轉職熱搜工作

1. Manage team 2. BIOS development planning and management 3. Across function teams communication 4. Customer relationship maintain 5. Cultivate talents

＜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 meticulous and highly skilled QA Engineer to ensure the integrity and quality of our software applications. You will be responsible for designing and executing comprehensive test plans, with a critical focus on validating cross-platform functionality across various devices and browsers. Key Responsibilities ● Test Planning: Develop, document, and maintain comprehensive test plans, test cases, and test scripts based on product requirements and specifications (User Stories/Use Cases). ● Compatibility Testing: Conduct rigorous cross-browser and cross-device compatibility testing to ensure seamless functionality and consistent user experience on different mobile devices (iOS/Android) and web browsers (Chrome, Firefox, Safari, Edge). ● Execution: Execute various types of testing, including manual exploratory testing, functional testing, integration testing, and regression testing. ● Defect Management: Identify, log, and track defects using bug tracking systems (e.g., Jira), working closely with development teams to ensure timely resolution and verification. ● Collaboration: Act as a quality advocate within the Agile/Scrum team, participating in requirements analysis, sprint planning, and release activities. ● Reporting: Generate clear and concise reports on testing progress, defect metrics, and overall product quality status. Required Qualifications ● Experience: 2+ years of professional experience in Software Quality Assurance or software testing. ● Testing Expertise: Strong understanding of QA methodologies, tools, and processes within a Software Development Lifecycle (SDLC), particularly in Agile/Scrum environments. ● Compatibility Focus: Proven experience in performing and managing cross-browser and responsive design testing across various operating systems and screen resolutions. ● Manual Testing: Proficiency in creating detailed, structured, and comprehensive test plans and test cases. ● Tools Proficiency: Hands-on experience with defect tracking tools (e.g., Jira) and test management systems. ● Education: Degree or Diploma holder in Computer Science, Engineering, Information Technology, or a related technical discipline. If you are a detail-oriented QA professional passionate about delivering flawless software across different devices and browsers, and possess excellent communication skills in English, Mandarin, and Cantonese, we encourage you to apply!

1. Design, deploy and maintain large scale AI/HPC cluster virtualization environment (Slurm, Kubernetes, Kuberay, Ray, Helm, HTCondor, LSF, DLRover, LamaFacotry, etc) 2. Orchestra and optimize large scale virtualization enivronment for HA and high performance 3. Security assessment and implementation on the large scale cluster platform 4. Scaling and automation system development

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. ASP.NET 2.0或以上，ASP.NET 1.1經驗2年以上亦可，若有ASP.NET 3.5經驗尤佳 2. 開發語言VB或C#皆可，C#尤佳 3. 需具備網頁開發相關技術，Ajax、Java Scr廿金ipt、CSS等 4. 需具備三層式架構，N-Tier及OOP經驗，若有Team Foundation 經驗尤佳 5. UML 觀念 6. Object-relational mapping，LINQ、ADO.NET Entity Framework 7. 良好的溝通與傾聽能力 8. 對程式開發及軟體工程具有熱情，願意嘗試新技術及架構 9. 願意以負責任的態度，對工作及所產出之程式進行品質管理 10. 可獨立或與團隊成員合作 11. Microsoft 相關認證

負責測試智慧城市應用之功能、效能與安全性，建立自動化測試流程與品質驗證標準 1. 熟悉自動化測試框架（如Selenium、Cypress） 2. 具備CI/CD下測試流程設計經驗 3. 熟悉API測試與效能測試工具 4. 能撰寫測試計畫與測試案例

推廣銷售西門子Solid Edge、CAM Express(NX CAM)系列軟體，並從事客戶的開發及維持 1.管理國內業務部門 2.審查銷售紀錄與報告，協助業務同仁達成業績目標 3.統籌各項商品的服務活動與銷售活動、宣傳活動 4.進行市場調查並擬定業務銷售計劃 5.審查業務預算及費用

1. APP之程式撰寫與除錯、設計、前(後)端測試、更新、分析、安裝、配置與系統維護、操作  2. 數位圖表、電子支付開發、雙系統開發平台與上架審核 3. 線上資料彙整與文件、規格建置 4. 提供國內外客戶諮詢服務  5. 主管交辦業務事項   *具 Android App、Embedded system客製化開發維護等經驗佳