台大就業專區

Job Summary/Role: The Big data developer team works closely with the manufacturing functions in all relative data fields, such as, 1) connecting and automating the data pipeline from MFG file servers, API, RDB, etc., 2) building structurally data warehouse and data market for flexible application or dashboard, and 3) also handling data cleansing and data governance. In order to accelerate the development of application/analysis, Big data developer will be the individual contributor with strong experience in the technologies of Big Data, Data warehouse, SQL and NoSQL etc. Also Big data developer will also work closely with data analysts/data scientists to solve the real MFG cases. Responsibility: • Collaborate with users, data analysts, data scientists to develop flowcharts, layouts and documents to identify solutions. • Architect on real MFG needs and translate requirements into technical needs. • Identify and understand the data sources that are relevant for analysis, and implement efficient data engineering functions (including data ingestion, cleaning, ETL, integration, etc.) • Consolidate the requirements and using data engineering skills to design a robust Data Mart. • Participate in design, architecture review and deployment of Big data and data warehouse solutions. • Design for automation and monitoring mechanism in a continuous integration environment. • Bring new data technology with POC to solve existing data challenges. • With high performance and comprehensive SQL to process data in relational databases (or Map/Reduce style querying for NoSQL databases). • Work closely with user/IT/data science team to design and develop scalable data pipeline or end-to-end analytical workflow. • Provide direction, training, and guidance to less experienced team members.

配合高速成長的AI伺服器業務，我們正在擴大招募HPC (高效能運算) 集群設計、效能測試與分析的團隊。我們期待您有分析並系統性解決問題的能力，願意在世界級的先進平台上開發精進，和公司以及客戶共贏共榮。您將共同進行以下工作項目: 1. 測試自動化與數據分析 2. 機器學習效能分析 3. LLM 訓練效能分析 4. 分散式系統軟硬體調校

* 雲平台產品的售前與售後支持 * 提供維運團隊技術支援 * 對用戶需求做分析及提供解決作法 * 對團隊內部及合作單位進行教育訓練

1. 雲服務之網路架構規劃、設計 2. SDN、NFV之規劃、導入 3. 識別及解決網路問題 4. 網路設備管理、維護 5. 客戶應用上雲之網路架構諮詢、規劃

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

1. 硬體診斷軟體開發及現有模組維護 2. 硬體壓力測試軟體開發及維護 3. 依產品功能建構測試計畫並導入工廠

1.監控系統程式開發與設計 2.弱電設備安裝測試維護 3.環控系統安裝測試維護

* 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. 系統平台上的使用者介面視覺設計 2. 以使用者中心設計為原則，設計直覺又優美的使用者介面 3. 使用者介面上的共用元件視覺設計及相關使用文件產出 4. 軟體介面上所需的圖像及動態設計 5. 使用者介面設計的易用性評估與改善

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

1. CI/Automation/Test Automation (Python) 2. Web Application (Python, Node.js, Java) 3. 網管系統或 BMC/Redfish related external system (Python, Linux shell) 4. AI, BigData, Datastore development (Python, Java)

【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. 熟 JAVA, 資料庫應用, 及網頁設計語言(Thymeleaf, HTML, Javascript,CCS 等)者佳 2. 熟悉 JSP/Servlet 技術,了解 J2EE 概念 3. 懂 Spring framework, JPA, HIBERNATE 等 open-source 技術架構 4. 熟 Java Web AP 開發架構者 (含: Spring, Spring boot, Struts, Hibernate… 等) 5. 有Git 使用經驗 6.有 docker或k8s佈署經驗尤佳

1. 規劃伺服器及Rack Level產品自動化測試方案 2. 規劃及開發 Rack Level 自動化測試程式 3. 規劃及導入實驗室或工廠自動化測試 4. 規劃及開發客戶或實驗室需求的軟體工具 5. 協助研發單位規劃自動化測試需求

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

1. 根據客戶應用需求,提供雲端產品技術整合之系統架構,提供符合客戶需求之產品服務 2. 跨部門協調研發及生產單位,提供系統整合產品服務 3. 研究及分析雲服務市場需求並設計符合客戶需求之產品

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