企業應用開發經理 (土城)

＜About the job＞ 

As the AI Project Manager and System Analyst, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. In addition to developing intelligent applications via related AI and Advanced Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging AI applications based on different use cases and expand your tech skillset in this world-class company. 

＜Job Description＞ 

*Type1：AI Project Manager 

Manages AI-focused projects from initial planning to delivery, ensuring alignment with business goals and promoting innovation. Responsibilities include coordinating cross-functional teams, allocating and optimizing resources, and maintaining project schedules and budgets. The role requires proactive problem-solving to address project challenges and mitigate risks while driving effective communication across departments. 

＜Qualifications＞ 

1. Over 5 years of experience in software project management, with a strong background in Agile methodologies. 

2. Highly proactive, self-motivated, and accountable. 

3. Willing and able to travel internationally for approximately 1-2 months per year. 

＜Required Skills＞ 

1. Strong understanding of the project lifecycle, including planning, execution, monitoring, and closure. 

2. Proven ability to manage project timelines, budgets, and resources effectively, ensuring projects are completed on schedule and within budget.t. 

3. Ability to communicate effectively with individuals from different departments and roles and coordinate resources. 

4. Strong analytical and problem-solving skills, with the ability to swiftly assess complex issues and implement solutions. 

5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) 

(Nice to have, but not necessary) 

1. Familiarity with manufacturing processes 

2. Possession of project management certifications such as PMP or Scrum. 

3. Intermediate or above English proficiency in listening, speaking, reading, and writing. 

*Type 2：AI System Analyst 

Responsible for gathering and analyzing the requirements and contributing to designing, developing, testing, and deploying in all phases of the AI system development project lifecycle, as below： 

1. Collaborate with business data analysts to analyze user requirements and ensure that requirements and acceptance criteria satisfy user needs. 

2. Create a system requirement specification to elaborate on system design, system components/interfaces, and data schema. 

3. Work with the multi-functional engineering team(e.g., data scientist, AI/ML engineer, data engineer, AI software engineer..., etc.) to ensure technical feasibility. 

4. Drive usability and quality of the AI system developed and ensure all system requirements are well implemented. 

5. Work on various enterprise AI system applications and problems, and analyze issues to identify root causes and prevention. 

6. Create the Wireframes(or UI Prototypes) for AI system feature discussion with users and provide them to the UI/UX design team. 

7. Author and update internal documentation; initiate and deliver requirement specification and system analysis/system design documentation. 

＜Required Skills＞ 

1. Practical experience in requirements gathering and analysis and change management 

2. Experience co-working with front-end and back-end system development teams. 

3. Strong analytical, verbal, and written communication, teamwork, and highly collaborative skills. 

4. Experience with Microsoft Visio, Axure RP(or other wireframe tools). 

5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) 

(Nice to have, but not necessary) 

1. Mastery of QA methodology and problem-solving tools/techniques in software engineering. 

2. Knowledge of AI/Data Science Tech(e.g., Machine Learning, Deep Learning, Statistics, Quantitative modeling techniques). 

3. Practical experience in Relational DB (e.g., MS SQL, PostgreSQL) and ability to write SQL queries.

＜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.

1. Project management for products 

2. Lead project team to deliver the product in time with good quality and in scope 

3. Work as the coordinator among engineering, manufacturing and customers〝

1. work with Supply chain in Material preparation status reporting and risk highlights to internal and customer. 

2. Supplier management 

3. Project Administration/Coordinator 

4. manage ECO process 

5. work with manufacturing sites in build plan, shipping management.

CESBG 產品線: Server產品 DPM專案工程師 

1. 規劃與管控專案開發Schedule、NRE開發預算, 協調資源分配 

2. 協調專案樣品生產與出貨計畫 

3. 規劃總體測試計畫、樣品需求統計與分派 

4. 彙總客戶團隊需求並與內部團隊進行協調溝通 

5. 參與客戶與內部開發/測試團隊例行會議 

6. 收集提供NPI Sample 數量 

7. 與工廠協調合作NPI生產安排 

8. 樣品及設備的進出口收送與運送安排

協助追蹤產品專案進度、時程與資源配置；參與客戶 RFI/RFQ 的資料整理、回覆與英文簡報製作。配合協調跨部門資源以執行新產品樣試 (NPI)，支援追蹤專案 issue 並記錄各階段營運指標，協助在全球區域化佈署 (BOL 模式) 中執行基礎溝通對接。 

Assist in project progress, schedule, and resource tracking. Participate in organizing RFI/RFQ responses and creating English presentations. Collaborate on cross-functional resource coordination for NPI. Support project issue tracking and record KPIs within global regional deployment contexts.

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.

協助開發城市數據中台，支援交通、醫療與能源數據的清理與標準化整合。參與城市級數據服務 (DaaS) 平台的功能需求訪談與系統規格書編寫。配合團隊提供平台運維之技術支援，協助處理企業客戶的操作諮詢與異常案件記錄，並學習跨領域數據應用架構。 

Assist in developing city data middle-platforms and support the cleaning and standardization of transport, medical, and energy data. Participate in requirement interviews and documentation for city-level DaaS platforms. Support platform operation maintenance and assist in handling client inquiries and recording exception cases.

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. 主導專案生命週期管理，包含範疇、時程、資源與成本的規劃及控制。 

2. 導入並主持敏捷（Agile/Scrum）開發流程，提升團隊交付效率與彈性。 

3. 建立並維護跨職能團隊與外部供應商的溝通渠道，確保資訊透明、協作順暢。 

4. 負責專案風險的持續識別、評估與應對計畫的制定及執行。 

5. 精準追蹤專案進度與關鍵指標，並定期向管理層及利害關係人報告。 

6. 管理產品待辦清單（Backlog）與變更請求，確保專案交付成果符合業務目標。 

7. 負責專案交付物的品質把關與最終驗收工作。

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