轉職熱搜工作

• 核心職責: 在這個角色中，您將成為確保我們電力系統工程現場安全衛生的關鍵人物。您的工作不僅包括規劃和執行安全衛生措施，還包括進行現場檢查、提供教育訓練，並在內外業作業中提供協助。 • 專業與督導職責: 您將負責督導並協助安全衛生環保資料的統計和報告，召開工地的定期和不定期安全衛生環保會議，並建立及執行相關的作業流程、規章和通報系統。 • 能力要求: (A.) 必須持有乙級勞工安全衛生管理技術士證照，甲級勞工衛生(安全)管理師資格者優先考慮。 (B.) 應具備優秀的溝通能力，能有效協調和管理安全衛生相關事宜。 • 了解更多信息: 欲知詳情，請訪問我們的官方網站。 https://sites.google.com/reignengineering.com/official-website

一、伺服器 1. 與團隊進行Server機構結構設計 2. 產品開發過程與各Function team進行結構設計檢討與改善 3. 量產前需與工廠檢討量產問題分析與問題改善 4. 生產過程中能及時解決生產問題 二、伺服器機箱 1. 與團隊進行Server機櫃機構結構設計 2. 產品開發過程與各Function team進行結構設計檢討與改善 3. 量產前需與工廠檢討量產問題分析與問題改善 4. 生產過程中能及時解決生產問題

1. 有經驗者佳，認真且有責任心。 2. 熟REVIT軟體MEP以及AutoCad操作能力。具有REVIT與NAVISWORK整合應用能力。 3. 可識各工程平面圖:空調.機電.管線......等。 4. 協助圖說送審相關作業，繪製機電施工所需相關施工圖及CSD/SEM圖面。 5. 配合工程檢討，機電系統干涉疑義圖，REVIT 3D轉成管路2D施工圖、料表等。 6. 使用REVIT軟體，繪製/變更機電五大系統模型，機電與建築穿樑套管整合圖。 7. 完成主管交辦事項。

＜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. At least 5 years of experience in embedded system, FreeRTOS is a plus 2. Familiar with C/C++, Linux, TCP/IP, Streaming 3. Familiar with Reatlek, OmniVision, Sigmastar, Rockchip, Ambarella, Hisilicon or any IP camera platform. 4. Excellent troubleshooting and problem-solving skills. 5. Well communicate with different team such as Hardware, Audio, Optical, IQ, DQA, customer, etc. 6. Familiar with Git control tool

1. Lead the lead of firmware team for server project. 2. Study technical issue for project‘s needs. 3. Review & sign off requirement specification. 4. Review engineer design. 5. Review function/interface specification. 6. Review bug fixing. 7. Help the design and review the common definitions for debugging and profiling.

1. Support customers through the development process, debugging during the New Product Introduction (NPI) stage. 2. Validate customer use cases to ensure they align with the recommended operation range specified in the module datasheet. 3. Provide technical support and engage in face-to-face discussions with customers

- 車用智能座艙控制器之韌體撰寫與維護 - 驅動程式移植與維護 - 問題分析/效能優化/架構設計/功能模組化 - 車用開發文件撰寫彙整

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.