台大就業專區

主要負責: 路由器/交換機/服務器 1.NPI 產品生產過程中不良分析，找出產品設計bug，提供客戶改善建議。 2.量產異常分析，並協助CFT改善生產良率。 3.RMA/RCFA/ORT不良品失效分析，及時反饋產品問題並改善。 4.MRB不良物料失效分析，協助廠商分析推動零件良率改善。 5.3-Strike、疑難板及專案處理及分析。 6.產品技術資料整理及編寫 職務需求： 1. 電機電子、通訊工程相關科系專業 2. 2年以上失效分析相關經驗 ，熟悉半導體、電子元器件、電子電路領域的失效分析流程由家 3. 具備系統性思維，能通過實驗數據推導失效機理，熟悉FTA（故障樹分析)、8D、5Why等分析工具。 4. 熟悉路由器、交換機、伺服器等網路產品生產、測試及分析流程。 5. 熟練使用萬用表、示波器、頻譜分析儀等常用測量儀器測量相關電路及元件信號。

1.境外子公司財務規劃 2.台灣法人付款出納作業 3.境外子公司融資規劃 4.境外法人利匯率風險管理

網通產品 1.十年以上管理經驗(含2年以上團隊管理經驗) 2.具SMT、PCBA、電子、機構件採購經驗 3.具對應國際大廠客戶的經驗

1.統籌臺灣全域通關運營，制定高效合規的報關解決方案。 2.制定臺灣關務SOP，推動關務系統數位化升級，優化稅費成本並實施合法稅優方案。 3.構建臺灣關務合規與風控體系，主導內審及風險整改，確保業務合規有效性。 4.研判臺灣海關政策與貿易法規變化，評估業務影響並制定應對策略。 5.建立並維護與臺灣各級海關及政府高層的戰略關係，推進AEO認證管理。 6.搭建臺灣關務團隊與績效管理，協同內外部部門提供決策級合規支援。

1.統籌印度全域通關運營，制定高效合規的報關解決方案。 2.制定印度關務SOP，推動關務系統數位化升級，優化稅費成本並實施合法稅優方案。 3.構建印度關務合規與風控體系，主導內審及風險整改，確保業務合規有效性。 4.研判印度海關政策與貿易法規變化，評估業務影響並制定應對策略。 5.建立並維護與印度海關及政府高層的戰略關係，推進AEO認證管理。 6.搭建印度關務團隊與績效管理，協同內外部部門提供決策級合規支援。

1.通關業務處理：負責臺北地區日常進出口通關業務，包括單證審核、保稅管理、稅單處理及設備進出口管理，確保貨物及時清關。 2.合規管理推進：負責商品歸類編碼、原產地規則應用、單證合規性審查及授權管理；監督貿易方式合規性，應對貿易限制與保護措施，確保資料及系統合規性。 3.流程與系統優化：參與關務SOP起草與系統數位化升級，回饋優化建議並支援落地。 4.政策與審計支持：跟蹤海關法規變動，協助評估業務影響；協助準備AEO認證及海關稽查資料。 5.關係維護與協作：維護與海關及相關部門的公共關係，擔任報關行日常溝通視窗；對接內部物流、採購等部門，提供關務支持與諮詢解答。

1.單證與通關執行：負責印度進出口報關單證審核與清關操作，處理日常通關異常，確保貨物及時清關。 2.流程與系統優化：參與印度關務SOP起草與系統數位化升級，回饋優化建議並支援落地。 3.合規與稅費支持：執行合規內控流程，協助稅費計算與支付、原產地文件整理及優惠申請。 4.政策與歸類協助：跟蹤印度海關法規變動，協助評估業務影響；維護商品歸類資料，應對日常海關問詢。 5.審計與關係支持：協助準備AEO認證、海關稽查資料，擔任報關行日常溝通視窗。 6.跨部門協作：對接內部物流、採購等部門，提供關務操作支援與諮詢解答。

＜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. Lead the PM team, covering both NPI and sustaining projects. 2. Take lead projects from RFQ through NPI and MP stages until end of life. 3. Forecast/demand tracking, capacity, material preparation, and resource planning. 4. Manage AVL and ECN monitoring and implementation. 5. Conduct project risk analysis and resolve issues. 6. Drive cost management and cost reduction initiatives. 7. Coordinate with customers on NPI and MP project status as well as shipping plans.

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.薪酬福利管理 2.辦公室行政支持 3.流程開發與優化 4.其他主管交辦事項

1. 新產品導入及客戶生產驗證管理 2. 新專案整體readiness及設備管理 3. 專案規劃及協助 4. 跨部門溝通協作

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.客戶專案管理-專案之整體規劃與進度管理，確保如期如質完成 2.顯示器產品開發-參與顯示器產品之開發流程，含驗證與導入量產等 3.成本評估分析-產品成本評估與分析，優化成本結構與提升效益

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

電子製造廠專案管理 1.產品規格確認, 取得產品ROHS認證 2.OEM/ODM產品導入 3.產能評估與製造NRE報價 4.客責之製造費用報價, 呆料處理 5.跨部門合作解決工程問題 6.客戶來訪,客戶稽核接待與行程安排

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