轉職熱搜工作

- 推動跨系統和模塊的集成，解決架構相關技術問題 - 架構設計: 設計Genesis Store 架構模塊並與IT/OT組件集成 - 與開發團隊保持密切溝通交流，設置檢查要求和節點，推動用例標準化 - 生態合作對接: 確定IT/OT架構與生態解決方案之間的一致性和匹配性 - 知識庫與Token*相關的系統建設: 負責相關的系統設計與建設 (如: 知識管理、Token*管理) *Token: 透過GenAI技術整合各種跨事業群的生產相關資料，如: 語句、圖像後的數據單位，有助在不同場景下訓練AI引擎

1. 主導系統架構設計：規劃並設計次世代醫療系統（HIS）總體技術架構與演進藍圖。 2. 微服務拆分與治理：根據醫院核心業務，主導微服務的邊界劃分、API 契約設計與服務治理策略。 3. 數據架構規劃： 設計數據湖與數據中臺架構，規劃全院級的數據整合、ETL 流程與數據治理體系。 4. 推動醫療數據標準化： 負責推動並落實 HL7/FHIR 等國際醫療資訊標準在系統中的應用與數據交換。 5. 制定技術規範： 建立與推行開發、安全、部署、監控等方面的技術標準、規範與最佳實踐。 6. 規劃 DevOps 體系： 設計 CI/CD 自動化流程與可觀測性（Observability）系統方案，提升交付效率與系統穩定性。 7. 技術選型與評估： 負責核心技術元件（雲端服務、資料庫、中間件）的選型、評估與概念性驗證（PoC）。 8. 解決方案與技術攻關： 領導團隊解決專案中的關鍵技術挑戰與架構瓶頸。 9. 技術指導與審查： 提供技術指導與培訓，並負責核心程式碼與架構設計的審查（Review）。 10. 前瞻技術研究： 持續引入雲端計算前沿技術，驅動醫療系統的架構創新。

＜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.

帶領開發團隊進行企業應用設計與開發，負責軟體架構設計與開發進度掌控。 1. 熟悉雲端架構設計（如 AWS/GCP/Azure） 2. 熟悉 CI/CD 流程與工具（如 Jenkins、GitLab CI、ArgoCD） 3. 具備微服務架構與Kubernetes管理經驗 4. 熟悉DevOps文化與團隊管理

1.進行市場調查和用戶需求分析，定義產品策略與發展方向。 2.制定產品路線圖（Product Roadmap）和發展策略，確保產品符合市場需求。 3.與設計師、工程師等跨功能團隊合作，管理產品開發功能以及Backlog。 4.關注市場與競爭者動向，確保產品的市場競爭力 5.分析產品數據，持續優化產品體驗和功能

1. 架構設計與搭建：結合 HIS、EMR、PACS 等醫療系統需求，設計智慧醫院及機器人平台高可用資料庫架構；選型關係型 / 非關係型資料庫，搭建優化集群。 2. 數據集成與支持：參與數據中臺建設，完成 ETL 數據整合；支持開發團隊設計評審，為科室提供技術諮詢與培訓。 3. 安全與合規：管控數據訪問許可權，加密敏感醫療數據；配合審計與監管檢查，落實合規整改。 4. 日常運維與監控：負責資料庫實例、許可權、性能調優；搭建監控體系（CPU、IO 等指標）；制定並執行備份恢復策略。 5. 技術迭代與應急：評估新技術（雲資料庫、分佈式等），制定升級遷移方案；制定應急預案，處置宕機、數據損壞等突發問題。

• Security Audits & Compliance: Execute internal and external audits, including documentation reviews, on-site audits, and vendor audits. • Risk Monitoring & Incident Response: Monitor security risks such as theft and unauthorized access. Assist in investigations and support corrective actions to prevent recurrence. • Client Project Support: Assist in implementing security plans for key customer projects. • Develop and update various security related documents (i.e., SOPs, policies, checklists, etc.). • Employee Training & Awareness: Develop, update, and support the delivery of physical security training programs focused on security awareness, theft prevention, access control, and emergency response. • Carry out other security-related tasks assigned by management

1.AI server BIOS 功能開發/除錯/驗證以及Release BIOS WFU/LVFS package。 2.配合硬體及工廠解決問題 3.BIOS安全性更新和 refresh 專案開發 4.支援客戶BIOS特殊規格需求更新

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=5308&source=1111 Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Intelligent Scheduling Development Department (ISDD) in TSMC‘s Intelligent Manufacturing Center (IMC) is responsible for the dispatch and scheduling of various TSMC fabs. It considers multiple constraints such as processes, machines, products, and waiting times, and employs three main methods: 1. Automated rules (Rule based) 2. Optimization through mathematical planning models (Model) 3. Optimization with metaheuristic algorithms (Metaheuristic) The system determines the sequence of products that machines will produce in the future. Colleagues continuously refine the computational engine to improve solving performance and scheduling quality. They also utilize self-developed scheduling systems to help fabs adapt to various scenarios to achieve fab goals and tasks. Moreover, they constantly enhance fab production efficiency and increase wafer output by identifying and capitalizing on opportunities for improvement. Responsibilities: 1. Develop and maintain Scheduling / Dispatching and Manufacturing Report System. 2. Communicate with users to define requirements, design, implement, and deploy systems, and continuously improve them using software engineering methodology. 3. Design system architecture of cross department projects. 4. Lead system design review. 5. Survey and introduce new IT solutions. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.