交大專區

工作項目 1. IC 可靠度實驗 & 量測 ( ESD / LU / HTOL / HAST / IR-reflow / SAT / IV-Curve ) 2. 實驗室靜電防護工作 3. 機台維護與保養 4. 內部稽核 應徵條件 1. 相關經驗3年以上 2. 若無經驗則需大學以上 EE / 工業工程相關科系畢 3. 熟悉 IC 可靠度相關測試規範

工作內容 1. CP/FT 量產異常分析 2. 產品良率改善、量產程式Fine Tune 3. Probe Card/Load Board 測試電路異常維護 4. RMA驗證分析 5. 轉平台 6. 支援測試開發工程實驗 7. 需配合國內出差 應徵條件 1. 學士以上，電機工程、電信工程、電控工程、電子工程、資訊工程、資訊科學、通訊工程相關科系畢業為主。 2. 熟悉 C# 或VBA 尤佳 3. 具備 V50/S100/J750/Uflex/C3680/C3380/V930000系列機台操作 尤佳 4. 熟悉電路圖分析 5 .具備基本電學與基本測試邏輯觀念且熟悉示波器、三用電錶尤佳

▲職務說明: 1.生產設備維修以及保養 2.無經驗可，可培訓 3. 加班費另計 ▲薪資說明: 36,000~40,000 (含獎金、全勤 )

1. 工廠公用設備巡檢與維護。 2. 水電工程維修。 3. 支援產線設備維修。 4. 會磅、協助廢棄物清運。 5. 工廠周遭環境維護。 6. 自動倉儲-原物料入庫。 7. 主管交辦事宜。

1.PVC、PE、PS等塑膠相關製品之研究開發、產品檢驗及配方改善。 2.新材料的評估、測試、分析與選擇。 3.新產品或技術的製程開發及導入。 4.開發及實施產品追蹤和品管系統，分析生產、品管、維護和其他操作報告。 5.其他主管交辦事項。

1.原料、半成品、成品之微生物相關檢驗（如：生菌數、黴菌酵母菌、環境監測等） 2.微生物試驗相關文件填寫與資料整理 3.協助實驗室日常管理與清潔維護 4.依 SOP 與 GMP 規範執行檢驗作業 5.其他主管交辦事項

1.熟悉機電、給排水、弱電監控、空調、照明及消防設備系統 2.機電施工圖面管線檢討、整合 3.機電工程品質、進度管控、成本預算控制、現場監督、協調、稽核、驗收 4.廠商材料審查。 5.機電工程驗收與結算 6.主管交辦之事項

1.直噴機作業 2.文書處理 3.裁片事務處理

1. 負責無線產品天線研發設計測試 2. 新產品研發到量產的技術轉移及製程改善 3. 新技術量測規劃(5G及毫米波量測)

1. 有LTE 產品開發經驗3年以上，熟悉 電路板設計、LTE Calibration/Verification、3GPP Test、RF 設計\Matching 等技能。 2. 有WiFi 產品開發經驗3年以上，熟悉 電路板設計、802.11a/b/g/n/ac、WiFi Calibration/Verification、WiFi 系統整合測試、RF 設計\matching 等技能，有天線設計經驗者尤佳。

1. Discuss with customer, come out proposal, review and negotiate design spec. if any change 2. Survey & review proper compoents for system design. 3. Schematic design, come out constrain guideline for layout and layout design/review 4. Measure signal integrity and address them if any issues. 5. Collaborate with functional teams for product qualification and troubleshooting. 6. Cooridinate with MFG team for material pipeline, manufacturing proto unit and manufacturing test.

1. 負責結構設計研發 2. 自動化設備研發測試 3. 零組件開發測試 4. 自動化控制系統設計開發 5. 負責機器視覺程式開發

1. IPCam和相機相關產品電子電路設計 2. 相關電路驗證和量測 3. PCBA測站不良品分析與良率改善 4. 產測分析與良率改善 5. 產品規格檢討 6. 解決工廠和客戶問題 7. 與芯片廠商溝通及解決問題

1.伺服器主板規劃與設計 2.產品規格驗證與分析

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

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)