轉職熱搜工作

【職缺亮點】因應次世代AI伺服器高功率、高耗能的測試與生產環境，接觸水務、氣體、電力等先進廠務系統，累積科技大廠實務維運經驗。 1. 公共設備例行性巡檢與抄表：負責廠區內各項公共設施、廠務系統（電力、空調等）的每日定期巡檢、數據抄錄與運轉異常回報。 2. 廠區全方位系統修繕與保養：執行新廠房之日常修繕維護，包含水務系統、氣體系統、電力系統及基礎設施設備的故障排除與保養。 3. 節約能源業務推動與執行：協助配合資深工程師，執行廠區日常節約能源（如照明、空調優化）之庶務推動與數據統計分析。

銷售工程師 南部地區(無需進辦公室) 喜歡跑客戶、不愛被關在辦公室嗎？這個銷售工程師就是為你設計的工作！ 在南部各地自由穿梭，跟著自動化產線一起升級成長！ 你將專注於以下自動化產品與系統的推廣與銷售： 1. PANASONIC 可程式控制器（PLC）與自動化控制解決方案銷售 2. 伺服馬達與相關運動控制產品銷售與技術溝通 3. 各式傳感器產品介紹與應用情境建議 4. EPSON 機械手之產品推廣、應用洽談與客戶服務 5. PROFACE 人機介面（HMI）之規劃建議與銷售 6. 明緯電源供應器之選型推薦與銷售追蹤 7. 變頻器及各式自動化電氣控制零組件與系統整合之銷售與客戶關係維護 如果你對工業自動化有興趣，又喜歡有彈性、不打卡的業務工作， 歡迎加入我們，一起把南部市場做大做強！

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.Develop and maintain BMC firmware for AI servers, including OpenBMC platform bring-up and feature development (embedded Linux experience acceptable if no prior OpenBMC exposure). 2.Implement and integrate low-level drivers (U-Boot, Device Tree, Kernel), covering I2C, SPI, PMBus, GPIO, and other interfaces. 3.Build and maintain BMC sensor monitoring, FRU/SDR tables, fan/power control, and event log systems. 4.Implement management protocols and firmware update mechanisms (IPMI, Redfish, PLDM, MCTP). 5.Integrate Secure Boot / TPM / SPDM security frameworks. 6.If experienced with NVIDIA HGX/DGX/NVSwitch projects, support GPU power/thermal control, firmware updates, and OOB management integration. 7.Prepare design documents, test plans, mass production support materials, and debug reports.

Description: You will play a key role in specifying, designing, developing, validating and releasing key functional test stations for factory Mass Production use. Partition tests across module, sub-assembly, and system level that is optimized for cycle time, yield, cost, and risk. Responsibilities: Designing, developing instrumentation hardware, software & firmware platforms required to test and calibrate product key functional modules Prototyping, bring-up, debug and characterization of instruments for AR/VR products Preparing and delivering tester’s technical documentations and presentations Establish acceptance criteria, guard-bands, and GR&R plans; drive DFT/DFM/DFX with design teams Vendor liaison, including supporting instrumentation bring up and qualification that meet project timelines

＜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. 對新產品開發、製造有興趣者，主動學習意願強。 2. 小型工具機使用、廠內產品加工微組裝。 3. 3D建模及2D工程圖繪製(會使用 Solid work 或 Autocad 或 Pro-E)。 4. 文書表單彙整。 5. 倉庫物料定期盤點。 6. 能配合主管交辦事項。 ●本職缺依據個人能力敘薪

1.依產品軟硬體設計及客戶需求，開發並維護測試程式。 2.規劃並建置產線之測試環境。 3.協助產品測試生產與問題排除。 4.與客戶合作開發新功能與架構。