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職缺名稱公司名稱上班地點工作經驗更新薪資待遇
- 時薪190~200元 新北市土城區 工作經歷不拘 3天前更新展開
* 負責雲端Server伺服器的相關工作 - 硬體/電源/ 訊號量測/ 系統整合測試/ 專案管理/ 倉儲管理/ 各項職務 • 計畫介紹： • 實習期間：2024/7-2025/6 (長期實習-半年or 一年) • 職缺內容: 實習生 (目前大學三年級或碩士一年級在學學生) • 實習薪資: 時薪(一週2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~~ 實習生職缺表: https://reurl.cc/Xq0OX3
- 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 3天前更新展開
1.確認專案需求、與釐清細節，以 Prototype 溝通/確認需求 2.依照產品需求設計介面與功能，包含產品網站、系統介面與APP視覺設計 3.依據專案需求製作：主視覺、icon、說明圖、色彩計畫與運用規範等。 4.執行跨裝置體驗設計，定義裝置介面呈現規範與限制
- 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 3天前更新展開
1. 產品線路設計 2. 產品 PCB佈局設計 3. 生產 BOM發行 4. 產品 bring up 5. 產品功能性驗證, 製作測試報告 6. 產品 RMA 分析 7. 與 SI/ME/SW/Compliance/Thermal team 合作產品設計
- 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 3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） 高雄市前鎮區 3年工作經驗 3天前更新展開
1.規劃並執行各類產品研究調查專案 2.目標族群分析及潛在市場分析 3.執行質性及量化研究及分析，進行使用者體驗與研究 4.協助將研究結果轉換為設計規格，輔助軟硬體產品設計與服務設計 5.研究資料彙整與紀錄
- 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 3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 3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 3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 3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 3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 3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 3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） 新北市土城區 2年工作經驗 3天前更新展開
產品線: Server產品 1.Familiarity with VHDL/Verilog coding and FPGA/CPLD design flow is a must 2.Familiarity with Lattice/Altera/Xilinx EDA design tool. 3.Familiarity with FPGA/CPLD design in server application and multiple bus protocols including I2C / power sequence / SPI / LPC / SGPIO / I2C switch/ UART / PWM / eSPI 4.Strong HW and x86 architecture knowledge is a plus. 5.Fluent English written and verbal communication skills. 6.Integration and test experience 7. Highly self-motivated, able to work independently in a lab environment.
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