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.

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.

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.負責儀器操作及檢驗工作 2.產線異常反饋及異常單填寫 3.檢驗日報表整理 ★工作地於高雄大寮 ★此職務為班別為初期三班制，依照產線規劃會調整為四班二輪(做二休二)班別，可配合常夜優佳 三班制(早):08:00~16:30 三班制(中):16:00~00:30 三班制(夜):24:00~08:30 四班二輪(日):07:30~19:30 四班二輪(夜):19:30~07:30 津貼如下: 績效獎金:0~2000元/月 全勤獎金:0~1500元/月 輪班津貼: 中班:200元/天 晚班:450元/天

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

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

1.Server BMC 功能開發/除錯/驗證 2.配合硬體及工廠解決問題 3.支援客戶BMC特殊規格需求更新

1.Server BMC 功能開發/除錯/驗證。 2.配合硬體及工廠解決問題 3.支援客戶BMC特殊規格需求更新

1. 使用 VHDL/Verilog 進行 CPLD 電路邏輯開發。 2. 執行模擬、合成與晶片燒錄，並進行 Debug。 3. 設計 I²C、SPI、UART 等數位介面，與硬體電路整合。 4. 確保設計符合時序需求，並優化資源與功耗。 5. 產出設計規格書/測試報告，並與韌體、製造團隊協同作業。

1. 生產設備維護/產線運作管理。 2. 督導設備故障排除/製程良率改善。 3. 規劃組裝測試及技術移轉作業。 4. 建立並優化SOP與操作文件。 5. 主導部門會議、推動改善專案。 6. 人員作業安排/團隊培訓。 7. 裝機排程確校及報告撰寫。 8. 其他上級主管交辦事務。

1. 儲備幹部學習各項投資職能，投資管控流程，集團產品與產業功能 2. 適合工作經驗2年左右，有工作與實務的結合，對接世界級企業與開拓眼界的機會 3. 學習投資項目案源開發、分析評估 4. 學習基金財務模型、投資標的可行性評估及執行推進 5. 協助主管執行及追蹤大型專案開發進程，利害關係人管理，確保專案如期如質進行 6. 學習進行海外產業及新興科技等產業研究、市場動態及趨勢分析 7. 配合主管各地執行現場盡職調查 8. 協助投資文件審核，協助完成集團內投資程序

1. 負責試/量產之功能測試不良品分析 2. 負責試/量產之功能測試不良品維修 3. 負責試/量產之功能測試不良品回饋製成問題至產線進行改善 4. 負責試/量產之功能測試不良品零件不良分析報告

1.優化現有工作流程，推動自動化、智能化或數據化管理。 2.制定自動化團隊的工作計畫、任務分配與進度管控。 3.統籌廠內生產線的自動化專案推動、設備與系統整合優化，以及跨部門溝通協調。 4.對接製造、製程、設備及IT等單位，解決生產線上的痛點。 5.異常監控、防範及處理。 6.人員管理。

【半導體產業龍頭，技術先行者】 ★薪優福利多！年薪上看14~24個月，再享員工分紅 ★安心好食在！免費供餐，多元美食任你挑選 ★暖心好照顧！豐富社團活動、旅遊津貼、2000家特約商店！ 【工作內容】 1.處理、分析及規範制定生產流程異常 2.驗證產品導入量產與改善製程 3.管理、執行與規畫專案 4.客戶服務、技術支援 5.主管交辦事項

廠內即時派貨系統維運及建置:（需求1人) a. 產線派貨需求開發，使用平台：AMAT APF b. 最佳化系統及自動化專案參與 c. 機台警示系統維運 廠內最佳化生產排程系統維運及建置:（需求1人) a. 生產排程數學建模及演算法開發 b. 最佳化系統維護及自動化專案參與 c. 生產排程資料、派貨資料分析及視覺化 廠內生產KPI報表系統維運及建置:（需求1人) a. 生產KPI報表規劃、設計、開發及視覺化 b. 現有報表改善暨維護 c. 資料庫及AP Server基本管理

1. 負責UF設備相關的製程改善，提高生產良率及效率； 2. 負責印幹招募培訓及日常管理及協調； 3. 負責線體規劃，設備可行性方案評估/驗證/導入/運維； 4. 負責產能/良率/成本等工程相關KPI指標達成； 5. 負責UF設備數字化相關專案實施規劃、專案管理和專案工作推進； 6. 負責新產品人力、耗材、線體規劃等標準制定； 7. 推動UF流程標準化、智慧化及業務流程改善創新； 8. 維持良好的客戶關係，確保客戶滿意度逐年提升。

1. 負責SLAM算法的開發、移植與測試 2. 負責SLAM算法的優化與產品化 3. 負責調研相關領域的前沿技術進展及產品應用場景，結合公司規劃開拓創新

1.主導公司人形機器人技術發展之藍圖與策略規劃，實現系統研發與產品落地。 2.帶領團隊開展人形機器人核心技術，涵蓋運動控制、機械結構設計、感知系統、人工智慧、語音交互、仿生演算法與人機協作技術等。 3.整合軟硬體、電控與演算法等跨領域團隊，推動專案從技術驗證至產品化的全週期執行。 4.結合市場趨勢與公司策略，制定技術演進路線與階段性目標，確保產品具備商業可行性與技術領先性。 5.參與高層技術決策，定期向管理層彙報專案進展及風險控制方案。 6.推動技術引進與資源整合，拓展學界、業界及供應鏈等合作夥伴關係。

1. 開發暨維護企業客戶或政府單位及公家機關客戶需求，確保營收持續增長並創造更高業績。 2. 提供客戶專業的顧問式服務，協助挖掘痛點，導入提升營運效率及創新商轉之技術應用。 3. 優化既有業務與服務品質，制定及執行銷售策略及計劃，帶領團隊達到部門營業目標。

1. 需具備職業安全衛生管理員(乙級合格證照)。 2. 出席各種協議組織會議、規劃、督導安全衛生設施之檢點與檢查。 3. 工班進場管理，督導相關人員實施巡查、自駐檢查及作業環測。 4. 負責施工現場安全衛生查核。 5. 負責工地勞安查核。 6. 局限空間作業監視作業管理。 7. 每日巡檢、勤前會議、教育訓練、勞安缺失改善、勞安文件製作及管理。 8. 其他合約規定事項、主管及機關/專管單位/監造單位交辦工作。 9. 具備公共工程經驗尤佳。 備註：實際工作地點有內湖區、信義區、中正區，視隷屬的專案而定