清大專區

1. 與團隊進行Server機櫃機構結構設計 2. 產品開發過程與各Function team進行結構設計檢討與改善 3. 量產前需與工廠檢討量產問題分析與問題改善 4. 生產過程中能及時解決生產問題

1. 與團隊進行Server機櫃機構結構設計 2. 產品開發過程與各Function team進行結構設計檢討與改善 3. 量產前需與工廠檢討量產問題分析與問題改善 4. 生產過程中能及時解決生產問題

1. 環境測試(溫溼度)測試-台灣 2. 結構性測試(衝擊/震動/落摔)送測-台灣 3. 熱傳溫度測試-台灣 4. 噪音測試-台灣 5. 自動化測試導入-台灣 6. 廠內實驗室設備點檢/機台保養維護/待測機台與物料維護-台灣 7. 偕同不同function team合作進行驗證、分析與解決問題 8. 與第三方實驗室溝通協調、安排測試-台灣

1.AI / Compute / Storage伺服器測試軟體開發及相關軟體模組維護(含 板階、系統階、櫃階 測試 2.Compute / Storage伺服器壓力測試軟體開發及維護:主要為系統階測試 3.依伺服器組件、功能、出貨規格 建立 測試計劃，完成測試軟體套件開發後導入工廠端交付測試執行團隊: 依專案 需短期出差美國、墨西哥 (1個月/次，年累積三個月以下)

We are seeking a highly motivated Software Team Leader, who combines technical leadership, system-level thinking, and cross-functional collaboration with R&D, Operations, and global customers to enable efficient diagnostics, automation, and intelligent data integration. Responsibilities •Lead the software team to design, develop, and integrate diagnostic software solutions for AI server and storage platforms. •Build a unified Diagnostics OS that supports modular and reusable test components across multiple products and customers. •Drive automation, standardization, and integration with production lines. •Collaborate with R&D and Operations to enable efficient issue diagnosis and resolution throughout the product lifecycle. •Develop and maintain automation tools, test scripts, and diagnostic libraries for manufacturing. •Define and enforce standard interfaces and log formats for seamless integration with the operation flow. •Document diagnostic procedures, APIs, and best practices. •Evaluate and adopt new tools or technologies to enhance testing efficiency and data analytics. Qualifications • Strong communication and problem-solving skills, able to respond quickly to customer and factory issues from different time zones. • Solid understanding of server system, AI server architecture, and diagnostics workflows. • Experience leading software teams and coordinating with cross-functional teams for global customers. • Proficient in software development lifecycle management and quality assurance practices.

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. 架構設計與搭建：結合 HIS、EMR、PACS 等醫療系統需求，設計智慧醫院及機器人平台高可用資料庫架構；選型關係型 / 非關係型資料庫，搭建優化集群。 2. 數據集成與支持：參與數據中臺建設，完成 ETL 數據整合；支持開發團隊設計評審，為科室提供技術諮詢與培訓。 3. 安全與合規：管控數據訪問許可權，加密敏感醫療數據；配合審計與監管檢查，落實合規整改。 4. 日常運維與監控：負責資料庫實例、許可權、性能調優；搭建監控體系（CPU、IO 等指標）；制定並執行備份恢復策略。 5. 技術迭代與應急：評估新技術（雲資料庫、分佈式等），制定升級遷移方案；制定應急預案，處置宕機、數據損壞等突發問題。

What we are looking for The service team at Nova is looking for a Service Engineer to provide product support at Nova customers. In this role you‘ll be joining the Global Service Group at Nova. We provide service to a large-scale install base, at leading semiconductor manufacturers worldwide. Responsible for training, installing, and supporting all Nova products at customer sites worldwide. We foster teamwork, excellence, and innovation, making customer success our main goal. What you will be doing • Implement the Customer Support Policy for the OEM End User. Supervise, maintain, and support company systems in the field. • Support OEM partners, and End Users internal service as defined under warranty and service support agreements. • Maintain, support, and guide proper training to all users, including OEM and End User personnel. (Training will be provided, in most cases, by an engineer dedicated to training). • Maintain proper reporting methods for all activities of customer support as defined by the Territory Service Manager/Customer Support Manager. • Maintain company’s parts inventory under the position’s control. Maintain proper level of stock in accordance with company spare parts tock policy, as set from time to time. • Assist in new equipment integration, “add-ons,” and upgrades. • Provide feedback to the headquarters based on experience gained with customers. • Support the customer beyond the defined working schedule as required.

1.保險管理：辨識與評估風險，制定政策與行投/續保作業, 以確保風險獲得保障 2.理賠處理：處理事故損失，保障單位權益 3.損害防阻：提供外部資源，協助EHS完善生產安全管理 4.外部資訊收集：國內外保險市場及產業風險資訊收集、分析對保險管理業務之影響

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.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

主要負責: 路由器/交換機/服務器 1.NPI 產品生產過程中不良分析，找出產品設計bug，提供客戶改善建議。 2.量產異常分析，並協助CFT改善生產良率。 3.RMA/RCFA/ORT不良品失效分析，及時反饋產品問題並改善。 4.MRB不良物料失效分析，協助廠商分析推動零件良率改善。 5.3-Strike、疑難板及專案處理及分析。 6.產品技術資料整理及編寫 職務需求： 1. 電機電子、通訊工程相關科系專業 2. 2年以上失效分析相關經驗 ，熟悉半導體、電子元器件、電子電路領域的失效分析流程由家 3. 具備系統性思維，能通過實驗數據推導失效機理，熟悉FTA（故障樹分析)、8D、5Why等分析工具。 4. 熟悉路由器、交換機、伺服器等網路產品生產、測試及分析流程。 5. 熟練使用萬用表、示波器、頻譜分析儀等常用測量儀器測量相關電路及元件信號。

What we are looking for The service team at Nova is looking for a Service Engineer to provide product support at Nova customers. In this role you‘ll be joining the Global Service Group at Nova. We provide service to a large-scale install base, at leading semiconductor manufacturers worldwide. Responsible for training, installing, and supporting all Nova products at customer sites worldwide. We foster teamwork, excellence, and innovation, making customer success our main goal. What you will be doing • Implement the Customer Support Policy for the OEM End User. Supervise, maintain, and support company systems in the field. • Support OEM partners, and End Users internal service as defined under warranty and service support agreements. • Maintain, support, and guide proper training to all users, including OEM and End User personnel. (Training will be provided, in most cases, by an engineer dedicated to training). • Maintain proper reporting methods for all activities of customer support as defined by the Territory Service Manager/Customer Support Manager. • Maintain company’s parts inventory under the position’s control. Maintain proper level of stock in accordance with company spare parts tock policy, as set from time to time. • Assist in new equipment integration, “add-ons,” and upgrades. • Provide feedback to the headquarters based on experience gained with customers. • Support the customer beyond the defined working schedule as required.

＜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.董事會及功能性委員事項 2.股東會年報/議事冊編制 3.關聯公司董事會/股務事務 4.重大訊息公告 5.董事會績效評鑑事宜 6.ESG例會G小組考核指標回覆

網路通訊產品管理 1)專案進度管理與協調溝通 2)問題解決與執行紀律 3)成本控制 4)新產品試產及量產導入，新產品開發進度跟進及物料REVIEW 5)定期向客戶以及單位更新新產品ECN狀況及導入狀態追踪 6)其他如客戶需求排配，出貨安排，廠內庫存管控，客訴處理 7)2nd Source Plan Cost Reduction 8)Material Cost Reduction

1. 伺服器BMC韌體設計開發 2. 既有專案維護 3. 跨單位技術上的溝通探討 4. 了解客戶需求與熟悉產品規格

1. 負責Server / Storage 產品的電源開發設計 2. 可承接並獨立完成客戶新機種開發 3. 掌握設計成本並可與客戶討論產品規格 4. 協助工程問題與解決對策

1.機構件產品結構評估, 模具設計合理性評估 2.機構件產品的Process flow排布設計 3.客戶圖紙尺寸/內外觀/ORT/REL規格解讀與判定 4.制定機構件產品尺寸/結構規格設計 5.設計產品CNC/IM相關製程加工流程，確認合理性。 6.機構件產品製程結構首件確認/模具承認 7.承接專案開發立項，並設計對應製程方案或DOE驗證，推動項目完成，能獨立完成問題FA。 *須長期出差