Web 開發工程師(土城)_S

開發AI模組以支援智慧城市應用場景（如客服、預測、流程優化），並進行模型部署與測試。 

1. 熟悉Python與深度學習框架（如PyTorch、TensorFlow） 

2. 具備ML/DL模型部署經驗 

3. 熟悉MLOps與雲端運算平台 

4. 有實務專案經驗尤佳

1.應對客戶需求，進行新產品的軟體/硬體驗證 

2.指導與管理團隊，分配測試任務並監控進度 

3.根據客戶要求，制定測試計劃、測試策略與測試範圍 

4.監督測試用例的設計與執行，分析測試結果，追蹤Bug並推動問題修復 

5.推動測試流程改進，提高整體測試效率

1、具有Web程式開發經驗。 

2、會使用Javascript、CSS、HTML5 

3、有相關前端framework經驗 ex：vue.js、flutter 

4、熟悉RWD、排版、網頁架構

1. HPC/AI 網路系統設定與管理 

2. HPC/AI 網路測試與佈署程式開發 

3. HPC/AI 網路效能分析 

3. HPC/AI 網路架構規劃

1. Server platform BMC development, validation, debugging. 

2. BMC requirements implementation and issues fixed. 

3. Project handle and collaborate with customer and cross-functional teams.

＜About this job＞ 

You will join an advanced artificial intelligence department as the need for Al model solutions rapidly grows. We are expanding our team and looking for a talented Full-Stack Engineer passionate about building highly interactive applications and scalable backend systems for various use cases and expanding their tech skillset in this world-class company. 

＜Job Description＞ 

As a Full-Stack Engineer, you will play a crucial role in designing, developing, and maintaining both the frontend and backend of our applications. You’ll be responsible for creating user-friendly web interfaces, developing robust backend APIs, and ensuring seamless deployment and service integration. If you‘re proactive, team-oriented, have strong problem-solving skills, and enjoy building reusable and scalable code, we’d love to meet you! 

＜Key Responsibilities＞ 

- Develop responsive and interactive frontend web applications using JavaScript and Vue.js. 

- Design and implement backend APIs to support frontend and other interfaces using Java, Python, and related technologies. 

- Build applications and schedule tasks based on client and project requirements. 

- Design and implement modular, high-flexibility components and scalable systems to maximize code reusability and adaptability. 

- Set up and configure essential services such as databases, NginX, and Docker environments. 

- Ensure smooth deployment processes by utilizing CI/CD concepts and automation. 

- Collaborate closely with team members to improve workflows and optimize the development cycle. 

＜Required Skills＞ 

- Frontend: Strong proficiency in JavaScript and Vue.js with experience in building dynamic and interactive UIs. 

- Backend: Solid understanding of Java and Python for API development. 

- Databases: Experience working with SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). 

- Software Design: Proven expertise in creating modular, reusable code with high adaptability and flexibility for scalability. 

- Tools and Technologies: 

。Docker and Git for containerization and version control. 

。NginX for web server configuration and management. 

。Familiarity with CI/CD concepts and automation techniques to streamline deployments. 

- Soft Skills: Strong communication skills and a team player, able to collaborate effectively across departments. 

- System Architecture: Understanding of distributed systems and hardware architecture concepts.

1、負責軟體之分析、設計及程式撰寫。 

2、系統異常問題處理及日常維護。 

3、提供生產產線技術性支援及解決產線異常。 

4、進行跨部門溝通及合作。

1. 制定自動化設備視覺應用改進完善方案 

2. 視覺應用工作整體把控 

3. 機器視覺方案設計及可行性分析 

4. 自動化機器視覺算法設計及開發 

5. 與客戶檢討設備方案及驗證狀況改善推動 

6. 有良好的帶隊能力或專案驅動力

1. 伺服器BMC韌體設計開發 

2. 既有專案維護 

3. 跨單位技術上的溝通探討 

4. 了解客戶需求與熟悉產品規格

1. Embedded Linux development on ARM/MIPS SOCs.  

2. Linux technology and GNU tool chains. 

3. Experience of developing device drivers or kernel modules.  

4. Cloud Server, Storage Server, Data Center Server & Micro Server firmware development.

1. Lead the lead of firmware team for server project.  

2. Study technical issue for project‘s needs. 

3. Review & sign off requirement specification. 

4. Review engineer design. 

5. Review function/interface specification. 

6. Review bug fixing. 

7. Help the design and review the common definitions for debugging and profiling.

您將共同進行以下工作項目:  

1. DPU 韌體開發  

2. NVMe over RDMA系統分析與設計  

3. 分散式網路儲存系統效能優化  

4.開源軟體開發與測試  

5. Redfish API開發維護

＜About the job＞： 

The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you‘ll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). 

＜Job Description＞：  

．Design, implement and refine advanced Statistical Modeling/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields) 

．Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements.  

．Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc.  

．Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, etc.  

．Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. 

．Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. 

＜Skills＞ 

．Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. 

．Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus).  

．Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics.  

．Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. 

．Big on finding the many insights based on the data and being passionate and patient about working with complex data.

協助開發跨平台應用程式 (APP/Web) 與後端 API 服務；參與軟體專案的需求訪談、功能開發與規格文件彙整。配合執行 CI/CD 自動化整合測試與程式碼審閱，支援應用 AI 模型進行任務自動化之專案實踐，並學習撰寫高品質的技術佈署文件 (TDD)。 

Assist in developing cross-platform apps and backend APIs. Participate in requirement gathering and technical specification compilation. Support CI/CD automated testing and code reviews. Collaborate on projects utilizing AI models for task automation and learn to author high-quality Technical Deployment Documents (TDD).

協助全球 AI 算力平台架構的環境佈署與配置作業；參與雲端服務資源的日常維運、自動化資源分配之參數設定及性能監控。配合利用容器化技術 (Docker/K8s) 進行效能瓶頸初步排查，支援優化 MLOps 工作流並協助撰寫技術維護文件。 

Assist in environmental deployment and configuration of global AI computing platforms. Participate in daily operations of cloud resources and parameter setting for automated resource allocation. Support initial performance troubleshooting using container technologies (Docker/K8s) and help optimize MLOps workflows and documentation.

負責產品：網路交換機/網卡 

主要職責： 

1.架設與維護自動化測試機台，確保系統穩定與可擴充性 

2.開發與維護測試腳本（Shell Script、Python），提升測試效率 

3.在 Linux 平台上進行系統安裝、配置與效能調校 

4.整合測試工具與框架，支援持續整合 (CI/CD) 流程 

5.分析測試結果，撰寫報告並提出改善建議 

6.與研發團隊合作，設計並優化測試流程 

7.支援越南工廠測試平台建置與維運（需配合出差）

1.與PdM、系統用戶合作，理解 AI DCIM 在設備監控、能效分析、資產管理等場景中的使用需求，轉化為具體介面設計需求並進行高保真 UI 界面設計。 

2.制定並落實 UI 視覺規範與設計系統（顏色、字體、圖標、佈局），保證跨平台（Web、Mobile、大屏等）的一致性與專業感。 

3.與全棧開發工程師合作，輸出設計規範、UI 元件庫，參與前端實現驗證，確保設計效果與最終產品一致。 

4.規劃用戶使用行為搜集與分析策略，分析用戶使用狀況，對系 UI/UX 進行持續優化與改進。

1.AIOT系統管理開發，應用於智慧工廠(智能安防與流程監控) 

2.負責後端架構設計，資料庫效能優化及系統運維 

3.建立高效可靠的串流通道，處理IOT設備大量數據存取 

4.與前端協作，產出可用於輔助決策的指標API 

5.確保系統擴展性，支援未來的數據挖掘與 AI 模型整合

•前端功能開發：使用 React (Hooks/Functional Components) 開發與維護 Web 應用程式。 

•API 串接與整合：與後端工程師協作，在前後端分離的架構下，進行 API 串接（RESTful API）與資料處理。 

•使用者介面實作：將 UI/UX 設計稿轉化為高品質的互動介面，確保良好的使用者體驗。 

•AI 應用場景落地：參與 AI 相關功能的介面實作（例如：對話視窗、即時資料視覺化、Dashboard 呈現）。 

•程式碼品質維護：撰寫乾淨、可維護的程式碼，並參與 Code Review 互相學習。

To design, develop, and integrate diagnostic software solutions for servers, storage, and AI accelerator platforms, enabling automated testing and efficient issue resolution in collaboration with hardware and firmware teams. 

· Design and implement diagnostic software for hardware platforms. 

· Develop automation tools and scripts for testing and validation. 

· Integrate diagnostics with production and lab environments. 

· Troubleshoot hardware and software issues with cross-functional teams. 

· Document diagnostic procedures, tools, and technical guides. 

· Evaluate and adopt new tools or technologies to enhance diagnostics. 

Required Skills / Tools / Experience 

· Proficiency in Shell Script, Python, C/C++ 

· Strong Linux environment usage (Ubuntu preferred) 

· Knowledge of system programming, networking, algorithms, and data structures