- 面議（經常性薪資達4萬元或以上） 新北市土城區 3年工作經驗 2天前更新展開
1. 熟悉電路設計與pcb layout 軟體,, 2. 熟悉VNA/SCOPE操作, DEBUG能力佳, 3. 具獨立思考與解決問題能力, 4. 需有團隊合作精神。 5. 其他主管交辦事項。
- 面議（經常性薪資達4萬元或以上） 桃園市蘆竹區 1年工作經驗 2天前更新展開
1.根據產品需求,設計電池管理系統、電力轉換系統等儲能硬體電路 2.指導並監督PCBA板的測試驗證,確保產品硬體品質穩定可靠 3.分析和解決產品故障,提出硬體優化方案,完成硬體變更設計
- 面議（經常性薪資達4萬元或以上） 新北市土城區 3年工作經驗 2天前更新展開
1.車用ADAS 攝影鏡頭、光達、雷達相關應用 2.建立感知融合策略經驗(Camera Radar/Camera 3.點雲物件辨識模型建立 4.串接自動駕駛模擬器與系統驗證開放式平台之軟硬整合 5.配合開發流程撰寫相關文件 6.熟悉以下語言/ 一項或多項))：C++/Python/TensorFlow/PyTorch 程式開發能力，具ROS2 相關開發經驗尤佳 7.主管交辦事項
- 面議（經常性薪資達4萬元或以上） 新竹市 工作經歷不拘 2天前更新展開
1.光收發模組產品的開發設計,輸出原理圖、PCB加工文件、PCB貼片文件等設計文檔 2.光收發模組產品樣品製作,輸出驗證報告 3.引入新物料的技術評估,並驗證及導入 4.編寫項目文檔、技術專利及其他有關技術文檔 5.其他主管交辦事項
- 面議（經常性薪資達4萬元或以上） 新北市土城區 2年工作經驗 2天前更新展開
1. PCBA、PCB、2nd Source 2. 2nd Source Library 3. Release PCBA BOM 4. Maintain SKU BOM 5. Release PCBA BOM(PST) 6. CIS 零件審核
- 面議（經常性薪資達4萬元或以上） 新北市土城區 2年工作經驗 2天前更新展開
＜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.
- 面議（經常性薪資達4萬元或以上） 新北市土城區 1年工作經驗 1天前更新展開
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)
- 面議（經常性薪資達4萬元或以上） 新北市土城區 3年工作經驗 2天前更新展開
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
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 工作經歷不拘 2天前更新展開
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。
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 2天前更新展開
1.與客戶討論擬定測試項目 2.Server 可靠度測試及分析 3.專案前期:RFQ/polling/NRE/測試規劃評估 4.專案中期:Test Plan/Test Report/專案執行 5.專案後期:問題追蹤及分析驗證
- 面議（經常性薪資達4萬元或以上） 新北市土城區 1年工作經驗 1天前更新展開
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
- 面議（經常性薪資達4萬元或以上） 新北市土城區 3年工作經驗 2天前更新展開
負責產品：IP cam、Dash cam 1. 影像品質調整 2. 影像品質測試驗證 3. 產線測試結果分析與確認 4. 開發相機產品相關測試項目
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