交大專區

1. 負責 GPON/WiFi/LTE 相關產品硬體研發 2. 基頻電路研發與設計、功能測試與除錯 3. RF硬體電路設計及驗證

1. 負責筆記本電腦新產品導入之電子系統設計開發驗證,協助客戶完成板端和系統端之EE設計驗證並確保產品可量產化 2. 執行失效分析(FA),SI/PI訊號量測與分析及DOE執行 3. 撰寫英文技術報告,並與國際客戶進行溝通與合作

* 負責雲端Server伺服器的相關工作 1. Server DC-DC 電源線路設計應用及電源管理 2. PCB佈局審查與改善 3. 設計驗證及除錯 4. 與客戶溝通電源需求規格, 提案開發 5. DC/DC技術引進評估&承接 • 計畫介紹： • 實習期間: 即日起-2027/6 (長期實習) • 職缺內容: 實習生 (電子相關科系佳) • 實習薪資: 時薪(一週3天以上)，優於基本工資

1. 獨立負責服務器專案 PCB Layout方案評估， Placement，Constraint 設定，Routing與 Gerber out，全流程工作 2. 協助解决産品開發階段PCB廠,PCA廠生産問題（DFM/DFT） 3. 專案Placement及走線評估

1.Server性能及健康監控程式開發(Prometheus, Grafana..) 2.Server測試自動化程式開發(Redfish, IPMI, SNMP, BMC...) 3.Server OS 鏡像自動化開發, 訂製及部署

1. 設計伺服器硬體組件（如主板、CPU、IO卡），使用CAD軟體開發電路圖。 2. 進行硬體原型測試，執行功率和性能基準測試，優化設計。 3. 支持製造和客服，診斷硬體故障，提供技術支援。 4. 需要時與供應商溝通，處理設計相關的問題，確保產品品質。 5. 替代料選用與BOM製作。

你將以產品與服務的視角，參與公司 AI 應用與研發的核心任務，包括但不限於： 1. 設計與建構 AI Application Framework，支援跨產品/專案之快速開發與部署。 2. 整合 AI 模型至實際應用，對接產品需求與專案場景，打造具價值的 AI 服務。 3. 與 AI 團隊協作，針對底層模型進行驗證、效能評估與參數調整，提供調校回饋。 4. 建置與維運 MLOps/AIOps 環境，強化模型訓練流程自動化、部署效率與版本管理。 5. 持續優化運行中模型與應用架構，提升 AI 系統效能與穩定度。

1. Research on 3GPP NR (New Radio) and 6G technologies including Layer 2/3 protocols and procedures 2. Support Intellectual Property related delivery and procedures 3. Standardization activities including participation of 3GPP meetings, contribution submission, new feature monitoring and exploration, and cooperation with other leading companies. 4. Teamwork with experts on communications and networking globally in SHARP

📌 工作內容（完整升級版） 1️⃣ 使用 SolidWorks / AutoCAD 進行 2D / 3D 零件圖、組立圖與爆炸圖設計。 2️⃣ 參與新產品開發，建立 BOM 表、技術文件與設計資料管理。 3️⃣ 針對首件樣品進行尺寸量測與試裝（FAI），建立組裝與檢驗 SOP。 4️⃣ 撰寫產品測試流程與驗證報告，配合品管部門進行功能與可靠度測試。 5️⃣ 參與新品實體組裝與結構驗證，提出設計改善與量產修正建議。 6️⃣ 與廠內技術、生管、業務跨部門協作，提升設計與製造整合效率。 7️⃣ 優化既有產品圖面、加工可行性與組裝流程，提升量產穩定度。 8️⃣ 使用 CAM 軟體規劃加工路徑，轉出 CNC 加工程式，支援打樣與量產準備。 9️⃣ 協助樣品製作、治具規劃與加工條件優化。 🔟 未來參與水冷系統測試箱開發（結構設計、散熱規劃、密封設計等）。 1️⃣1️⃣ 協助老闆或主管交辦專案事項，並定期回報進度。 我們希望優先找尋的對象： ✔ 熟悉 RF 結構設計、隔離箱、屏蔽結構者佳 ✔ 了解阻抗匹配或通訊產品結構者佳 ✔ 具水冷系統、散熱模組、幫浦設計經驗者佳 ✔ 熟悉流體或散熱概念（CFD基礎佳） ✔ 具CNC加工實務經驗者佳

＜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. 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

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.

1. 規劃及執行 AI Server or NB/Compute Node/GPU 等之系統整合測試。內容包含硬體/軟韌體/相容性/效能/産品功能等。 2. 產品品質問題追蹤、分析及改善。 3. 依照專案任務需求和客戶開會報告。

【職位說明】 參與智慧城市 AI 賦能產品開發，負責建置企業級數據平台(Data as a Service, DaaS)，處理各種形式的資料，並進行完善的資料治理、血緣追蹤與監控。最終將整合生成式 AI（Generative AI）功能，提供智慧城市解決方案所需的各種應用服務。 【工作內容】 • 建置資料處理流程，涵蓋結構化與非結構化之資料 • 建置資料數據服務 API，並設計資料視覺化分析 • 整合生成式 AI 應用（如 LLM、RAG）至資料流中 • 負責資料治理、血緣追蹤、系統監控作業，以及效能調優與異常排查

1. 負責伺服器散熱元件開發(CDU,Manifold...)、水冷產品開發(EV、HPC)，需熟熱傳學、流體力學、材料力學與熱交換設計。 2. 對高瓦數的水冷散熱的設計方案有基本了解。 3. 對於焊接、沖壓、CNC等工藝之製程與機械加工有基本理解。 4. 協助解決試產製造及製程中的相關問題。 5. 繪製工程圖（2D&3DCreo, Solidwork），需有公差概念。 6. 負責各產品工程技術文件之製作(DFM, DOE等相關技術報告) 7. 完成其他主管交辦事項。

1.跨部門協調及協助客戶解決問題 2.規格書撰寫及流程規劃 3.BMC 開發及測試

Job Summary/Key Responsibilities . To design, develop, and integrate diagnostic software solutions for servers, storage, and AI accelerator platforms, enabling automated testing and efficient issue resolution in collaboration with hardware and firmware teams. · Design and implement diagnostic software for hardware platforms. · Develop automation tools and scripts for testing and validation. · Integrate diagnostics with production and lab environments. · Troubleshoot hardware and software issues with cross-functional teams. · Document diagnostic procedures, tools, and technical guides. · Evaluate and adopt new tools or technologies to enhance diagnostics.

1.建廠規畫 2.工廠設備維護、人員訓練及物料管理 3.生產效率、技術及製程良率提升

Data Center Switch設計開發 1. 資料中心交換機與DPU網路卡系統架構開發設計與硬體電子電路設計開發 2. 產品測試驗證計畫執行與客戶認證 3. 量產導入，處理產品良率分析與改善 4. 跨部門團隊（PM/製造/品保）協作，確保產品品質與開發交付時程 5. 協助客戶技術支援與問題排除 6. 支援海外生產線(越南)相關測試設備架設與優化及自動化導入

1. 設計伺服器硬體組件（如主板、CPU），使用CAD軟體開發電路圖。 2. 進行硬體原型測試，執行功率和性能基準測試，優化設計。 3. 支持製造和客服，診斷硬體故障，提供技術支援。 4. 需要時與供應商溝通，處理設計相關的問題，確保產品品質。 5. BOM製作。