產品：Gateway/STB/OTT 1. 產品解決方案可行性研究 2. 產品硬體規格制訂與報價 3. 產品硬體線路設計與測試 4. 產品法規認證與生產支援 5. 專案計畫會議討論 6. 產品2nd source導入

1. Product EMC Design and Verification test. 2. Product EMC Issue Analysis and Debug. 3. Product EMC World-wide Certification.

CESBG 產品線: Server產品 1. 伺服器BOM管理及維護 2. 存儲器BOM管理及維護 3. 電子元件PCN 管理作業

該項職缺非固定工作場所(各縣市) 1. 執行事業單位臨場服務之業務 2. 勞工特殊健康檢查結果分級判定 3. 員工配工及復工的評估及建議 4. 協助企業預防可能的工作相關傷病的發生 5. 環境危害風險評估及改善建議 6. 健康促進及衛教演講 7.填寫紀錄及相關建議事項

Job Summary 此職位為偏軟體與資料工程導向的工程師角色，主要負責將實際使用者 (User) 需求轉化為可落地的資料流程、後端服務與視覺化應用。 工作重心聚焦於資料處理、系統整合、效能與穩定性，並透過與使用單位的密切溝通，持續優化系統與報表，確保資料能被正確且有效地應用於實際業務場景。 Key Responsibilities - 與內部使用者（如工廠、營運或相關單位）溝通需求，釐清實際使用情境，並將需求轉化為具體的系統設計、資料流程或報表規格 - 使用 SQL、Python 進行資料處理、清洗與轉換，設計與維護穩定的資料管線（ETL / Pipeline） - 開發與維護後端服務或 API，支援資料存取、系統整合與應用功能 - 規劃並開發 BI / Dashboard 視覺化報表（如 Tableau），確保資料正確性、可讀性與實際可用性 - 與其他工程師、IT 或跨部門團隊合作，進行系統串接、資料整合與流程優化 - 針對資料量成長或使用情境變化，進行效能調整、架構優化與問題排查 - 持續關注資料品質與系統穩定性，主動發現並改善影響使用者體驗的問題 ※ 本職位重視將資料與系統「做穩、做對、做給人用」，而非以模型或演算法為主要解決手段。

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. 協助新產品開發＆替代料導入 2. 替代料驗証進度追蹤及記錄 3. 零件品質管理 4. 供應商關係管理 (供應鏈狀態/專業技術諮詢) 5. 零件系統與流程優化與管理,包含PCN/ECN/EOL管理 6. 2nd source零件資料庫維護 7. 溝通與協調零件驗證事宜, 報告給 Dell CE team 8. 2nd CM (contract Manufacturer) project (OEM)

1.工程規劃：工程設計、繪製圖紙、工程預算、工程清單製作； 2.工程管理：材料品質管控、安排施工順序、現場協調、工期掌控、施工品質、施工安全監督； 3.工程驗收：完工驗收後工程移交使用單位（含內部移交給維護組及外部移交給使用部門）； 4.光伏發電損防稽查及持續改善； 5.配合國外客戶損防稽核及改善建議回覆； 6.提供電氣安全、防火防爆等查勘服務。

1.硬體電路設計與規劃 2.產品測試與驗證 3.產品規格評估規劃 4.產品量產導入規劃 5.專案解決方案研究

1.產品製造不良品分析&.DFM分析和改善 2.新產品導入及良率改善&Golden Sample 驗證 3.OBA退貨原因分析及改善 4.領導工程問題的解決 5.產品cost down與品質改善專案

1. 新產品導入測試程式&生產設備治具開發準備 2. 產品Image和function驗證& 試產機台Setup 3. 試產治具耗材設備準備 4. CCD&程序撰寫與驗證 5.試產良率監控,異常故障分析處理及反饋,測試數據的收集.産線操作員的培訓.

1. 伺服器BIOS軟體開發及維護 2. 客戶規格審閱 3. 專案問題分析及解決

1.BIOS development engineering feasility estimation 2.BIOS product specification definition 3.BIOS engineering specification creation 4.BIOS development 5.BIOS debug and mantainance

Owner of the Mobile Broadband (5G) Product Line. As the manager of all Mobile Broadband Product Managers, you drive the the creation and execution of an enticing solutions roadmap based on end user needs, market & technology trends. Our 5G solutions range from Mobile Routers and Indoor Gateways to Outdoor Modems and 5G Cameras. As the head of Mobile Broadband Product Management, you target a winning combination of customer satisfaction and profitability.

1.Experience in signal integrity simulation of system boards and lab instruments, including VNA and TDR. 2.Experience with PDN characterization and trade off performance & cost. 3.Excellent communication and presentations skills are mandatory

1. PCB疊構與阻抗設計 2. Signal Integrity與Power Integrity 的模擬與分析 3. PCB Layout的Rule制定與審核 4. 訊號量測的審核與除錯 5. TDR/VNA量測

1、根據硬體工程師設計的原理圖，完成PCBLayout工作 2、檢查原理圖和Layout的正確性，生成gerber檔，並跟蹤PCB生產 3、熟悉板廠HDI及SMT製程，獨立完成板廠及SMT廠相關EQ，並協助產品線完成PCB及SMT不良分析及改善 4、加分項：瞭解高速光模塊的EMC SIPI 高速模擬，能從layout方面對高速光模組的EMC SIPI及高速性能提出合理化建議

〝• Support execution of Channel revenue plans to agreed metrics and targets • Drive improvement in customer satisfaction through the enablement of strategic account planning, timely issue resolution and internal support • Take active role in operational sales processes, understanding how to operate as one to win in the marketplace • • Build Channel sales strategy utilizing industry knowledge and trends, channel partner insights and High Performance Computing & AI understanding to drive Channel growth and accelerate business model transformation〝

機電工程管理 一、工作內容： 1.機電工程施工圖及施工計劃檢討。 2.負責包商施工之監督與管理。 3.控管施工進度與品質。 4.工程估驗計價、進度、安衛管控。 5.現場自檢及二級查驗配合事項。 6.施工界面溝通協調。 7.其他主管交辦事項。 二、經歷：具工地實務相關經驗一年以上尤佳。 三、工作地點：能配合公司調派者佳(依公司制度提供住宿及交通補助) 四、依學經歷核薪。

營建工地現場施工管理 ※需土木相關科系/建築相關科系畢業 1. 施工協助：協助現場施工管理，處理日常工地事務。 2. 文件管理：整理施工報告、材料訂購記錄及相關合約文件。 3. 進度追蹤：追蹤施工進度，確保工作按照排程進行。 4. 材料管理：管理工程材料進出，定期盤點庫存，確保數量準確。 5. 溝通協調：負責與下包商之間的聯繫與協調。 6. 品質檢查：監督施工過程，確保工程品質達到設計及規範要求。 7. 預算控制：核對工程數量，審核工程款項請款估驗作業。 8. 工安執行：協助落實職場安全管理，配合ISO相關體系稽核要求。 9. 稽核配合：支持ISO 9001、ISO 45001稽核需求，協助提供資料及提出改善意見。 10. 問題處理：即時應對現場突發情況並提出解決方案。 公司提供健全的福利制度，誠摯歡迎您的加入~