer @NVIDIA2023 ~ 現在
・
Software Developer
1ヶ月以内
/23 Have been using C++ as my primary programming language for 13 years. Now I follow the latest standards and even technical drafts to write expressive, high performing programs. Familiar with new language features like PMR, coroutines, parallel STL and Transactional Memory. High Performance Computing HPC coding skills. Developed libraries that takes advantage of OpenCL/Vulkan to run on the GPU for performance gain. I also have experience with OpenCL on FPGAs for building DNN accelerators. By extension, I'm also familiar with parallel computing on CPU, is neutral to
就職中
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就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
國立中山大學
・
CSE就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
National United University
・
Electronic Engineering就職中
フルタイム / リモートワークに興味あり
4〜6年
National Cheng Kung University,
・
Statistics
Ingénieur assistant @Institut Camille Jordan de Lyon2014 ~ 2015
・
Informatique
1年以内
Abdoul Wahid Mainassara Doctorant Luxembourg District, Luxembourg Doctorant en informatique dans le domaine de l'optimisation de simulations numérique et du calcul haute performance (HPC). Je suis diplômé en ingénierie des mathématiques appliquées (méthode numérique, équations aux différentielles partielles, statistiques et géophysique). Je suis passionné par l'informatique, les mathématiques et la Formule 1. Langages de programmation : C/C++, Fortran, Python et Java Programmation parallèle : MPI, OpenMP, Cuda C++ Compétences: Calcul scientifique et numérique, Calcul haute performance, Systèmes distribués, Statistiques et Machine learning, Enseignement, Gestion de projet, Fort esprit d'analyse et
就学中
フルタイム / リモートワークに興味あり
4〜6年
Université Claude Bernard Lyon I / Ecole Centrale de Lyon
・
Ingénierie mathématique
Consultant - Analytics @Thoucentric2020 ~ 2021
・
CTO, Director Of IT, IT Architect
1ヶ月以内
Managed File Transfer, Pub-Sub Product, Technology & Vendor Evaluation, Risk management Process Enterprise Architecture Governance, Data Governance Technology Management, Stakeholder Management Quality & Compliance, System & Data Security Non Functional Requirement Management Product Planning and Designing Systems & Solution Architecture Scaled Agile, Scrum, Kanban Technology Microsoft Azure, AWS Cloud, Google Cloud Containerization , Kubernetes Parallel, Distributed & High-Performance Computing Cloud-Native Design and Azure Data Lake, HD Insights Mainframe Systems, COBOL Python, Databricks, Scikit-learn, Tensorflow System Design, API Design, REST, Middleware Terraform, Pulumi, Argo Work Experience Sr. Solution Architect Kimberly Clark, Data and Analytics • JulyCurrent Lead Architect for MLOps Platform : In-house
就職中
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10〜15年
Dr. MGR Educational and Research Institute
・
Computer Science
Software Engineer @Nogle Taiwan2017 ~ 2019
・
1年以内
Paper Award 2016 IEEE International Conference on Applied System Innovation (IEEE ICASIBest Paper Award。authors：Cheng-Chieh Li、Chu-Hsing Lin、Jung-Chun Liu。Paper title：Parallel Genetic Algorithms on the GPU Using Island Model and Simulated Annealing. Ministry of Science and Technology students scholarships A research scholarships for undergraduate research plan. IDB Golden Penguin Award This competition is host by IDB, and our project - UniMOTA won the second place. Publication Chu-Hsing Lin, Jung-Chun Liu and Cheng-Chieh Li , "Parallel Modulus Operations in RSA Encryption by CPU/GPU Hybrid Computation," The ...
フルタイム / リモートワークに興味あり
4〜6年
Senior Director - FP&A and Biz Fin Head @Cuelearn Pvt Ltd. (Cuemath)2022 ~ 現在
・
3ヶ月以内
Rohit Rungta Bengaluru, Karnataka, India Result-oriented Finance Professional with 12 years of experience in creating Annual Operating Plans (AOP), Finance Planning and Analysis, Entity Controller, Automation, Fraud Investigation and Business Divestiture. Demonstrated a track record of building good corporate governance, completing projects on time and building compliant processes. PhoneEmail - [email protected] Cue Learn (Cue Math) Pvt. Ltd. (December'22 to Present) Senior Director - FP&A Head Setting up FP&A function & processes for the company - hiring and nurturing new team members Collaborating with the Strategy team to create Board Presentations
フルタイム / リモートワークに興味あり
10〜15年
The Institute of Chartered Accountants of India
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Finance & Accounting最も簡単で効果的な採用プラン
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Definition of Reputation Credits
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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.
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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
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スキル
言語
English
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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