清大專區

1.負責AMR、AGV、複合型機器人後端服務架構與系統介面。 2.整合倉儲系統（如 RCS、WCS、MCS），進行模組功能設計與維護。 3.設計並開發與機器人電控系統對接之介面協定。 4.撰寫調度系統相關技術文件，執行測試與驗證作業。

★工作地安排：工作地於高雄大寮，視專案及產品會有國內外出差需求★ 歡迎有志者一同加入！ 1.落實APQP質量管理 2.負責再發防止、與變更管理 3.PPAP與PSW提交

1. 與客戶溝通產品規格 2. 分析測試單位提出的顯示器問題並且與客戶說明 3. 產線指令撰寫 4. 與廠商討論並解決測試單位的問題

Product- Broadband Responsibilities: 1.Responsible for defining the overall marketing strategy and driving the execution of our marketing-campaigns. 2.As a Marketing Manager, you will be the strategic architect of our marketing efforts, tasked with envisioning and shaping the entire promotional landscape for our broadband products. (promotional videos, social media, website, tradeshows, white papers, roadshows,....) Requirement: - Bachelor or Master degree in marketing or equivalent - Proven successful track record in market research is a must - Experience with Fiber, Wi-Fi, Docsis, 5G,… technologies is a strong plus - Excellent communication and presentation skills (English) - Positive attitude, resilience, out-of-box thinking, ability to work with / guide a multidisciplinary team are strong plusses Additional information for the job: Job Location: Tucheng Site,Hsinchu Site 1. Build up a deep understanding of market needs, technology trends and our products. Use that know-how in combination with vision/creativity to create our promotional activities. 2. Evangelize our solutions to customers and partners. 3. Partnering with engineering teams and various stakeholders to oversee the development and execution of strategic marketing plans. 4. Conducting regular meetings with company leadership to report on the status of all marketing activities and their performance in relation to overall company goals.

1.AI PC系統散熱設計、風扇控制與噪音管理。 2.系統模擬分析、系統熱區分析、氣流場分析與流道設計。 3.系統散熱模組單體設計規格制訂、性能及可靠度驗證方法設置、issue debug等。 4.系統Thermal & Acoustic測試規劃

1.系統設計開發人員 2.系統開發可行性評估、系統DFX檢查、系統排線繞線定義、定制系統需求規格書 3.精通英文、溝通協調能力

1. DT/ WKS硬體電路設計，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. 從設計分析確認Design Quality,處理設計相關的問題，確保產品品質。 4. 診斷硬體故障，提供技術支援。 5. 新技術研究開發與導入

1. HP DM PC的射頻設計與測試管理 2. 跨部門溝通測試問題，整合射頻測試計畫 3. 負責和客戶溝通射頻設計與測試相關工作

1. 主導企業級藍圖規劃與策略制定 2. 建立及維運架構治理與審核機制 3. 推動共性平台與技術資產建設 4. 引導企業技術發展與前瞻佈局 5. 培養組織架構人才與技術文化

1. 設計端對端解決方案與技術選型 2. 確保方案遵循企業標準與整合性 3. 主導關鍵技術驗證與風險評估 4. 提供專案開發的架構指導與支援 5. 沉澱專案經驗與促進技術交流

＜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

1. 指導並執行客戶端設備安裝、架設與維護 2. 負責現場需求溝通，協調並解決技術問題 3. 協助FAE團隊建置，並負責海外專案人力調配

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. 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。

Work with ID/MD/HW/SW team for Acoustic related design, testing, fine tune, certification, and customer acceptance; including RFQ review, Test plan buildup, ID/MD/HW/SW Design review (acoustic related items), Voice quality Verification, Voice quality fine tune, and MFG line test setup.

1.電子產品的硬體設計人員 2.開發產品設計審查、品質規劃、自動化流程設計 3.具硬體電子電路設計、電路分析與除錯經驗 4.熟悉善用Allego等設計軟體 5.具電子零件如MCU控制器，MOSFET，電感，電容，LDO等有相當認知

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。

負責智慧城市企業用戶需求訪談、解決方案設計與專案管理，推動智慧城市專案落地 1. 熟悉B2B產品與解決方案設計 2. 具備跨部門溝通與需求訪談能力 3. 熟悉政府標案與大型企業客戶合作流程 4. 有智慧城市或數位轉型經驗尤佳

1. 注塑或者鈑金件開發 2. 生產製造 3. 機構類產品NPI項目管理