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工作時間：09:00~18:00，週休二日使用 Cocos Creator 開發及維護 H5 老虎機遊戲。負責遊戲的狀態流程、UI 介面、遊戲機制的實作。使用 WebSocket 及 API 串接後端遊戲數據及流程。掌握現有架構，並持續擴充及優化遊戲庫。持續維護、優化已上線的產品，確保遊戲穩定性及性能最佳化。

CHI TIẾT CÔNG VIỆC: Phối hợp chặt chẽ với các dev để tích hợp các chức năng đã được lập trình vào front-endSản xuất và test tương thích cho nhiều trình duyệt, nền tảng khác nhauNghiên cứu các sản phẩm công nghệ mới

前端工程師（2+ yrs）— 醫療影像AI平台 把醫療影像的複雜度，轉成臨床好用的介面。 地點：台北（Hybrid）• 工作模式：台灣境內 Remote 友善 為什麼加入 RADAX.ai 我們正在打造企業級醫療 AI 平台，把複雜的影像判讀轉化為更快、更安全的臨床決策。平台整合先進影像處理、多元診斷模型與院內系統（PACS／HIS），讓醫療流程真正順起來。你將親手上線臨床可用的功能，並與經驗豐富的軟體工程團隊和 AI 團隊一同精進—其中包含受過史丹佛訓練的醫師工程師。 你將會參與 前端功能的開發流程（設計→開發→上線→迭代）。設計、優化 AI 整合 UI/UX（如 AI 影像標註、LLM 助理、Study List 工作流）。與放射科醫師、資料科學家、後端工程師協作，定義真正符合臨床的流程。提升產品品質：效能、易用性、穩定度與務實的測試。 我們期待你 主動溝通、重視協作。在「速度」與「品質」間拿捏得宜。以產品與使用者為核心思考，而不僅是工程角度。樂於挑戰新領域。富有有創造力，能以務實且創新的點子解決複雜問題。 資格要求 2 年以上前端開發經驗。熟悉 React、TypeScript。熟悉 Git 協作流程。對 2D/3D 圖形概念有基本理解（如座標系統、轉換）。願意去閱讀與理解 third-party library 的文件和 source code。具備使用 AI 工具輔助開發的實務經驗。 加分項目 Canvas/WebGL 或影像處理相關經驗。處理醫療影像相關經驗（我們目前使用 Cornerstone3D 處理醫學影像）。Electron 桌面應用程式開發經驗。參與過測試相關實務經驗（E2E、整合測試或單元測試）。了解臨床流程、PACS/RIS。 你將獲得 開發的功能會實際上線於臨床場域。與 AI 團隊跨域學習，包含受史丹佛培訓的醫師工程師。早期新創的高影響力與快速成長，你的意見能形塑產品走向。薪資：依職級／資歷彈性核定。股權：提供股權參與機會（依職級／貢獻而定）。 投遞方式 請寄履歷／GitHub／作品集至 [[email protected]]，主旨註明「Frontend Engineer – RADAX.ai」。也歡迎附上一個你最自豪的 UI 作品與簡短說明。通過初選者將於 14 個工作天內收到聯繫；未入選者恕不另行通知，我們會將資料保留以供未來職缺參考，感謝理解。

我們正在尋找熱愛技術、樂於解決問題的軟體工程師，一起打造能真正改變使用者體驗的產品。 在飛空艇科技，你將參與從系統設計、開發、測試到上線維運的完整流程， 不僅是「寫程式」，更能從產品視角思考技術如何創造價值。 主要工作內容包括： 根據專案需求設計與開發後端 / 前端 / App 系統功能 撰寫乾淨、可維護的程式碼，並持續重構與優化 與團隊合作，將想法實現成可用的產品 參與系統架構討論、流程設計及技術決策 維護既有系統，進行錯誤修正與效能改善 撰寫技術文件，確保開發過程透明可追蹤 您可以只熟悉前端、後端或是App開發技術，但我們您有意願成為全面性的軟體開發人員， 我們希望未來所有的夥伴都是全端工程師，都能夠一起成長、茁壯。

⭐️ 具競爭力的薪資⭐️ 實力堅強的技術團隊 將複雜的交易功能，轉化為高度互動、直覺易用的操作介面，確保從電腦到手機等不同裝置，都能提供一致且流暢的體驗 。主動發掘並優化現有網站的效能瓶頸，並與團隊一同構思、開發新的功能與專案。與後端團隊緊密協作，穩定地介接 RESTful API 與 WebSocket，確保每一筆交易數據都能即時且準確地呈現 。

工作描述： 我們正在尋找一位充滿熱情的資深後端工程師，加入我們充滿活力和創意的團隊！這個職位將讓你負責設計並開發高品質的後端資料庫，並與設計師、前端工程師和產品經理緊密合作，確保我們的產品不僅技術強大，還能帶給用戶無與倫比的體驗。如果你對解決挑戰充滿熱情，並希望在動態的環境中發揮你的專業技術，這是你大展拳腳的最佳舞台！ 工作職責： • 熟悉 Java Spring Boot 相關技術，負責設計、開發並維護高效能、高可用性的後端服務。• 撰寫並維護 RESTful API，確保與前端和其他系統的順利整合。• 進行系統效能調優與故障排除，確保系統在高流量下穩定可伸縮。

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. Provide comprehensive delivery plan / demand vs supply analysis / logistic services to customer.Coordinate internal planning team through front-end wafer to far-backend package to meet customer's delivery target of each configuration.Manage logistic service and schedule monitoring related projects.

The Role At Circle, the Software Engineer Team is responsible for: Developing and maintaining all customer-facing products, including firmware, web/app applications, database management and cloud infrastructure. Focus on delivering real-time, easy-to-use and robust applications. Handling a large amount of requests and scaling efficiently. As a fullstack engineer, you will participate in product development. You will build our UI from design, construct backend API, and manage entire server infrastructure. This includes all associated areas such as database and architecture design. You will expand your experience in building machine learning products and collaborate with AI researchers and engineers on industry-leading applications that process vast amounts of data What You'll DoImplement the features and user interfaces of Circle products Architect efficient and reusable front-end systems that drive complex web applications Optimize our web application performance to ensure great user experience Design and build scalable REST APIs for Circle AI products. Performance optimization, database management, and system horizontal scaling. Participate in code reviews to maintain a high-quality code culture. You will face streaming, network, computer vision, machine learning, application optimization, and cloud infrastructure issues very often. You will work with a diverse team of different foreign backgrounds wherecommunication skills matter. We are moving fast to handle a dramatically increasing number of connected devices. Scalability and efficiency are our chief concerns.

【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

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. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally.In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices