BMC 韌體工程師

設計與實作智慧城市平台所需的後端API服務，確保資料安全、效能與穩定性。 

1. 熟悉RESTful API設計與OpenAPI規範 

2. 熟悉Node.js/Go/Python等語言 

3. 熟悉容器化技術與Kubernetes 

4. 熟悉CI/CD與API安全機制

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. 制定自動化設備軟件應用改進完善計畫 

2. 軟件應用工作整體把控 

3. 軟件功能測試、現場設備重大問題調試等技術支持 

4. 專案前期參與軟件需求分析工作 

5. 軟件二次開發應用

BMC(Baseboard Management Controller基板管理控制器). Firmware supported on worldwide tier one customer projects of Clouding & Enterprise server. 

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、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。

BMC(Baseboard Management Controller基板管理控制器). Firmware supported on worldwide tier one customer projects of Clouding & Enterprise server. 

1. Embedded Linux development on ARM/MIPS SOCs.  

2. Linux technology and GNU tool chains. 

3. Device drivers or kernel modules development.  

4. Scripting like, shell script, Python, Perl. Web technologies of JavaScript, html, CSS and AJAX development.

1. Server Liquid Cooling System Control Firmware Development 

2. Server Liquid Cooling System Control Circuit Design 

3. Server Liquid Cooling System Control System Analysis

1. 伺服器BMC韌體設計開發 

2. 協調客戶需求與產品規格 

3. 既有專案維護 

4. 跨單位技術溝通探討

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.

嵌入式系統軟韌體開發/產測程式開發BMC 韌體開發

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.

＜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.

工作內容： 

＜About the job＞： 

We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). 

＜Job Type Option：＞  

*Type1: AI/ML Engineer (Engineering-Oriented)  

(1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements.  

(2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities.  

(3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation  

(4) Deploy the model to production and maintain/optimize the models by MLOps. 

(5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. 

(6) Experience in AWS SageMaker is preferred. 

*Type2: NLP AI Engineer 

(1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. 

(2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling 

(3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. 

(4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. 

*Type3: AI/ML Engineer (Analytics-Oriented) 

(1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. 

(2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. 

(3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. 

(4)Apply quantitative methods including but not limited to above tasks to solve business problems. 

(5)Being passionate and patient about working with complex data 

＜Skills＞ 

．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented)  

(1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. 

(2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc.  

(3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR.  

(4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. 

．Type 2: NLP AI Engineer 

(1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc.  

(2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. 

(3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) 

(4) Experience manipulating and integrating unstructured, semi-structured, and structured data. 

(5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. 

(6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX

1. 參與系統開發專案規劃討論與技術分析，並可獨立完成網頁開發及維護。 

2. 與開發園隊協作，依照文件串接 RESTful API, 並能有效處理資料。 

3. 規劃易維護、可擴展的元件及模組，提升開發效率。 

4. 關注 Web 技術發展，學習並試導入新技術。 

5. 具備前端實務開發經驗至少2年。 

6. 獨立解決問題的能力，且熟悉各瀏覽器及裝置的開發偵錯工具。 

7. 負責任與積極的態度，對工作及所產出的程式進行品質管理，並随時考慮優化可能。

【工作職責】 

•負責 SAP ABAP 程式與 SAP Fiori 應用系統之設計、開發與維護。 

•與功能顧問及技術團隊密切合作，蒐集並分析業務需求，提供專業技術解決方案。 

•執行系統分析、程式除錯與問題排查，確保系統穩定運作並有效解決技術問題。 

•持續關注並學習 SAP ABAP / Fiori 相關之最新技術、工具與最佳實務。 

【Responsibilities】 

•Design, develop, and maintain SAP ABAP programs and SAP Fiori applications. 

•Collaborate with functional consultants and technical teams to gather business requirements and deliver effective technical solutions. 

•Perform system analysis, debugging, and troubleshooting to identify root causes and resolve technical issues. 

•Stay up to date with the latest SAP technologies, tools, and best practices related to ABAP and Fiori development.

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.負責管理平台之 UI/UX 設計開發 

3.串接後端 API，實現數據即時同步與高互動的使用介面 

4.開發儀表板，將數據與分析結果以圖表直觀呈現，輔助決策 

5.優化大量數據呈現時的瀏覽器效能，設計多維度的數據篩選與查詢機制

【工作內容】 

1. 系統規劃與流程改造 

2. 系統設計及程式撰寫 

3. 主流雲平台使用與環境配置管理 

4. 用戶教育訓練及問題排除 

【工作地點】 

台北土城、高雄軟體園區 (若您希望派駐國外也可以) 

未來公司採全球化配置, 將會有許多短期出差的機會

• 規劃AI服務架構，協助客戶導入。 

• AI相關數據架構、建模、應用分析規劃。 

• AI相關產品、技術學習研究。

【工作內容】 

MES 製造執行系統-Manufacturing Execution System 

1.負責對部門內部專案進行支持、監控和管理，協助部門主管實現專案目標； 

2.支撐MES體系執行和改進，關注專案過程執行，識別、推進部門內部過程改善； 

3.對部門專案進行管理、監控、審計和彙報，幫助專案經理協調、解決專案問題，保證專案順利完成； 

4.支援體系流程，支援工具使用，參與流程和工具改進； 

5.組織部門級項目立案/結案/外包合同/變更評審…等工作； 

6.對專案資料進行匯總和管理，定期上報，為領導決策提供資料支援； 

7.支撐專案KPI績效考核； 

8.建立部門內部知識共用平臺，促進部門專案管理能力提升； 

9.培育專案管理幹部，避免組織人員異動影響專案時程或組織； 

10.支援海外相關專案導入 

11.完成主管交辦事項