交大專區

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

＜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。

1.參與客戶會議, 對應客戶指示與需求 2.包裝設計繪圖 3.包裝測試失效分析與報告產出 4.參與設計審查（Design Review），解決技術問題，確保時程進度

1.參與客戶會議, 對應客戶指示與需求 2.參與客戶產品開發設計過程,Cable Routing 設計開發 3.DFM檢討，降低製造難度與成本 與供應商、組裝廠協作，提高生產良率 4.參與設計審查（Design Review），解決技術問題，確保時程進度

1.執行NB特案機種的系統熱傳與噪音工程設計 2.建構TPE & VN團隊與人員培訓 3.建構TPE & VN熱傳與噪音設計實驗室

1、負責軟體之分析、設計及程式撰寫。 2、系統異常問題處理及日常維護。 3、提供生產產線技術性支援及解決產線異常。 4、進行跨部門溝通及合作。

1. 高/低速訊號完整性測試計畫 2. 訊號問題分析 3. 客戶溝通 4. 訊號量測技術研究與導入 1. High/Low speed signal validation 2. System HW validaion 3. High speed bus length review 4. System margin test 5. PCB impedance/insertion loss test

CESBG 產品線:Server / Storage / Networking 1. 硬體電路線路圖設計及佈線審查 2. 硬體電路測試驗證、信號量測 3. 協助工廠端進行試產測試 4. 問題分析及解決方案能力

1. Profiling 2. Performance analysis & optimization (mainly focus on CPU/GPU/Memory) 3. Network performance analysis & optimization

1.系統設計： 參與整個硬體系統的設計階段，理解系統需求，確定硬體組件的配置和連接方式––＞系統Cable設計與routing，解決硬體集成過程中的問題。 2.BOM建置 : 板廠TLA BOM設置.系統L6/L10 BOM設置。 3.主板組裝生產SOP.生產SOP.L6/L10系統組裝。 4.標籤設計 : 主板.系統.包材Label設計規劃。 5.包材設計與驗證 : 包材設計與驗證過程中確認問題與Debug。 6.系統物件料號申請 : 系統組裝物料設計.尋找.以及PN申請。 7.文件撰寫 : Design Proposal / Design Drawing / Packaging Test Plan / Packaging Test Report / Screw List / Label Plan/ Cable List / Cable Plan / Cable 2D drawing / Cable Report。 8.以系統角度確認並反饋各單位設計問題，與其他團隊成員，如硬體工程師、測試工程師和專案經理等協作，確保整個開發過程的順利進行。

1. 支援業務人員處理產品相關技術服務。 2. 公司提供完整培訓。 3. 主管交辦事項。

＜About this job＞ You will join an advanced artificial intelligence department as the need for Al model solutions rapidly grows. We are expanding our team and looking for a talented Full-Stack Engineer passionate about building highly interactive applications and scalable backend systems for various use cases and expanding their tech skillset in this world-class company. ＜Job Description＞ As a Full-Stack Engineer, you will play a crucial role in designing, developing, and maintaining both the frontend and backend of our applications. You’ll be responsible for creating user-friendly web interfaces, developing robust backend APIs, and ensuring seamless deployment and service integration. If you‘re proactive, team-oriented, have strong problem-solving skills, and enjoy building reusable and scalable code, we’d love to meet you! ＜Key Responsibilities＞ - Develop responsive and interactive frontend web applications using JavaScript and Vue.js. - Design and implement backend APIs to support frontend and other interfaces using Java, Python, and related technologies. - Build applications and schedule tasks based on client and project requirements. - Design and implement modular, high-flexibility components and scalable systems to maximize code reusability and adaptability. - Set up and configure essential services such as databases, NginX, and Docker environments. - Ensure smooth deployment processes by utilizing CI/CD concepts and automation. - Collaborate closely with team members to improve workflows and optimize the development cycle. ＜Required Skills＞ - Frontend: Strong proficiency in JavaScript and Vue.js with experience in building dynamic and interactive UIs. - Backend: Solid understanding of Java and Python for API development. - Databases: Experience working with SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). - Software Design: Proven expertise in creating modular, reusable code with high adaptability and flexibility for scalability. - Tools and Technologies: 。Docker and Git for containerization and version control. 。NginX for web server configuration and management. 。Familiarity with CI/CD concepts and automation techniques to streamline deployments. - Soft Skills: Strong communication skills and a team player, able to collaborate effectively across departments. - System Architecture: Understanding of distributed systems and hardware architecture concepts.

1.液冷系統的設計，包括冷卻液路徑、散熱器、泵等元件的選擇和配置。 2.進行熱力學分析和模擬，以確保系統的高效運行。 3.建立測試平台，進行液冷系統的性能測試。 4.分析測試數據，驗證系統的冷卻效果和穩定性。 5.液冷系統的製造工藝設計和優化。 6.組裝液冷系統，確保各元件的正確安裝和連接。 7.提供液冷系統的技術支持和維護服務。 8.液冷產品的市場調研和需求分析。

1. 用戶需求分析，系統設計，編寫軟件設計相關文檔和測試計劃、測試用例 2. 數據結構設計、系統功能開發 3. 負責系統系統集成和測試，監控系統性能，進行必要的優化，確保系統運行的穩定性和安全性 4. 利用專業知識及溝通協調能力進行數字化、自動化系統項目的實施和推廣並主動發現問題及跟進問題 5. 海外派駐支援

＜About the job＞ As the AI Project Manager and System Analyst, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. In addition to developing intelligent applications via related AI and Advanced Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging AI applications based on different use cases and expand your tech skillset in this world-class company. ＜Job Description＞ *Type1：AI Project Manager Manages AI-focused projects from initial planning to delivery, ensuring alignment with business goals and promoting innovation. Responsibilities include coordinating cross-functional teams, allocating and optimizing resources, and maintaining project schedules and budgets. The role requires proactive problem-solving to address project challenges and mitigate risks while driving effective communication across departments. ＜Qualifications＞ 1. Over 5 years of experience in software project management, with a strong background in Agile methodologies. 2. Highly proactive, self-motivated, and accountable. 3. Willing and able to travel internationally for approximately 1-2 months per year. ＜Required Skills＞ 1. Strong understanding of the project lifecycle, including planning, execution, monitoring, and closure. 2. Proven ability to manage project timelines, budgets, and resources effectively, ensuring projects are completed on schedule and within budget.t. 3. Ability to communicate effectively with individuals from different departments and roles and coordinate resources. 4. Strong analytical and problem-solving skills, with the ability to swiftly assess complex issues and implement solutions. 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Familiarity with manufacturing processes 2. Possession of project management certifications such as PMP or Scrum. 3. Intermediate or above English proficiency in listening, speaking, reading, and writing. *Type 2：AI System Analyst Responsible for gathering and analyzing the requirements and contributing to designing, developing, testing, and deploying in all phases of the AI system development project lifecycle, as below： 1. Collaborate with business data analysts to analyze user requirements and ensure that requirements and acceptance criteria satisfy user needs. 2. Create a system requirement specification to elaborate on system design, system components/interfaces, and data schema. 3. Work with the multi-functional engineering team(e.g., data scientist, AI/ML engineer, data engineer, AI software engineer..., etc.) to ensure technical feasibility. 4. Drive usability and quality of the AI system developed and ensure all system requirements are well implemented. 5. Work on various enterprise AI system applications and problems, and analyze issues to identify root causes and prevention. 6. Create the Wireframes(or UI Prototypes) for AI system feature discussion with users and provide them to the UI/UX design team. 7. Author and update internal documentation; initiate and deliver requirement specification and system analysis/system design documentation. ＜Required Skills＞ 1. Practical experience in requirements gathering and analysis and change management 2. Experience co-working with front-end and back-end system development teams. 3. Strong analytical, verbal, and written communication, teamwork, and highly collaborative skills. 4. Experience with Microsoft Visio, Axure RP(or other wireframe tools). 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Mastery of QA methodology and problem-solving tools/techniques in software engineering. 2. Knowledge of AI/Data Science Tech(e.g., Machine Learning, Deep Learning, Statistics, Quantitative modeling techniques). 3. Practical experience in Relational DB (e.g., MS SQL, PostgreSQL) and ability to write SQL queries.