清大專區

您將共同進行以下工作項目: 1. HPC軟硬體集群架構規劃 2. 網路系統設定與管理 3. HPC 叢集建置與管理自動化

團隊組成 (Team): 前身是提供企業內部資料分析顧問服務以及打造客製化資料系統服務團隊之資料工程部門，擁有多年經驗。目前積極規畫與開發自有的資料處理平台，支撐高自由度、高效能、可靠並可擴展之資料處理/分析流程，解決實務上欲打造一套資料系統的難題。 工作內容 (Responsibilities): 1. Software Engineering: • Produce specifications and determine operational feasibility • Write well-designed and testable code for building an efficient and stable system • Troubleshoot, debug, maintain, and upgrade existing systems 2. Data Platform Development & Data Engineering: • Module development and integration for building a modern data platform • Efficient data flow/pipeline module design and Implementation • Work closely with data science team to integrate ML/statistical models and analytical workflow

* 開發 OpenStack 和 CEPH 的自動化佈署。 * 開發自動化維運工具。 * 協助客戶進行平台規劃和佈署。

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

• 規劃AI服務架構，協助客戶導入。 • AI相關數據架構、建模、應用分析規劃。 • AI相關產品、技術學習研究。

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。

＊對於開發Java 網站有開發經驗 ＊了解Alfresco 架構與相似經驗開發。 ＊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. 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

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

主要職責： 開發各種新世代寬頻通訊設備之軟體/韌體。 1. 資工/電子/電機/通訊系所專業尤佳，熟C/C++、Java、Linux、Embedded System、TCP/IP等網路通訊協定 2. 二年以上網路通訊產品軟體開發經驗尤佳

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]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.Server機構產品設計開發 2.專利設計開發與申請 3.PDM系統相關承認流程操作

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