清大專區

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 6. 控制元件選用 / 感測元件運用

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

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

＜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. 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.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)

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

1.年資：三年以上 2.工作經驗：戶外防水防塵產品, 機櫃的機構設計, 基地台無線通訊產品, 伺服器, 交換機 3.產業：通訊機械器材相關業, 無線通訊設備相關行業,其他電子零組件相關業, 4.外語能力：英文

工作地於高雄大寮，視產品/專案進度會有國內外出差之需求 1.管理生產品質檢驗 2.負責現場的4M變更管理 3.不合格品管理 4.統計製程管制 5.糾正與預防措施管理 **職務內容主要負責Battery Pack**

1.網路應用資訊系統維運 2.專案工程建置 3.互聯網網路安全管理 4.台灣各廠區通信網路服務 5.無線網路建置及管理 6.視訊會議操作,維護及管理 7.電話通信系統建置及維運 8.通信網路用戶問題維修及客戶服務

1) 架設CI flow(使用Jenkins, Git, pytest框架)，以python作為自動化腳本語言，藉由jenkins 驅動python的自動化腳本，執行 c/c++ compile run/design compiler/SecurityScan tool 產生 Image file 自動導入TestBed 2) 自動化build結合automation TestBed 自動執行 unit test, sanity check。將各種測試數據導入資料庫提供後續數據分析將結果自動生成報表. 3) 短期目標-導入軟體CICD開發流程。中期目標-Unit test 測試自動化流程整合。長期目標-Sanity check/Regresssion 自動化流程整合。

1) 與軟體研發工程師緊密合作完成各項產品的編譯環境部署、toolchain的使用流程與編譯過程並紀錄 2) 熟悉公司採購或導入的SAST程式碼安全掃描服務如Fortify、Coverity 3) 完整了解toolchain或編譯過程並對其進行SAST程式碼安全掃描取得掃描結果

1. Manage team 2. BIOS development planning and management 3. Across function teams communication 4. Customer relationship maintain 5. Cultivate talents