Diagnostic軟體開發工程師

1. 系統平台上的使用者介面視覺設計  

2. 以使用者中心設計為原則，設計直覺又優美的使用者介面  

3. 使用者介面上的共用元件視覺設計及相關使用文件產出  

4. 軟體介面上所需的圖像及動態設計  

5. 使用者介面設計的易用性評估與改善

您將共同進行以下工作項目: 

1. HPC軟硬體集群架構規劃 

2. 網路系統設定與管理 

3. HPC 叢集建置與管理自動化

* 雲平台產品的售前與售後支持 

* 提供維運團隊技術支援 

* 對用戶需求做分析及提供解決作法 

* 對團隊內部及合作單位進行教育訓練

配合高速成長的AI伺服器業務，我們正在擴大招募HPC (高效能運算) 集群設計、效能測試與分析的團隊。我們期待您有分析並系統性解決問題的能力，願意在世界級的先進平台上開發精進，和公司以及客戶共贏共榮。您將共同進行以下工作項目: 

1. 測試自動化與數據分析 

2. 機器學習效能分析 

3. LLM 訓練效能分析 

4. 分散式系統軟硬體調校

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. 使用Lua和Objective-C在Mac OS上開發軟體用於自動化硬體功能測試。 

2. 與跨職能團隊合作，分析、排除並解決硬體功能測試問題。 

3. 使用Python或其他語言開發用於工程流程改進的軟體。 

4. 前往海外支援新產品工程需求開發。

＜About the job＞  

As the Senior Data Engineer or Data Architect, 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＞ 

*Type 1：Senior Data Engineer 

Responsible for acquiring data using API, Web scraping, or other data accessing protocol/scripting and developing the ETL data pipelines, and the data aggregation systems. Using software development experience to design and build high-performance automated systems. As below: 

1. Data Processing 

(1)Data ETL(Extracting/Transforming/Loading) process engineering and querying from relational data management(such as SQL Script). 

(2)Building systematic data quality processes and checks to ensure data quality and accuracy. 

(3)Solid coding experience in Python or Java. 

2. Data Pipeline Development 

(1)Develops a data integration process, including creating scalable data pipelines and building out data services/data APIs. 

(2)Create a data processing automation and monitoring mechanism by optimizing the data pipeline process.  

(3)Experience with dataflow/workflow/management tools, such as Apache Nifi, Apache Airflow, Azkaban, etc., is preferred. 

3. Data Crawling 

(1)Build scalable tools that automate web crawling, scraping, and data aggregation from various web pages using frameworks such as Scrapy. 

(2)Accessing data from REST APIs, particularly in parsing data in disparate formats such as JSON and XML, and developing automated engineering.  

(3) (Nice to Have) Knowledge of server-based front-end/UI technologies, including Vue/React and HTML/CSS, is preferred. 

*Type 2：Data Architect 

Responsible for designing, implementing, and maintaining scalable and reusable system architectures/data architectures for complex data structures and large data in data science and AI projects. As below: 

1. Data Schema Design 

(1)Collaborate with the team to design DB/Table Schema and Data Schema. 

(2)Consolidate the requirements and use data engineering tech to design and implement a robust Data Mart.  

(3)Experience handling all kinds of structured/semi-structured/unstructured data and streaming data is preferred. 

(4)Hands-on experience with Dimensional Data Modeling(Column-based data warehouse) or NoSQL Schema design. 

2. Data Platform Architecture 

(1)Design and build data infrastructure/platform components to support complex data pipelines ingesting various data from multiple internal and external data sources and processing. 

(2)Familiar with Big Data frameworks and processing technologies, ex: Hadoop, Apache Spark, NoSQL ...etc. 

(3)Familiar with AZURE or AWS cloud data services(hands-on experience with cloud infrastructure will be a plus) 

(4)Familiarity with the Linux OS environment, the Shell Scripting, and infrastructure knowledge.  

(5)(Nice to Have)Experience with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s). (Nice to Have).

【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. 根據客戶應用需求,提供雲端產品技術整合之系統架構,提供符合客戶需求之產品服務 

2. 跨部門協調研發及生產單位,提供系統整合產品服務 

3. 研究及分析雲服務市場需求並設計符合客戶需求之產品

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

1.遊戲軟體程式設計 

2.網路伺服器程式設計 

3.伺服器維護 

4.伺服器管理後台程式設計 

5.具好奇心, 工作熱忱、樂於學習與成長、喜歡參與開發及討論