雲端架構工程師

【工作內容】 

1. 系統規劃與流程改造 

2. 系統設計及程式撰寫 

3. 主流雲平台使用與環境配置管理 

4. 用戶教育訓練及問題排除 

【工作地點】 

台北土城、高雄軟體園區 

未來公司採全球化配置, 將會有許多短期出差的機會

開發各種新世代寬頻通訊設備VoIP, ADSL, WLAN, Cable Modem, Ethernet、Home Lans, Internet Appliances, STB, WiMax, IP Phone, Video Phone, Smart Phone ....之軟體/韌體

1. 熟悉C#，應用於Unity開發 

2. 完整專案經驗者 

3. 完整App(iOS/Android)上架經驗 

4. 熟悉 Git指令或熟悉 SoureTree 

5. 分析需求,分析問題, 解決問題 

6. 依團隊需求建立良好程式架構

1. 通訊設備嵌入式系統研發 

2. IP network通訊協定研發 

3. 物聯平臺研發(LPWAN GW, module/sensor, IoT platform) 

4. 數據平臺開發(數據分析,演算法規劃,解決方案規劃/數據處理,資料串接/視覺化)

1、熟練掌握web開發技術，對http協議、加密解密、web安全等相關技術有深入了解優先考慮； 

2、精通springboot ，熟練掌握Java編程、SSM框架、對jvm、spring、spingMVC、mybatis源碼研究者優先考慮； 

3、熟練掌握oracle，sqlServer，Mysql的使用和開發、對sql優化有豐富的經驗；  

4、學習能力強，適應能力好；具備耐心、細心的品質、能CodeReview，具備良好的團隊溝通和協作能力；

1. 熟悉微服務平台建置、維護與管理 (Kubernetes(K8S)、Docker)  

2. 經營/維護/優化 DevOps 工具 

3. Jenkins等 持續整合/建置環境建置與維護(CI/CD)  

4. Google Test 經驗 

5. 測試報告追蹤 

6. 可自主建立已上流程系統(必要).

Ethernet Switch Development : 

1. Linux related device drivers 

2. Linux Kernel/driver/BSP Porting and Integration 

3. BMC/IPMI related firmware

＜About the job＞  

As the AI Software Engineer, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. As well as developing intelligent applications via related AI and Big Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging applications based on different use cases and expand your tech skillset in this world-class company (Fortune Global 500, 20th). 

＜Job Description＞ 

Responsible for deploying the AI/Data Science collaborative framework and building the AI model and data operating infrastructure. Using software development experience to design and develop high-performance automated systems for AI development and operation. As below: 

．Collaborating with Data Scientist/AI ML Engineer team, other software system development teams, and the infrastructure team. 

．Ability to utilize various tools/methods to build the MLOps/DataOps/DevOps and deploy and manage the AI Development framework and infrastructure 

．Developing infrastructures for data transformation and ingestion and automating important infrastructure to process data 

．Deploy AI models to the Inference server and optimize the performance of the model serving operation reliably and efficiently. 

．Assist the Data Scientist/AI ML Engineer team in converting the AI models into APIs to serve other systems or integrate with other systems. 

＜Skill Sets＞ 

(1)Excellent problem-solving and troubleshooting skills. 

(2)Genuine passion for learning new technologies and open-source projects. 

(3)Familiarity with Python and Java (python is a must) 

(4)Good understanding of the Linux OS environment, the Shell Scripting, and infrastructure/networking knowledge.  

(5)Experience with GitLab CI/CD 

(Nice to have but not necessary)  

(1)Experience with MLops and Model Serving tools. 

(2)Experience in GPU programming and performance tuning 

(3)Being familiar with AZURE (or AWS) cloud infrastructure will be a plus 

(4)Familiar with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s)

1. 規劃伺服器產品自動化測試方案 

2. 開發伺服器產品自動化測試程式 

3. 負責導入實驗室或工廠自動化測試 

4. 開發客戶或實驗室需求的軟體工具 

5. 協助開發研發單位自動化測試需求

1. CI/Automation/Test Automation (Python) 

2. Web Application (Python, Node.js, Java) 

3. 網管系統或 BMC/Redfish related external system (Python, Linux shell) 

4. AI, BigData, Datastore development (Python, Java)

1. 雲服務之網路架構規劃、設計 

2. SDN、NFV之規劃、導入 

3. 識別及解決網路問題 

4. 網路設備管理、維護 

5. 客戶應用上雲之網路架構諮詢、規劃

主要開發產品： 

1. Enterprise Switch 

2. Data center Switch 

3. AI Switch 

4. Telecom Switch 

主要工作內容： 

1. Hardware circuit design, schematic capture, and PCB development. 

2. Board bring-up, debugging, and failure analysis 

3. Component selection and BOM management 

4. SI/PI analysis and reliability validation 

5. Cross-functional collaboration with firmware and manufacturing teams 

6. Support NPI and mass production 

7. Generate technical documentation

協助開發跨平台應用程式 (APP/Web) 與後端 API 服務；參與軟體專案的需求訪談、功能開發與規格文件彙整。配合執行 CI/CD 自動化整合測試與程式碼審閱，支援應用 AI 模型進行任務自動化之專案實踐，並學習撰寫高品質的技術佈署文件 (TDD)。 

Assist in developing cross-platform apps and backend APIs. Participate in requirement gathering and technical specification compilation. Support CI/CD automated testing and code reviews. Collaborate on projects utilizing AI models for task automation and learn to author high-quality Technical Deployment Documents (TDD).

協助全球 AI 算力平台架構的環境佈署與配置作業；參與雲端服務資源的日常維運、自動化資源分配之參數設定及性能監控。配合利用容器化技術 (Docker/K8s) 進行效能瓶頸初步排查，支援優化 MLOps 工作流並協助撰寫技術維護文件。 

Assist in environmental deployment and configuration of global AI computing platforms. Participate in daily operations of cloud resources and parameter setting for automated resource allocation. Support initial performance troubleshooting using container technologies (Docker/K8s) and help optimize MLOps workflows and documentation.

參與 5G/6G 通訊軟體開發與通訊協議測試。協助低軌衛星酬載之硬體整合驗證；配合團隊進行量子計算軟體實驗，支援智慧聯網架構的技術文檔彙整 。 

Participate in 5G/6G software development and protocol testing. Assist in satellite payload hardware integration. Support quantum software experiments and compile technical documentation for smart networking.

1. 參與高階網路交換機的硬體架構設計與系統規劃 

2. 設計並驗證 PCB 電路板，確保高速訊號完整性與可靠性 

3. 整合 ASIC/FPGA、SerDes、PHY 等高速晶片模組 

4. 開發與測試 100G/400G/800G Ethernet 介面及光模組整合 

5. 進行硬體 bring-up、功能驗證與效能測試 

6. 與韌體/軟體工程師合作，確保硬體與系統整合順暢 

7. 撰寫技術文件、測試報告，並支援量產與品質控管

負責產品：網路交換機/網卡 

主要職責： 

1.架設與維護自動化測試機台，確保系統穩定與可擴充性 

2.開發與維護測試腳本（Shell Script、Python），提升測試效率 

3.在 Linux 平台上進行系統安裝、配置與效能調校 

4.整合測試工具與框架，支援持續整合 (CI/CD) 流程 

5.分析測試結果，撰寫報告並提出改善建議 

6.與研發團隊合作，設計並優化測試流程 

7.支援越南工廠測試平台建置與維運（需配合出差）

1.AIOT系統管理開發，應用於智慧工廠(智能安防與流程監控) 

2.負責後端架構設計，資料庫效能優化及系統運維 

3.建立高效可靠的串流通道，處理IOT設備大量數據存取 

4.與前端協作，產出可用於輔助決策的指標API 

5.確保系統擴展性，支援未來的數據挖掘與 AI 模型整合

To design, develop, and integrate diagnostic software solutions for servers, storage, and AI accelerator platforms, enabling automated testing and efficient issue resolution in collaboration with hardware and firmware teams. 

· Design and implement diagnostic software for hardware platforms. 

· Develop automation tools and scripts for testing and validation. 

· Integrate diagnostics with production and lab environments. 

· Troubleshoot hardware and software issues with cross-functional teams. 

· Document diagnostic procedures, tools, and technical guides. 

· Evaluate and adopt new tools or technologies to enhance diagnostics. 

Required Skills / Tools / Experience 

· Proficiency in Shell Script, Python, C/C++ 

· Strong Linux environment usage (Ubuntu preferred) 

· Knowledge of system programming, networking, algorithms, and data structures

• 規劃和執行 DevOps、CI/CD的長期策略。 

• 帶領和培養 DevOps 團隊成員，提供技術指導並進行績效評估。 

• 促進開發與營運團隊之間的協作、溝通與知識共享，強化 SRE思維。 

• 負責設計、部屬和維護自動化的 CI/CD 及品質管理 (如 Jenkins, GitLab CI, Sonarqube, 及相關監測工具等)。 

• 根據專案需求，建立、管理和維護多套應用系統環境。 

• 熟悉相關配置管理工具，確保不同環境的配置一致性。 

• 部署和管理集中式監控 (如 Prometheus, Grafana) 和日誌系統 (如 ELK Stack, Splunk)，以主動式警報和故障排除流程。