一、資格條件： 1.學歷需國內外學士學位以上，資訊管理、資訊工程等相關科系畢業。(應徵時須已取得同等學歷，國外學歷須經我國駐外單位驗證)。 2.具服務熱誠，負責盡職，重視團隊合作。 3.配合度佳、個性樂觀、抗壓性高，並具良好之溝通協調能力與行動力。 4.工作業務需配合假日及晚間加班，颱風豪雨期間需配合應變輪班。 5.具汽車駕照者尤佳。 6.需熟悉PostgresQL、MySQL等資料庫維護並有GIS資料庫建置能力。 7.需熟悉java程式開發。 8.需有android app 開發及上架之能力。 9.需熟悉php 網頁開發(有Laravel等相關套件之開發能力者佳)。 10.有其他網頁開發能力者佳。 11.熟悉ESRI GIS、QGIS 操作及繪製者佳。 12.有C++、C#、python、swift其中一項程式語言以上之撰寫能力佳。 13.有ios app開發及上架能力佳。 二、工作項目： 1.計畫專案執行。 2.計畫主管交辦事項之辦理。資訊工程學類,電算機一般學類,電子工程學類輕型機車,普通小型車,普通重機車

工作項目： 1. IP function and Spec verification。 2. Discuss and Define Engineer Spec。 3. AFE與生醫相關的Research, Study and Paper Work。 4. AFE IP的自動化開發與維護。 5. Invention Patent。 應徵條件： 1. 碩士以上; 電機、電子、通訊、生醫工程等相關系畢業為主。 2. 熟 PLL/ADC/DAC等電路之特性及驗證。 3. 擅長工具：Python / Labview / MATLAB。 4. 具 Python自動化開發經驗與熟悉車用驗證者尤佳。電機工程學類,電子工程學類,醫藥衛生學門

1.智慧機械演算法開發(健康評估、缺陷分析、異常診斷、時間序列處理等) 2.機台及感測器訊號擷取及時頻分析 3.需具備機械學習、深度學習相關開發經驗或碩論研究 4.熟悉振動及溫度等一維訊號處理尤佳 5.具備機械領域知識尤佳 (自動控制、振動分析、熱流、結構分析及加工等) 6.熟悉Linux作業系統尤佳 7.熟悉SQL尤佳 8.熟悉DOCKER / VMARE尤佳

1.負責新產品導入。 2.管理日夜班功能測試站的隨線工程人員。 3.管理功能測試程式並確保正常運作。 4.不良產品之分析及改善。 5.測試誤測率持續改善。工程學門,工業技藝及機械學門,電算機學門

1.醫療系統應用與開發，包含去識別化、資料標註、特徵生成、分析成效驗證、文本大數據分析等等。 2.支援人工智慧應用技術產品化歷程發展，包含運算平台模組架構、框架規範、資料介面、部署設計等執行協助。 3.具有資料庫建置,管理,維護經驗。 4.具有Restful API和Python web框架(Flask, Django) 開發經驗 5.熟悉以下語言(一項或多項)：有物件導向觀念，並且熟悉Java或Python程式開發，具雲端架構,平行運算或大數據分析架構有實務經驗尤佳 6.擁有MLOps經驗尤佳 7.對於學習新技術具有熱情，具備良好的溝通及團隊合作能力資訊管理學類,資訊工程學類

協助處理及分析影像大數據，利用機器學習或深度學習演算法建置預測模型。 1.協助醫學影像大數據研究(收集資料、資料處理與資料分析) 2.協助人工智慧機器學習、深度學習研究 3.行政交辦事務處理 4.態度認真細心、個性合群易相處、主動積極、願意學習資訊工程學類,公共衛生學類,數理統計學類

1.Linux Embedded system programming 2.WLAN driver coding/porting and BSP coding/porting 3.TCP/IP networking coding/porting and network management tool,e.g SNMP, development 4.switch features porting, VLAN,IGMP ,QoS,etcs, 5.Familiar with GW/router related features and protocols such as NAT, Firewall, access control, (D)DNS, QoS, , etc. 6.IoT gateway development, 7.Cloud service porting and intgration 8.boot loader coding/porting 9.console,CLI coding/porting 10.Mass production support 11.填寫＂薪資待遇＂優先處理. 12.公司產品參考:http://www.globalscaletechnologies.com/資訊工程學類

1.影像處理演算法開發 2.影像檢測系統開發電機工程學類,電子工程學類,資訊工程學類

1.與產品經理、產品設計師、後端工程師合作，參與產品的 UI 設計和需求討論， 開發和維護公司產品 2.與其他前端工程師協同合作 3.負責網站、行動裝置網頁前端程式撰寫 4.維護並優化頁面效能 5.與後端工程師配合，串接 API，完成產品開發 6.模組化前端組件，建立前端開發架構，提高前端開發的效率 7.對前端相關領域技術保持持續關注，用合理的技術方案解決問題 【條件要求】 1. 具備串接 RESTful API的實務經驗 2. 熟悉 HTML5, CSS3 3. 對學習新技術具有熱情 其他條件 1. 主動積極、善溝通、重團隊、有責任心。 2. 具解決問題的獨立思考能力，學習意願高及勇於接受挑戰。 3. 時間管理佳，抗壓性高，能在指定時間內完成高質代碼及註解。 4. 遵守開發流程及規範。 5. 熟悉前端開發工具與架構。

About us The AI Lab at Quanta is focused on empowering the company through AI. We develop AI algorithms and software solutions that not only enhance our products but also optimize productivity across various functions within the organization. We also provide AI information and knowledge for the executives from different business units for strategic decision-making. The lab fosters innovation, encouraging groundbreaking ideas to push the boundaries of AI and drive transformative change. Job description As a data scientist in the AI Lab, you will have the opportunity to work closely with project managers, software engineers, and other stakeholders to develop AI-powered solutions for the diverse functional teams, including engineering and manufacturing. You will have access to a remarkable computing resource (100+ GPUs and 1000+ CPU cores) enabling you to develop the models and algorithms and experiment with state-of-the-art algorithms. Responsibilities ●Execute data science and artificial intelligence projects, from project inception to completion. ●Develop and implement models or algorithms to solve engineering and manufacturing problems. ●Collaborate with project managers, software engineers and other stakeholders to develop data science and artificial intelligence solutions. ●Stay up-to-date on the latest data science and artificial intelligence trends.數學統計學門,資訊管理學類,工程學門

1. 作業流程與數位轉型專案的需求訪談、分析、規劃與建置 2. 使用 UiPath 開發RPA自動化流程, 並持續優化及維護 3. 協助系統上線、測試及問題排除

1. Android/Linux BSP Development/Porting/Testing 2. Android Driver/HAL/Framework porting, development, intergration. Ex: Display、Touch、Camera、Audio、WiFi/BT、Sensors...etc 3. Bootloader Development and Testing 4. Hardware bring up and performance tuning 5. Manufactoring Firmware/Tools development, testing and maintain 6. Troubleshooting and debugging 7. 工作待遇：將依學經歷進行敘薪

1. 執行專案產品 Windows Image製作與版本管控. 2. 執行編訂Windows Image 製作的標準流程. 3. 維護專案產品之軟體相關事宜. 4. 與客戶, 工廠溝通解決Image 相關事宜. 5. Image/ADK/Windows相關技術研究及Debug

1. Linux system software design 2. Android system software porting 3. MCU FW/RTOS programming 4. Application programming(Android, Linux, Windows) 5. 人工智慧Python應用程式開發

1.Responsible for project management of various product lines of the Windows operating system. 2.Bug analysis, tracking, resolving, and driver verification during the development stage. 3.Clarify system issues and work collaboratively across departments and vendors to solve problems. 4.Analyze and resolve issues encountered with shipping images. 5.Research and implementation of new Windows-related technologies.

1. 設計開發機器學習相關模型 2. 根據企業內部需求參與AI應用的開發佈署 3. 根據專案需求深入研究相關技術，如 自然語言處理(NLP)、擷取增強生成 (RAG) 、物件辨識等等資訊管理學類,資訊工程學類,企業管理學類

＜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.資訊管理學類,數理統計學類,資訊工程學類

1. 車用資訊多媒體系統軟體規劃、各功能模組開發整合及驗證 2. Android BSP移植、Linux驅動程式開發設計、除錯及驗證 3. Android應用程式相關功能開發設計、除錯及驗證 4. QNX應用程式開發設計、除錯及驗證資訊工程學類,電機工程學類,電子工程學類

親愛的學生朋友們：(名額有限優先給要拿學分的同學) 【公司自費提撥-無國家補貼】 【1】營養午餐 【2】表現優良者贈送價值18000元 音響 *1支 https://sound.kaohom.com.tw/ 大家好，我們了解目前社會經濟情況對許多在校學生帶來的影響，尤其是對於尋找實習機會以累積經驗和學分的學生們。瞭解到這個情況，我們決定盡我們所能來為我們的學生提供支援。【暑期實習學分計畫】。 面對當前艱難的經濟情況，您是否曾感到迷茫，對未來充滿不確定？是否擔心畢業後無法找到合適的工作？讓我們告訴您一個好消息，公司現正為您開啟一扇新的大門，邀請您參加我們的2023年暑期實習計劃。 【誠摯邀請您，與我們共創未來】 我們將提供學生一個實際體驗工作環境的機會，幫助他們理解並應對未來職場的挑戰。然而，因為政府並未對企業提供任何補貼來支付學生實習的津貼，我們不可能提供經濟補助。 【所以大部分的學校也清楚明白 企業要提供實習拿學分的機會真的越來越渺茫 所以為何實習合約同校為何要分兩種版讓學生多元選擇 : 有薪 / 無薪 兩種版本合約】 儘管如此，我們保證，這將是一個充滿學習和成長的機會，有助於您未來的事業發展。 在實習期間，您將獲得實際的專案經驗，並在專業的導師指導下學習和成長。 在結束實習時，我們會舉行一個成果發表會，讓實習生分享他們的工作和學習成果。這將是一個展示您才能和學習的機會，並獲得我們領導層的回饋和評價。 【無薪資實習，但絕非無價值】 我們明白學生朋友們可能對“無薪資”兩字感到疑惑。然而，讓我們告訴您，這份實習的價值，遠遠超過短期的經濟收益。您將在這裡獲取寶貴的實務經驗，塑造出強大的人脈網絡，這將是您畢業後求職的一大優勢。 【很重要所以在強調一次薪資】 本實習機會無薪水。我們瞭解到【政府目前無法提供企業補助用於實習生津貼-但沒有拿到實習機會就必須延畢】因此，公司決定承擔這部分負擔，提供實習機會以回饋社會。 【企業社會責任，我們一直在行動】 雖然政府並無補助學生實習的相關費用，但高宏資訊始終認為，幫助學生建立實務經驗，為他們的職業生涯鋪路，是我們作為企業的責任。因此，即使在困難的市場環境下，我們依然堅持提供實習機會，以支持學生的學習與成長。 我們相信每個人都有潛力做出改變。我們希望能提供一個想改變的機會資訊管理學類,資訊工程學類,數學統計學門

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電機工程學類,電子工程學類,資訊管理學類