交大專區

* 負責雲端Server伺服器的相關工作 1. MB VR testing 2. Schematics drawing 3. brd file checking 4. Create Test plan • 計畫介紹： • 實習期間: 即日起-2026/6 (長期實習) • 職缺內容: 實習生 (在學學生) (電子相關科系佳) • 實習薪資: 時薪(一週3天以上)，優於基本工資 ※完整一年期滿轉正過試用期另外有奬金哦~~

1.負責設備方案與規格洽談、成本評估與報價。 2.設計與優化自動化設備及治具。 3.進行圖面繪製與BOM 表製作。 4.執行自動化硬體相關專案。 5.協助產線設備異常分析與處理及新舊設備架線與調試。 6.撰寫、維護及修訂設備規範與相關技術文件。

1. 部門人力能力規劃 2. 整合軟韌體開發資源 3. 客戶軟韌體開發對接窗口

主要進行以下範疇之研究或專案(實際將依能力與興趣) 1.量子計算相關實驗或理論分析 (任何物理系統，例如：冷原子或離子、超導量子系統、量子點、光子、矽晶體等等） 2.原子物理背景相關 - 雷射冷卻、原子捕捉、雷射光譜等等 3.量子力學相關計算與模擬 - Mathematica/Python/Matlab 4.雷射穩頻相關技術 5.數位控制 - FPGA 程式撰寫 6.數位資料擷取 - 針對實驗系統撰寫相關控制程式 7.數位或類比電路設計 8.微米或奈米級半導體元件製程相關經驗 9.計算電磁相關模擬計算 - COMSOL 或是 ANSYS HFSS 10.計算機系統與架構 11.語言程式編譯、作業優化排程、人機操作介面撰寫

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

你將以產品與服務的視角，參與公司 AI 應用與研發的核心任務，包括但不限於： 1. 設計與建構 AI Application Framework，支援跨產品/專案之快速開發與部署。 2. 整合 AI 模型至實際應用，對接產品需求與專案場景，打造具價值的 AI 服務。 3. 與 AI 團隊協作，針對底層模型進行驗證、效能評估與參數調整，提供調校回饋。 4. 建置與維運 MLOps/AIOps 環境，強化模型訓練流程自動化、部署效率與版本管理。 5. 持續優化運行中模型與應用架構，提升 AI 系統效能與穩定度。

1. 用戶需求分析，系統設計，編寫軟件設計相關文檔和測試計劃、測試用例 2. 數據結構設計、系統功能開發 3. 負責系統系統集成和測試，監控系統性能，進行必要的優化，確保系統運行的穩定性和安全性 4. 利用專業知識及溝通協調能力進行數字化、自動化系統項目的實施和推廣並主動發現問題及跟進問題 5. 海外派駐支援

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. 利用模擬軟體進行結構、流體或熱分析。 2. 分析產品在各種載荷下的行為與表現。 3. 撰寫模擬報告並提供設計改進建議。

1. 與客戶溝通產品規格 2. 分析測試單位提出的顯示器問題並且與客戶說明 3. 產線指令撰寫 4. 與廠商討論並解決測試單位的問題

生產線CNC、沖床等機械操作、組立、加工作業。 請直接到公司面試。

1.與團隊一起參與產品的組裝、加工與修整，把每件產品做到最好。 2.協助產品檢查、包裝與出貨，確保客戶收到的都是完美的成品。 3.協助物料搬運與廠內物流，讓工作流程順暢、團隊更輕鬆。 4.維護工作環境整潔，和大家一起打造舒適、安全的工作空間。 5.隨時協助現場需要支援的工作，一起面對挑戰、解決問題。 6.完成主管交辦事項，並有機會學習新技能、累積經驗。

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.

依據各一據施工圖，辨別材料特性，選擇適合的焊接方式及填料、焊條，進行金屬加工工序 操作機器進行模具產品外觀拋光作業,不銹鋼材質加工

1.CNC車床機台操作，進行各種複雜的形狀加工 2.程式設計、Autocad、Mastercam 操作 3.CNC車床機台操作，包含架模、準備刀具、對刀座標軸 4.CNC車床機台的維護包含故障排除、保養等 5.負責產品測試與量測，協助改善製程品質與追蹤 6.需細心，能獨立作業，負責且能配合公司者佳 7.薪資能面談 會再依能力調整

1. 分析客戶需要和軟體需求，考量時間及成本，以評估計畫的可行性。 2. 設計、開發及修改軟體系統，並使用科學分析和數學模型來預測及確認設計的成果。 3. 負責軟體系統之開發與程式設計，並進行系統測試。 4. 研發有線或無線網路通訊產品的軟體或韌體。 5. 設計高頻通訊，並進行測試驗證。

1. 技術策略導入與協調 - 承接集團核心技術團隊的發展藍圖，規劃並推動適合海外 JV 的技術落地方案 - 評估新製程或新技術於海外導入的可行性，並整合資源協助決策與執行 2. 技術移轉與整合 - 主導封裝製程、設備、材料等關鍵技術的移轉與導入 - 整合集團內部資源，建立高效的跨單位技術支援與溝通模式 3. 技術文件與知識管理 - 建立並維護技術文件、SOP與知識管理資料庫 4. 跨國合作與溝通 - 擔任集團與海外 JV 技術團隊（特別是 CTO）之主要溝通窗口 - 合作解決重大技術挑戰，確保雙方技術策略協同一致

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

＜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.線材/模組/PCBA.等機電零件,新料規格搜尋/料號申請/備料/承認書發行及維護 2.零件資料庫 CIS&3D Drawing&線材標準化建立 3.成本&零件失效分析 新零件導入及執行Cost down