MLB 失效分析工程師/課級主管

1. BU/Vendor Engagement & PCN Management 

•Coordinate in vendor’s component samples by BU’s requested for PCN validation. 

•BU validation status and schedule follow up, needs to ensure all PCN be closed on time. 

2. Documentation & Systems Support 

•Prepare and update component qualification reports by each project developing stage, supplier HW/FW changing records, internal CE checklists. 

•Maintain FEP component database accuracy. 

•Support uploading MRR, BOM and compliance certifications (CCF/CCD) in Agile. 

3. Technical support 

•Work closely with CEs and vendors for PTRR review to ensure FEP resilience. Also participate in CE/GSM/Vendor meetings and follow up on action items to ensure FEP readiness milestones are achieved. 

•Engage with CE and vendors for Component Life-Cycle management and 2nd source analysis by different CPNs.

負責產品：車載外包廠品質管理 

1.本地供應鏈含代工廠的開發、評估和稽核（VDA 6.3 +PPAP） 

2.新增Local 物料的承認測試 

3.供應鏈/代工廠的PCN變更所需要材料Qualify和PPAP稽核 

4.協助QA/PQE 對代工廠日常和年度稽核 

5.串接海外RD和生產製造單位，處理各類物料的FA和各種應急出差

* 負責雲端Server伺服器的相關工作 

1. 協助硬體部門專案測試及報告撰寫  

2. 協助部門處理庶務事項 

• 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

* 負責雲端Server伺服器的相關工作 

1. 協助硬體部門專案測試及報告撰寫  

2. 協助部門處理庶務事項 

• 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

＜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.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、電路圖Design review  

2、Layout review  

3、設計驗證 Singal Integrity & Power Integrity  

4、主板失效分析和設計優化  

5、系統失效分析及設計優化

- 推動跨系統和模塊的集成，解決架構相關技術問題 

- 架構設計: 設計Genesis Store 架構模塊並與IT/OT組件集成 

- 與開發團隊保持密切溝通交流，設置檢查要求和節點，推動用例標準化 

- 生態合作對接: 確定IT/OT架構與生態解決方案之間的一致性和匹配性 

- 知識庫與Token*相關的系統建設: 負責相關的系統設計與建設 (如: 知識管理、Token*管理) 

*Token: 透過GenAI技術整合各種跨事業群的生產相關資料，如: 語句、圖像後的數據單位，有助在不同場景下訓練AI引擎

* 負責雲端Server伺服器的相關工作 

1. MB VR testing  

2. Schematics drawing 

3. brd file checking 

4. Create Test plan  

• 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. 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。

* 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. 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

1. 開發產品EMC設計審查  

2. 開發產品EMC對策測試&規劃  

3. EMC認證申請評估  

4. 工作內容須能接受任務機動性調配  

5. 熟悉EMC技術操作

1.Hardware design proposal/specification  

2.Schematics design 

3.Level 6 E-BOM creation  

4.Board bring up and debug 

5.Power on Test plan & report  

6.Level 6 component selection 

7.Cost down plan & implementation  

8.EVT/DVT/PVT Failure Analysis 

9.OEM/ODM/IDM Design Review

Server, storage產品之DC-DC 電路設計,  

layout / placement review 

除錯, 驗證

1.筆記型電腦主板設計,(X86) or (ARM) 

2.與客戶直接溝通及跨部門協作 

3.須能接受配合出差

CESBG 產品線: Server產品 

1. 電路圖設計。 

2. 進行PCBA佈局與Layout constraint設定。 

3. 產生BOM List。 

4. Design issue debug

1. 伺服器產品Cable Routing 規劃設計 

2. 新產品RFQ規劃提案 

3. 開發階段系統DFX, DFA問題發掘與改善溝通 

4. 系統BOM文件建立 

5. 系統組裝相關文件建立

產品線: Server 

1. Support PA PL to execute test items. 

2. Test issue report to PL. 

3. Test data collection.

Cable 設計、系統階設計、BOM規劃、組裝規劃、Label 規劃、FRU 規劃