轉職熱搜工作

*休假日加班倍率優於勞基法* 【工作內容】 1.處理打樣線內設備及良率異常，確保生產順暢 2.進行打樣鋼板上下線檢驗，確認品質符合標準 3.核對物料與產品品質，確保符合生產需求 4.領取及準備生產所需物料 5.油墨報廢分類、廢棄物清理，並執行實驗室 5S 管理 【優質福利】 * 員工餐廳與用餐補助 * 室內免費機車停車場 * 每季生產績效獎金 * 員購優惠 * 員工宿舍 *歡迎與眾不同的你加入晶碩光學的行列*

*休假日加班倍率優於勞基法* 【工作內容】 1. 彩片生產良率異常蒐集、彙整及回報。 2. 彩片生產良率維護預防及改善資料表更新 。 3. 異常覆判與現況確認及調整預防。 4. 協助資料蒐集及規範建立。 5. 產品測試與樣品製作。 * 無經驗可 * 【優質福利】 * 員工餐廳與用餐補助 * 室內免費機車停車場 * 每季績效獎金 * 員購優惠 * 員工宿舍 *歡迎與眾不同的你加入晶碩光學的行列*

1. 產品開發: ●機構:零部件/模組設計開發, DFM, 零部件承認, 治工具開發及協作 ●電子:各PCBA設計開發, Layout佈局, 治工具開發及協作, 安規相關項目確認 2. 產品技術PM : 規格分析/製程工藝/BOM/標準文件建立及協作

*休假日加班倍率優於勞基法* 【工作內容】 1.射出異常處理維修、定期保養 2.設備裝機與功能測試，定位線作業 3.模具異常處理維修、定期保養 4.巡查作業流程，是否符合標準程序 5.分析停機 Down time 原因及改善對策。 6.耗材領用與備品管控 7.儀器校驗 8.其他主管交辦事項 職務班別：做五休二/做四休二 工作時間：休息2.5小時、實際工時9.5小時(每三個月日夜輪班乙次) 日班:08:30-20:30 夜班:20:30-08:30 日班總月薪約 43,000元起； 夜班總月薪約 50,000元起； * 實際薪資依據學經歷核定 * 【優質福利】 * 員工餐廳與用餐補助 * 室內免費機車停車場 * 每季生產績效獎金 * 員購優惠 * 員工宿舍 *歡迎與眾不同的你加入晶碩光學的行列*

＜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.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. System design and research on 3GPP NR (New Radio) and 6G technologies including multiple access, frame structure, synchronization, MIMO, physical channel/signal design, and Layer1 procedure. 2. Support Intellectual Property related delivery and procedures. 3. Standardization activities including technical document submission, new feature monitoring and exploration, and cooperation with other leading companies. 4. Teamwork with experts on communications and networking globally in SHARP.

1. ERP 系統維運與優化： 負責鼎新 T100 或 Tiptop 系統日常運作，針對餐飲業態（如： 多門店調撥、食材 BOM 表管理、餐飲成本結算）進行流程梳理與程式優化。 2. 跨系統整合（POS/SRM/BPM）： 負責前端 POS 系統營業數據拋轉 ERP 之資料介接， 並維護 BPM（門市/總部電子表單簽核）與 SRM（食材供應商採購、詢比議價、交貨） 的系統整合。 3. 需求分析與規格開立： 收集營運、財務、採購等跨部門需求，評估系統架構合理性，並 撰寫客製化規格書。 4. 教育訓練與技術支援： 編寫系統操作手冊，並針對總部後勤、門市主管及外部供應商進 行教育訓練與系統異常排解。 5. 資料庫與效能管理： 監控系統效能與 Oracle 資料庫狀態，確保營業機密資訊安全、各店 權限控管與資料完整性。