1. 結構強度模擬分析(Server/AI Server等) 2. 支援結構性測試(衝擊/震動/落摔)送測-台灣 3. 支援熱傳溫度/噪音測試-台灣 4. 偕同不同function team合作進行驗證、分析與解決問題 5. 模擬新技術導入與研究 6. 模擬工具二次開發
CESBG-雲運算產品事業群 我們是世界級智慧型網路產品之技術領導者。 我們的產品服務，支撐資通訊及元宇宙世代大量運算需求。 「掌握數據．掌控未來」Your Data, Our Mission. 【Internship Timeline】 寒暑假full time 學期中每週2-5天以上 【Qualification】 企管，工管，工程，電子電機，資管系相關科系 積極主動、樂於助人、正向樂觀 具備執行能力、勇於挑戰與創新精神 【Assignment】 * 負責雲端Server伺服器的相關工作 研發相關工作管理 專案資料文件彙整 【Learning Objective】 學習 AI Server 科技業專案流程、專案規劃與執行 深入了解系統廠研發製造廠區工作日常，累積專案實務經驗。 【實習期間】： *2024/6-2025/6 大四/碩二 (全學年or 半年實習) ＊實習專案條件：必須為在校生 (身份不符不另作通知) ＊能長期實習，實習時間可與單位主管商議討論 實習生職缺表: https://lnkd.in/g5SNPyxR
1.負責雲端技術開發，並進行產品開發專案管理與執行 2.產品領域為伺服器等雲端、通訊網路產品等 3.工作地點為新北土城 職缺列表 ➡ https://lnkd.in/gp6k_QaC
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. 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
Working on top of hardware provided by robot vendors, you will be responsible for integrating our internal AI vision and decision models into real-world robotic systems. You are the technical implementation core that connects the "AI Brain", "Simulation & Validation", and "Physical Hardware" layers. Your mission is to bridge the gap between AI models and the physical world, ensuring our robotic systems operate reliably in industrial environments. You will operate with a high degree of autonomy, collaborate as an equal partner with the AI modeling team, and own the end-to-end success of the integration layer. 1. AI model integration & motion control ．Receive high-level action commands from AI models and perform kinematic solving and trajectory planning. ．Implement collision detection and safety mechanisms to ensure AI-generated actions execute reliably in real industrial environments. ．Maintain spatial calibration and coordinate consistency between visual inputs and action outputs. 2. Vendor interface wrapping & control implementation ．Rapidly interpret and integrate various interfaces and SDKs provided by robot vendors. ．Encapsulate proprietary vendor APIs into standardized interfaces consumable by internal systems. ．Manage communication between edge computing devices and robot controllers, resolving stability issues encountered during real-machine testing. 3. Simulation validation & real-world deployment ．Build robot simulation environments for industrial scenarios and complete stress tests and edge-case validations before deploying to physical machines. ．Establish AI model inference pipelines on edge devices and continuously optimize end-to-end performance. 4. On-site debugging & exception handling ．Conduct real-machine testing on-site, systematically collecting failure cases and data to feed back to the AI modeling team for continuous improvement. ．Implement state machines and exception handling logic to ensure safe degradation and recovery in uncertain situations. ： ．5+ years of experience in robotics systems, automation equipment, or hardware/software integration. ．Solid robotics middleware development skills, with hands-on experience integrating third-party SDKs and hardware interfaces. ．Proven experience in real-machine deployment or on-site testing; able to independently diagnose and resolve hardware communication issues. ．Proficient in Python and C++; able to rapidly produce production-ready code within an existing architecture. ．Solid understanding of Computer Vision and 3D spatial geometry, with practical experience in sensor calibration and coordinate transformations. ．Strong independent troubleshooting skills in Linux and Docker environments.
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.
1. AI應用服務開發、部署、維護,協助導入雲端,提供使用者和管理者教育訓練且產出教學文件。 2. 負責雲端平台運營相關工作，如使用數據分析、系統監控、日誌監控、資源管理和分配、異常排除、協同廠商解決技術問題等 3. 使用雲端應用軟體進行系統分析、系統設計、程式開發來達成效能瓶頸的改善 4. 積極探索AI 雲端技術相關產業趨勢，持續精進技術與團隊知識。
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. ．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. [Technical Skills] ．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. [Soft Skills] ．Problem-Solving: Excellent analytical and problem-solving skills with a proactive approach. ．Communication: Strong verbal and written communication skills to collaborate effectively with cross-functional teams. ．Adaptability: Ability to thrive in a fast-paced, dynamic environment and adapt to new technologies quickly.
1. 負責AI Data Center & Server專案採購 (機械結構、冷卻系統、電機系統採購) 2. 採購策略的制定與落實、降本目標管理 3. RFX 選型選料、NPI 報價與成本分析、BOM 優化、2nd source導入、降低物料成本 4. 供應商開發與管理、成交條件談判與優化 5. 異常處理，保障供應，交期Pull-in，滿足工廠生產需求 面試地點/工作地點：新北市土城區中山路3號，面試以視訊進行 出差天數，一年90天以下
1. 專注於企業客戶的專案進度管理及業務開發，協調並整合各部門間的工作以達成業績目標 2. 研究和了解所屬客戶的行業，並滿足客戶的需求 3. 維護客戶關係，提升客戶滿意度 4. 開發新客戶，擴大及提升銷售量及產品種類 5. 客戶問題解決及滿意度管理 6. 支援部門主管交辦事項與其他專案執行
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
Wireless systems engineer responsible for analysis, simulation and development of 5G mobile radio algorithms and signal processing. - Extensive knowledge of radio communication theory and digital signal processing are required - Solid understanding on fundamentals of wireless communication physical layer and/or MAC layer concepts is required. - Research or development experience for CDMA and/or OFDMA based systems is required. - Extensive system analysis/simulation experience is required. - Excellent written and verbal communications skills (in Mandarin and English) are required.
FPGA engineer, responsible for FPGA development of 5G mobile radio system
supervising and directing a diverse team of digital firmware engineers and embedded software engineers toward the goal of implementing fault-tolerant, efficient, error-free digital designs in a multi-processor/multi-FPGA system. - Must understand issues surrounding embedded software and its interaction with hardware. Coordinate operation between digital designers, software programmers and board designers, including documentation generation, memory maps and power estimations. - Must interface between system engineering and designers. Must understand and implement hardware design quality processes and tools including SVN, TestTrack Pro and Code Collaborator. -Excellent written and spoken English language skills is essential.
1. 5G Base Station Baseband System Architecture Design 2. Wireless System Engineer for evaluating BBU Stack split and assist in implementation *Capability of independent Research and working with new technologies are required. *Extensive knowledge of radio communication theory are required * Solid understanding of entire LTE BBU stack is required * Research or development experience for LTE systems is required. * Extensive Software implementation/design experience is required. * Excellent written and verbal communications skills (in Mandarin and English) are required.
1. 5G related prototype development: software/firmware/protocol/application 2. 5G technology research 3. Mobile technology patent research and development 4. Knowledge and experience in LTE/LTE-A/B4G/5G relevant technology is a plus, especially in C-RAN, RRH/Small Cell, HetNet, RRM, MTC, D2D, UDN, SDN, NFV, SON, transport network, Ethernet, IP networking, network management
Femtocell,3G網卡,3G WiFi Router 等軟體研發
產品類別：3D Vapor Chamber 高階工程師 工作內容： 1.3DVC設計圖紙與相關模治具圖紙繪製 2.跟進新產品案件開發進度 3.紀錄並蒐集開發參數 4.優化製程參數 研發主管 工作內容： 1.3DVC相關新產品開發技術主管 2.3DVC工程師團隊建立並帶領團隊開發3DVC技術參數 3.建立3DVC產品開發參數資料庫 4.3DVC製程優化 出差天數：一年累積90~180天 面試地點：會以視訊面試為主
1.3C產品(NB、Tablet)硬體設計與開發 2.3C產品(NB、Tablet)硬體技術趨勢研究與分析 3.3C產品(NB、Tablet)風險評估及改善方案之整合性報告
上刊登職缺 
