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Software Engineer @Klarna
2019 ~ 2023
Software Engineer
Within one month
JavaScript
Node.js
React.js
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
RWTH Aachen University
Simulation Sciences
Avatar of 張安邦.
Avatar of 張安邦.
Senior Software Engineer @NVIDIA
2023 ~ Present
Software Developer
Within one month
/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
C++
OpenCL
Parallel Computing
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學
CSE
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Avatar of the user.
Software Engineer @Wipro Limited
2021 ~ Present
Embedded Software Engineer
Within one month
Linux
Embedded Systems
Real-Time Operation System (RTOS)
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National United University
Electronic Engineering
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Avatar of the user.
Senior Data Engineer @Microsoft
2021 ~ Present
資料科學家、資料工程師、資料分析師
Within one month
R
Python
C++
Employed
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University,
Statistics
Avatar of Abdoul Wahid Mainassara.
Avatar of Abdoul Wahid Mainassara.
Ingénieur assistant @Institut Camille Jordan de Lyon
2014 ~ 2015
Informatique
Within one year
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
Analyse de données
Statistiques
Calcul scientifique
Studying
Full-time / Interested in working remotely
4-6 years
Université Claude Bernard Lyon I / Ecole Centrale de Lyon
Ingénierie mathématique
Avatar of Akarsh Verma.
Avatar of Akarsh Verma.
Consultant - Analytics @Thoucentric
2020 ~ 2021
CTO, Director Of IT, IT Architect
Within one month
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
Solution Architecture
Business Analysis
statistical analysis
Employed
Full-time / Interested in working remotely
10-15 years
Dr. MGR Educational and Research Institute
Computer Science
Avatar of Jake Lee.
Avatar of Jake Lee.
Software Engineer @Nogle Taiwan
2017 ~ 2019
Within one year
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 ...
C++
Python
Golang
Full-time / Interested in working remotely
4-6 years
Avatar of Rohit Rungta.
Avatar of Rohit Rungta.
Senior Director - FP&A and Biz Fin Head @Cuelearn Pvt Ltd. (Cuemath)
2022 ~ Present
Within three months
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
MIS Reporting
Strategic Planning
Preparation Of Reports
Full-time / Interested in working remotely
10-15 years
The Institute of Chartered Accountants of India
Finance & Accounting

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Within one month
Senior Software Engineer
Logo of Synopsys.
Synopsys
2022 ~ Present
台灣新竹
Professional Background
Current status
Employed
Job Search Progress
Professions
Software Engineer
Fields of Employment
Information Services
Work experience
1-2 years
Management
None
Skills
C
C++
Golang
Kubernetes
Docker
Distributed Systems
Machine Learning
Deep Learning
Tensorflow
Keras
Parallel Computing
CUDA
Compiler
Algorithm
Cloud Computing
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
Print

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

Voda Scheduler

Feb. 2021 - Nov. 2022

 https://github.com/heyfey/vodascheduler  

(30+ stars)

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

Resume
Profile

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

Voda Scheduler

Feb. 2021 - Nov. 2022

 https://github.com/heyfey/vodascheduler  

(30+ stars)

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