- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 5天前更新展開
1. 負責雲端平台的架構設計與開發實現，支撐端雲一體化整合方案的技術落地，保障雲端系統與終端設備的高效協同及穩定運行。 2. 參與慢病管理平台、醫院HIS系統數據通道等基礎架構的雲端技術搭建，設計並實現FHIR協議數據互通的雲端解決方案，確保全場景數據流暢傳輸與交互。 3. 基於客戶需求，進行雲端系統的定制化開發與優化，參與解決方案及系統設計說明書中雲端部分的編寫，明確雲端應用與設備端產品的整合邏輯。 4. 與FAE、業務團隊協作，理解客戶在端雲項目各階段的雲端需求及問題，參與解決方案的討論與制定，跟進雲端功能的開發與交付進度。 5. 制定雲端平台的交付規格，明確技術標準與FHIR&DICOM協議接口規範，確保雲端系統交付符合客戶預期，同時配合項目團隊完成雲端部署的技術支持。 6. 編寫雲端開發相關的技術文件，包括微服務架構設計、接口說明、開發指南及TFDA相關資安文件，參與客戶的雲端解決方案簡報，根據反饋調整雲端技術方案。
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 5年工作經驗 5天前更新展開
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.
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 5天前更新展開
1. AI PC MCU韌體(Embedded Controller)/FreeRTOS 程式開發、更新、維護 2. AI PC MCU韌體(Embedded Controller)/FreeRTOS 研發時程及可行性評估 3. AI PC MCU韌體(Embedded Controller)/FreeRTOS 規格的review與分析 4. 專案執行與相關功能團隊合作 5. 良好的溝通協調能力 6. 具備產品分析與問題解決能力 7. 對工作具備熱誠 8. 具備邏輯思考能力與抗壓性
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 5天前更新展開
＜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.
- 面議（經常性薪資達4萬元或以上） 新北市泰山區 1年工作經驗 7天前更新展開
(1)按照專案時程，規劃研發單位間設計資料傳遞計畫及跟催。 (2)協助聯繫公司各部門需求，協助按公司規範確保產品符合客戶需求。 『具工作經驗者，薪資另議』
員工電影國內旅遊員工聚餐尾牙家庭日 - 面議（經常性薪資達4萬元或以上） 桃園市桃園區 工作經歷不拘 7天前更新展開
1. 撰寫訊號驗證計畫 2. 使用示波器量測訊號 3. 完成驗證報告 4. 熟悉伺服器相關訊號規格
員工在職教育訓練年節獎金員工生日禮金年終獎金三節獎金 - 月薪40000~65000元 新北市土城區 2年工作經驗 5天前更新展開
聯準科技股份有限公司致力於建立專業的資訊安全與個人資料保護管理方案! 我們在2018年獲得ISO 27001國際認證，為客戶提供高品質的資安管理服務。從政府機關到上市櫃公司，聯準科技都以其專業可靠的能力贏得信賴。✨如果您熱愛挑戰資訊安全世界，那麼這就是您的舞台! 工作內容： 1. 協助規劃並執行ISO 27001及ISO 27701管理體系，涵蓋風險評估和政策制訂。 2. 支援ISO認證相關資料的準備與內部稽核管理，確保最佳合規性。 3. 參與專案計畫，從方案制訂到進度追蹤，並進行效益評估。 4. 設計並實施資安與個資保護的教育訓練，幫助客戶提升合規知識。 5. 協助客戶設計資訊安全解決方案，增強系統安全性與效率。 6. 定期分析客戶資訊系統的安全情況，提出優化建議。 福利與發展機會： - 提供加班費、年終獎金、特別休假等優渥福利! - 員工團保、健檢、生日禮金，還有國內外旅遊補助。 - 充足的進修資源，包括教育訓練與國內外進修補助。 - 良好的升遷制度，助您穩步實現職涯目標。 - 重視工作與生活平衡，享受週休二日。 加入聯準科技，成為資訊安全的守護者！立即遞交您的履歷，我們期待與您同行，共創安全的數位未來！
就業保險員工生日禮金年終獎金禮品激勵獎金 - 月薪39600元 新竹縣寶山鄉 無工作經驗 4天前更新展開
1. 負責廠內各機台設備之保養與維護。 2. 負責建立與登載相關機台設備之文件。 3. 有效性提出廠內機台設備的改善建議。 4. 觀察機台運作，做預防性損壞前的調整。 5. 機台故障示警時，即刻進行調整與回報。 6. 檢查機件之老化損傷程度，維持機台正常運作。 【其他條件】 1.個性需積極、細心、負責、配合度高。 2.需配合在無塵室內工作(著全套無塵衣)。 3.可配合設備導入常駐客戶端工作。 4.語言無特殊要求。
年終獎金三節獎金績效獎金員工團保員工聚餐 - 面議（經常性薪資達4萬元或以上） 新竹縣竹東鎮 工作經歷不拘 3天前更新展開
AIoT系統及應研發、運動復健及健康賦能智慧化系統與應用研發、AIoT裝置開發與感測資料整合
良好升遷制度產檢假安胎假家庭照顧假產假 - 月薪50000元 台南市歸仁區 3年工作經驗 3天前更新展開
擔任跨功能部門專案經理，協助各室經營關鍵企業客戶(Key Account)，強化與關鍵企業客戶合作，提升本組企業及民營業務收入，工作內容包含： 1.與政府機關、產業夥伴建立並維持良好合作關係 2.拓展綠能領域的業務，協助技術團隊與顧客溝通，將技術優勢轉化為商業價值 3.協助開發大型顧客、建立雙方長期合作商機 4.協助大型計畫管理及執行，具備撰寫簡報與報告的能力，邏輯清晰、表達精準 5.協調及連結院/所各單位，推動跨領域合作
良好升遷制度產檢假安胎假家庭照顧假產假 -
