清大專區

1、負責400G 、800G及以上速率產品的光引擎光學結構設計，包括概念、設計、供應商選擇、元件評估和研發sample制作 2、負責與供應商溝通光器件指標以及光學結構件的加工，對光機械結構進行公差分析，以及新物料效能評估 3、指導進行熱模擬，以確定熱阻、功耗以及機械效能 4、制定及開發產品前期製程，並對過程開發指導

1. User 需求訪談，表單與資料結構設計 2. SAP / S4HANA 系統開發與維護 3. Interface : BAPI / RFC for interface between SAP and other system 4. ABAP development and maintenance 5. 可接受彈性任務安排，隨時學習新的程式語言 6.可配合出差海外廠區與墨西哥廠區

1. 負責 Linux 系統的管理和維護，包括安裝、組態和性能優化。 2. 使用 Docker 技術建立、部署和監控容器化應用程式，並維護其運行環境。 3. 撰寫 Shell 腳本來自動化系統管理任務和應用程式的部署。

您將共同進行以下工作項目: 1. DPU 韌體開發 2. NVMe over RDMA系統分析與設計 3. 分散式網路儲存系統效能優化 4.開源軟體開發與測試 5. Redfish API開發維護

1. Lead the lead of firmware team for server project. 2. Study technical issue for project‘s needs. 3. Review & sign off requirement specification. 4. Review engineer design. 5. Review function/interface specification. 6. Review bug fixing. 7. Help the design and review the common definitions for debugging and profiling.

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.

1.負責ARM M系列處理器的韌體維護與開發;。 2.負責光模塊的底層Firmware架構設計,代碼編寫及優化; 3.負責光模塊的上位機GUI及研發調測軟件的開發; 4.精通I2C和SPI通訊協定。 5.熟悉硬體設計與電路原理，能與客戶緊密合作

伺服器產品PSU規格品選用,客製品協同開發,系統/單體驗證,除錯 具有Server PSU 3~5年設計經驗 熟悉AC/DC PSU架構特性 熟悉PSU驗證操作流程 知悉電源PSU生產流程

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