清大專區

＜About the Job＞ We are looking for a highly motivated and skilled AI Infrastructure Engineer with strong hands-on experience in Kubernetes (K8s), particularly in supporting AI/ML workflows. In this role, you will be instrumental in designing, implementing, and maintaining robust, scalable, and high-performance Kubernetes-based infrastructure that supports the entire lifecycle of our AI applications—from data processing and model training to deployment and monitoring. You will work closely with data scientists, AI/ML engineers, and DevOps teams to ensure seamless integration of AI/ML workloads within cloud-native environments. The ideal candidate has a deep understanding of container orchestration, distributed systems, and MLOps practices, and is passionate about building efficient, reliable platforms that enable rapid AI innovation. This is a unique opportunity to work at the intersection of AI and cloud infrastructure, contributing to next-generation systems that power intelligent applications at scale. ＜Job Responsibilities＞ ．Design & Architecture: Design, build, and scale a reliable and efficient Kubernetes platform optimized for AI/ML workloads. This includes provisioning GPUs, managing resources, and ensuring optimal performance for computationally intensive tasks. ．Infrastructure Management: Manage the entire Kubernetes cluster lifecycle—from provisioning and configuration to ongoing maintenance, monitoring, and troubleshooting, ensuring high availability and scalability. ．Deployment & Automation: Develop and implement CI/CD pipelines to automate the deployment, scaling, and updating of machine learning models and AI services. Ensure seamless integration with AI tools like Kubeflow, MLflow, and Argo Workflows. ．Performance Optimization: Continuously monitor and optimize system performance, focusing on resource utilization, latency reduction, and improving the overall efficiency of AI workloads. Ensure high availability and minimal downtime for AI services. ．Collaboration & Guidance: Work closely with data scientists, ML engineers, and cross-functional teams to understand their infrastructure requirements and provide technical solutions to meet workload demands effectively. ．Security & Compliance: Implement best practices for cluster security, including network policies, access controls, and vulnerability management to safeguard sensitive data and maintain compliance. ．Cost & Resource Efficiency: Manage resources effectively to optimize cost while maintaining high-performance infrastructure for AI model training, inference, and data processing. ＜Skills & Qualifications＞ ．Kubernetes Expertise: You should have hands-on experience with Kubernetes (K8s) architecture, including deploying applications, managing resources, and troubleshooting complex cluster issues in a production environment. ．Containerization & Linux Environment: Strong knowledge of container technologies such as Docker, along with hands-on experience in Linux environments. Expertise in container orchestration and deployment practices is highly valued. ．AI Workloads: Deep understanding of GPU scheduling and performance optimization, including strategies for resource allocation, workload balancing, and maximizing throughput for AI/ML tasks. ．Automation & CI/CD: You need practical experience with building and managing CI/CD pipelines using tools like GitLab CI, Jenkins, GitHub Actions, or ArgoCD to automate deployments. ．Programming & Scripting: Proficiency in at least one scripting language (e.g., Python, Bash) is a must. ．Networking: Knowledge of container networking and service mesh technologies (e.g., Istio, Linkerd) is highly desirable and a great advantage.

1. AI PC MCU韌體(Embedded Controller)/FreeRTOS 程式開發、更新、維護 2. AI PC MCU韌體(Embedded Controller)/FreeRTOS 研發時程及可行性評估 3. AI PC MCU韌體(Embedded Controller)/FreeRTOS 規格的review與分析 4. 專案執行與相關功能團隊合作 5. 良好的溝通協調能力 6. 具備產品分析與問題解決能力 7. 對工作具備熱誠 8. 具備邏輯思考能力與抗壓性

We are seeking a software project manager to join our development team. In this role, you will be responsible for the following tasks: 1. Project Planning & Management - Define project plans, schedules, and resource allocation. - Track project progress to ensure on-time delivery and quality. - Identify risks and work with the team to resolve potential issues. 2.Cross-functional Coordination -Collaborate with development, QA, UI/UX, DevOps, and other teams. -Act as the bridge between clients, business stakeholders, and the engineering team. -Requirement Management 3.Gather, analyze, and confirm requirements, and draft Project Requirement Documents. -Help stakeholders define features and prioritize the product roadmap. -Quality, Delivery & Issue Tracking -Monitor milestones and deliverables to ensure quality standards. -Track bug issues, assign ownership, and follow up on resolution to ensure timely fixes and product reliability. 4.Reporting & Communication-Provide regular project status reports to leadership and stakeholders. -Perform system function demos to leadership and stakeholders to showcase progress. -Draft, review, and maintain user manuals and operational documentation to support end-users. 5.Administrative Support -Assist in internal administrative processes, including form creation and submission. -Handle expense applications and reimbursement requests. -Support supervisors with preparing presentations, documents, and reports. ## Requirements: - 5+ years of experience in software or technology companies. - 2+ years of experience as project or product manager. - TOEIC 800 or higher level. - Excellent communication skills in Mandarin and English. - Quick learner of new knowledge.

1. 負責雲端平台的架構設計與開發實現，支撐端雲一體化整合方案的技術落地，保障雲端系統與終端設備的高效協同及穩定運行。 2. 參與慢病管理平台、醫院HIS系統數據通道等基礎架構的雲端技術搭建，設計並實現FHIR協議數據互通的雲端解決方案，確保全場景數據流暢傳輸與交互。 3. 基於客戶需求，進行雲端系統的定制化開發與優化，參與解決方案及系統設計說明書中雲端部分的編寫，明確雲端應用與設備端產品的整合邏輯。 4. 與FAE、業務團隊協作，理解客戶在端雲項目各階段的雲端需求及問題，參與解決方案的討論與制定，跟進雲端功能的開發與交付進度。 5. 制定雲端平台的交付規格，明確技術標準與FHIR&DICOM協議接口規範，確保雲端系統交付符合客戶預期，同時配合項目團隊完成雲端部署的技術支持。 6. 編寫雲端開發相關的技術文件，包括微服務架構設計、接口說明、開發指南及TFDA相關資安文件，參與客戶的雲端解決方案簡報，根據反饋調整雲端技術方案。

Work with ID/MD/HW/SW team for Acoustic related design, testing, fine tune, certification, and customer acceptance; including RFQ review, Test plan buildup, ID/MD/HW/SW Design review (acoustic related items), Voice quality Verification, Voice quality fine tune, and MFG line test setup.

1. 規劃及執行 AI Server or NB/Compute Node/GPU 等之系統整合測試。內容包含硬體/軟韌體/相容性/效能/産品功能等。 2. 產品品質問題追蹤、分析及改善。 3. 依照專案任務需求和客戶開會報告。

1.客戶對接及專案執行 2.海外廠區出差協助 3.ISO27001認證導入及體系運維 4.風險評估及改善 5.IPGuard, Nessus Pro, 防毒管理運維/監控/異常處理/升級/優化等理

1. 產品安全管理 2. 工廠EHS督導和管理 3. 客戶應對及專案推動 4. 部門組織運作及優化 5. 工廠建設相關安全工作推動

1. 注塑或者鈑金件開發 2. 生產製造 3. 機構類產品NPI項目管理

1.Monitor applications in real time and handle abnormalities or errors. 2.Conduct troubleshooting, root cause analysis, and issue resolution to maintain system stability. 3.Support application optimization and small-scale development tasks. 4.Write and update maintenance process documentation, providing operational guidelines and best practices. 5.Monitor and maintain servers, networks, storage, and application systems to ensure high availability and stable operations. 6.Quickly diagnose, isolate, and resolve system and network issues, escalating incidents when necessary to minimize operational impact. 7.Perform scheduled maintenance, including system updates, patching, backups, and hardware checks. 8.Collaborate with IT, manufacturing, and engineering teams to align maintenance work with business objectives and drive improvement initiatives. 9.Document maintenance activities, incident handling, and solutions, generating reports for the day-shift team and management review. 10.Assist with system upgrades, new infrastructure deployments, and testing/monitoring of automated processes. 11.Participate in rotating day/night shifts to ensure 24/7 system availability. 12.Provide guidance and support to less-experienced team members when required.

1. 獨立負責服務器專案 PCB Layout方案評估， Placement，Constraint 設定，Routing與 Gerber out，全流程工作 2. 協助解决産品開發階段PCB廠,PCA廠生産問題（DFM/DFT）。 3. 專案Placement及走線評估。

1. 產品安全管理 2. 工廠EHS督導和管理 3. 客戶應對及專案推動 4. 部門組織運作及優化 5. 工廠建設相關安全工作推動

主要職責 產品：網路交換機 1.NPI新產品/新工藝導入，熟悉基本的英語交流 2.設備移轉，接收，架設 3.設備相關工作安排，人員管理培訓 4.設備配件請購管理 5.設備異常維修，品質預防跟蹤處理 6.設備保養規劃與執行，含周/月/計/年 7.對設備進行CPK評估，確保設備穩定度 8.對設備進行軟體安裝及參數備份及程式編成 職務需求： 1.具備電子行業相關製程/設備工作經驗，熟悉工程環境，能夠分析產品異常，給出解決方案和對策 2.熟悉電子產品SMT製程 3.熟悉設備維護/操作/保養…等

1.客戶質量對接與需求轉化（質量數據,改善進展等) 2. 新產品導入品質管控（品質管制計劃制定/MIL 檢討改善/品質數據收集/產品判定外觀檢驗規範製作) 3.制程異常分析&改善跟進;8D&CAR製作 4.品質系統搭建/優化 5.產品質量體系審查及追蹤改善 6. 質量數據監控與報告

1. 結構強度模擬分析(Server/AI Server等) 2. 支援結構性測試(衝擊/震動/落摔)送測-台灣 3. 支援熱傳溫度/噪音測試-台灣 4. 偕同不同function team合作進行驗證、分析與解決問題 5. 模擬新技術導入與研究 6. 模擬工具二次開發

1. 負責制定/執行量測儀器校驗計畫，包含：外校聯繫、內校建立等 2. 負責主導/執行品質管理系統和生產過程中所需的確效文件，包含：製程設備、檢驗儀器、電腦化系統等 3. 負責制定/監督關鍵製程和製程偏差，推動改善計畫並追蹤效果 4. 負責制定/撰寫原材料、過程產品、最終產品的檢驗規範與允收標準，監控供應商來料品質 5. 負責檢驗/追蹤重工和維修產品，並組織技術人員對重工產品進行根因分析 6. 協助執行/撰寫生產過程中的檢驗文件，包含：IQC/IPQC/FQC/OQC (兼QC職務) 7. 完成主管交辦事項

1. 參與客戶會議，對應客戶指示與需求。 2. 參與客戶散熱設計開發過程。 3. 熱分析與模擬，使用CFD進行熱流模擬。 4. 測試與驗證，失效分析與報告產出。

1. 營業目標管理：負責月度/年度營業目標制定、追蹤及達成。 2. 庫存與呆滯品管理：監控成品、半成品及材料庫存天數，落實呆滯品清理計劃。 3. 生產排程管理：主排程計劃制定與執行，協調並安排生產排程，處理生產異常。 4. Forecast & Commitment 管理：負責需求預測與承諾量的制定與追蹤，確保供需匹配。 5. 試產與量產管理：試產流程運行與監控，量產出貨跟催，確保交付準時及品質達標。 6. AR 管理：協助應收帳款管理，確保客戶付款流程順暢。 7. 跨部門協作（CFT）：與研發、工程、製造、品質及供應鏈等團隊密切協調，確保專案順利推進。 模組產品：Wi-Fi模組、5G模組、Power Module

1. 使用者介面開發： 負責開發高品質、高效能、響應式的醫療系統前端應用程式與操作介面。 2. 組件化架構實踐： 設計、開發並維護可複用、可擴展的標準化前端組件庫。 3. API 數據串接： 與後端團隊協作，串接 RESTful API 或 GraphQL 接口，實現前後端數據交互。 4. 應用程式狀態管理： 負責複雜前端應用的狀態管理機制設計與實現（如 Redux, Zustand）。 5. 前端效能優化： 分析並優化應用的載入、渲染與運行效能，提升使用者體驗。 6. 確保程式碼品質： 撰寫單元測試、組件測試與端到端測試，並參與程式碼審查（Code Review）。 7. 前端工程化建設： 維護專案的建構工具鏈（Webpack/Vite）與 CI/CD 流程。 8. 瀏覽器兼容性與調適： 確保應用在主流瀏覽器與不同設備上的兼容性與一致性。 9. 跨團隊協作： 與 UI/UX 設計師、產品經理、後端工程師緊密合作，將產品需求高效落地。

1.次世代HIS系統微服務設計與開發： 負責次世代HIS系統雲端微服務設計與拆分。 進行核心業務模塊的後端微服務API開發與接口設計，實現前後端分離架構的前端界面API開發與交互功能。編寫技術文檔、設計文檔及API接口文檔。 2. 數據湖架構設計與搭建： 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。 3. 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。開發與LIS、PACS、EMR等醫療系統的集成接口，實現HL7、FHIR等醫療數據標準的數據交換，確保醫療數據傳遞的準確性和完整性。 4. 雲平台容器化部署與運維管理 建立和維護CI/CD自動化部署流程。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） 5. 跨部門協作與需求實現