清大專區
1. 主機板測試程式開發(伺服器,儲存器) 2. Linux測試平台及模組維護 3.Windows測試平台及模組維護 4.自動化測試軟體開發 5.系統壓力測試軟體開發
【工作內容】 MES 製造執行系統-Manufacturing Execution System 1.負責對部門內部專案進行支持、監控和管理,協助部門主管實現專案目標; 2.支撐MES體系執行和改進,關注專案過程執行,識別、推進部門內部過程改善; 3.對部門專案進行管理、監控、審計和彙報,幫助專案經理協調、解決專案問題,保證專案順利完成; 4.支援體系流程,支援工具使用,參與流程和工具改進; 5.組織部門級項目立案/結案/外包合同/變更評審…等工作; 6.對專案資料進行匯總和管理,定期上報,為領導決策提供資料支援; 7.支撐專案KPI績效考核; 8.建立部門內部知識共用平臺,促進部門專案管理能力提升; 9.培育專案管理幹部,避免組織人員異動影響專案時程或組織; 10.支援海外相關專案導入 11.完成主管交辦事項
1.數據監控Web程式開發與設計 2.雲端應用服務功能開發 3.使用者介面程式開發 4.軟體模組開發與整合
Job Summary: The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other R&D activities such as algorithm designs, prototype developments and experimental designs. Key Responsibilities: • Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights.
• Major tasks focusing on data center devices, including AI accelerators, servers, storage, Ethernet switches, and power shelf. • Development of hardware diagnostics software • Development of automated testing processes for products • Integration or development of software for product stress testing • Support for manufacturing test development during new product introduction
*了解虛擬化VDI 應用 *Restful API呼叫、設計以及程式撰寫。 *進行開發前後功能之相容測試與除錯修改、規格技術文件撰寫。 *協助研發網站新技術與新工具。 *提升自我網站前後端技術,行動應用及網路發展趨勢
1. Develop Cluster Deployment/Management/Monitor Modules 2. Big Data Platform Operation (Hadoop, Spark, HBase, ...) 3. Support Customer to Maintain Big Data Platform
1. Web 程式設計與開發。 2. Web 介面設計與開發。 3. 開發與整合Kubernetes相關服務。
1. 研究雲儲存元件和新功能、新版本開發演進,及系統優化,進行功能導入設計 2. 雲儲存應用服務整合設計與開發 3. 協助存儲平台問題釐清解決與設計優化 4. 開發自動化佈署套件 5. 協助客戶資料中心運維技術支援
1.AIOT系統管理開發,應用於智慧工廠(智能安防與流程監控) 2.負責管理平台之 UI/UX 設計開發 3.串接後端 API,實現數據即時同步與高互動的使用介面 4.開發儀表板,將數據與分析結果以圖表直觀呈現,輔助決策 5.優化大量數據呈現時的瀏覽器效能,設計多維度的數據篩選與查詢機制
負責LF package, WB BGA package, FC BGA package 以及第三代功率半導體封裝的後段製程 Mold, Trim, Form 和SMT 製程之以下事項 1.)NPI. 2.)製程開發. 3.)製程整合. 4.)製程良率改善. 5.)品質改善(SPC, FDC, FMEA, QCP, OCAP, SOP 等). 6.)Cost down. 7.)設備utilization 改善. 8.)PM System. 9.)量產製程及設備規範修訂. 10.)其他配合公司客戶要求改善事項
1. 確認專案需求、與釐清需求細節 2. 使用 Prototype 溝通/確認需求 3. 網站架構與策略規劃 4. 依照產品需求設計介面與功能 5. 進行使用者流程設計 6. 產品網站與APP視覺設計
1.iOS 開發相關經驗 Swift 2.Restful API / Web API 串接開發經驗 3.整合外部 API / SDK Framework 經驗 4.Git 版控基本使⽤經驗 5.SQL Lite 使⽤經驗以及相關語法使⽤經驗
產品包含: 4G Mobile/portable Router 工作內容下列三擇一 (1)工作主要為 Platform integration 作業系統以embedded Linux為主 工作技能需求為 1. C, C++ Programming 2. VoIP: 熟悉SIP Protocol, IMS and Call feature 3. Work with the hardware team to ensure correct exercising of hardware 4. Work with the application team to ensure an adequate level of functionality 5. Provide testing facilities for engineer testing and manufacture. (2)工作主要為 Application development and debugging 作業系統以embedded Linux為主 工作技能需求為 1. C, C++ Programming 2. Gateway feature: 熟悉IPv6, IPv4, NAT, ALG, DDNS, etc. 3. Management protocol: TR069, OMCI, etc. 4. Work with the application team to ensure an adequate level of functionality 5. Provide testing facilities for engineer testing and manufacture. (3)工作主要為 Android/iOS應用程式開發 作業系統為Android/iOS 工作技能需求為 1. Java/Swift/Objective-C programming language 2. 熟悉網路協議包含IPv6, IPv4, HTTP, NAT, ALG, DDNS, etc. 產品包含: 4G Mobile/portable Router
Job Summary: • The engineers should have comprehensive knowledge of AI Large language models, such as GPT-4, and their underlying mechanisms, including an understanding of natural language processing, machine learning, and neural networks. Key Responsibilities: • Construct, train, and fine-tune large language models to meet specific organizational requirements and goals. Implement strategies for AIGC to create high-quality content. • Integrate AI technologies into existing products and services, ensuring they align with business objectives and enhance user experience. • Work collaboratively with cross-functional teams and provide technical guidance to non-technical members. Stay updated with AI advancements and educate team members on new developments. • Continuously monitor the performance of AI models, making adjustments and improvements based on data analysis and business needs. • Maintain effective communication with other teams to ensure collaborative project success. • Engage in ongoing learning and research to identify and implement new and appropriate Large Language Model technologies to enhance overall efficiency.
1. 了解使用者需求,主要負責PLM系統的導入,實施,配置。 2.使用Windchill軟件,利用PLM標準解決方案,根據業務需求,完成PLM產品需求定義,解決方案編寫及產品實現。 3. 負責PLM系統軟件設計,開發過程中相關文檔的主導和編寫。 4. 根據PLM系統部署和性能的情況,進行有效的代碼優化和系統性能調優等IT維護工作。 5.熟悉PLM全文搜索引擎,為文件和代碼使用加載文件進行部署 6.完成異構系統集成,如CAD,Creo等
[1]致力於智能手機測試治具/自動化設計開發 [2]與客戶緊密合作,完成治具/自動化的設計方案、完成Build規劃及整個開發流程 [3]審查供應商設計方案(DFM)及設計圖紙(3D/2D) [4]跨部門合作,完成治具/自動化的校驗/DOE驗證/維護/問題分析解決/設計優化 [5]追蹤設計狀態,問題分析處理過程,完成常規報告並將情況及時反饋客戶。
1.設計與最佳化電子產品組裝流程 2.SOP編寫與規格制定 3.產品組裝治具設計與驗證 4.導入半自動或全自動設備至組裝流程 5.協助客戶分析組裝/設計問題
1. 伺服器專案產品機構設計開發 2. 伺服器專案機構零件設計及圖檔建立 3. 伺服器專案機構設計公差分析 4. 伺服器專案機構樣品及模治具檢討
1. 網通產品機構設計 2. 機構圖檔設計審查(包含干涉檢查、公差分析) 3.設計提案改善與設計驗證 4.生產問題解決和對策導入 5.各階段試產不良分析與改善