交大專區

1. 設計端對端解決方案與技術選型 2. 確保方案遵循企業標準與整合性 3. 主導關鍵技術驗證與風險評估 4. 提供專案開發的架構指導與支援 5. 沉澱專案經驗與促進技術交流

＜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. 對於AI高階水冷工作站系統架構設計/接口定義感興趣 2. 負責物料開發及管理，確保開發流程順利 3. 制定系統測試與驗證計畫，追蹤及解決 issue 4. 跨部門協作與製程整合，處理 NPI 及量產階段的系統問題 5. 良好溝通能力與具客戶協作經驗

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

1. 指導並執行客戶端設備安裝、架設與維護 2. 負責現場需求溝通，協調並解決技術問題 3. 協助FAE團隊建置，並負責海外專案人力調配

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. 製造系統管理：熟悉 MES、SAP 系統之基本架構與運作流程，並進行 MES 系統帳號管理、權限設定與日常維運。 2. 系統操作與分析：熟悉資料查詢與報表工具（SQL、Excel Power Query、Power BI 等）能針對生產數據進行分析，協助製程改善與決策支持。 3. 基礎程式撰寫能力：進行簡單系統調整或介接（Java / C# / Python 其中一種）。 3. 資料庫與備份：熟悉資料庫操作（Oracle / SQL Server），能撰寫查詢語法並進行資料維護，了解備份與還原流程，確保系統與資料完整性。

1.電子產品的硬體設計人員 2.開發產品設計審查、品質規劃、自動化流程設計 3.具硬體電子電路設計、電路分析與除錯經驗 4.熟悉善用Allego等設計軟體 5.具電子零件如MCU控制器，MOSFET，電感，電容，LDO等有相當認知

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。

負責智慧城市企業用戶需求訪談、解決方案設計與專案管理，推動智慧城市專案落地 1. 熟悉B2B產品與解決方案設計 2. 具備跨部門溝通與需求訪談能力 3. 熟悉政府標案與大型企業客戶合作流程 4. 有智慧城市或數位轉型經驗尤佳

負責產品：Router/Switch/Wifi 1.NPI測試導入（test plan, strategy,equipment等） 2.測試程式開發,維護及優化 3.測試良率分析, 測試異常處理 4.測試產能分析及管理 5.ECN/Deviation 執行導入 6.測試設備的架設及維護 7.測試網絡維護,工程師技能訓練,測試技術支持 8.測試檔制定,發行及產綫作業員的培訓 9.測試資安,EHS 10.推動測試持續優化,測試生產率提升等 11.測試新技術推動,自動化,數字化等 12.對客戶工程服務輸出 13.自動化設備導入評估/規劃/優化/改善/異常處理/維護保養/管理 14.項目及專案管理

• 維運與監控雲端平台，確保AI算力服務穩定運行 • 實施雲端成本監控與資源優化策略 • 協助客戶技術支援，回應平台使用與故障排除需求 • 執行資安政策（MFA、IAM、加密存取等）與備援機制 • 撰寫技術文件與SOP，支援團隊知識管理與訓練 • 協助跨部門專案導入，並推動AI雲端解決方案落地

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. 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.與團隊合作提出 MB placement 2.高速訊號;高功率線及RAID support的理線規劃,並與廠商檢討cable設計達到品質要求 3.開發過程中將客戶service 需求導入設計方案中 4.產品開發過程中釐清問題;解決問題.

1.SAP ABAP 客製程式撰寫 2.SAP 導入系統協作評估及計畫 3.客製需求分析及管理 4.熟悉 SAP HANA、MS SQL、ORACLE 任一資料庫操作及管理 5.BPM 維護與客製開發

1. 伺服器/壓力/相容性測試, 韌體除錯 BIOS/BMC 測試 2. 執行業界標準驗證規範, 專案管理與技術溝通 3. 用軟體撰寫測試自動化

1.負責伺服器電磁兼容相關產品設計、開發等工作，對線路原理圖、結構設計圖等進行評審，確保結構硬件設備符合電磁兼容標準，降低EMC風險. 2.負責伺服器產品的電磁兼容測試工作，制定產品測試計劃，完成產品電磁兼容測試及測試報告. 3.負責伺服器產品電磁兼容問題整改，優化電磁兼容設計方案，保證產品項目順利進行.