清大專區

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)

＜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.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.設備故障維修及機台性能維護, 保證設備生產效率; 機台測試良率維護與提升。 2.記錄跟進新產品導入中的組裝問題和發現對具體問題的調查、研究和分析. 3跟進解決或上報問題 4.參加新技術測試的實施 5.確保製造過程的優化，保證產出和品質

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

1.System BOM 2.System Spec 3.System Assembly SOP 4.System Component Approval Sheet 5.System NPI Support (系統階設計、BOM規劃、組裝規劃、Label 規劃、FRU規劃、Cable設計)

Hardware circuit design, layout, pilot run and debug of telecomm / datacomm products. (Router / Switch / Server)

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〝

1.負責C/C++後端程式開發設計與維護。 　2.API串接及通訊協定程式開發設計及維護。 　3.撰寫開發設計文件。 　4.資料庫設計。 5.Linux操作。

1. 智能化與 AOI 設備開發：負責智能化自動化設備軟體架構開發，並針對 AOI系統進行深度開發與演算法整合，提升檢測精度與效率。 2. PC-Based 核心控制開發與優化：負責 PC-Based 控制系統編寫，執行設備邏輯控制、參數精準調校及軟體性能優化，確保設備運行之穩定性。 3. 跨模組硬體通訊與系統整合：整合多維度硬體通訊協定，包含高速運動控制 (Motion Control)、類比與數位訊號 (DIO/AIO)、工業網路 (Industrial Network) 及 Socket 網路通訊。 開發高精度視覺對位系統，實現軟硬體間的無縫連結與高效協作。 4. 工程技術文件產出：編撰工程文件，包括測評報告、核心技術文件及操作手冊。

1. 2年以上軟體具備Web, APP(Android, iOS)測試經驗，包含建立及執行測試個案, 測試計畫, 測試報吿、測試情境規劃、測試資料規劃、功能測試、使用者測試、問題追蹤處理、軟體整合測試。 2. 善於溝通協調, 善於自主管理, 抗壓性高 3. 具備任一種類測試的工具使用 (JMeter、Selenium、Python、Postman或 Swagger etc) 4. 熟悉 SQL query (如 Table JOIN)