高雄軟體園區-軟韌體工程師

設計、開發生成式AI應用產品前端服務 

1. 評估產品客戶功能需求可行性，設計生成式AIGC/LLM應用情境並建置前端服務介面 

2, 數據化用戶操作行為優化產品操作流程及產品功能需求 

3. 跨平台SSO帳號認證及第三方服務API整合

設計、開發和應用生成式人工智慧模型 

1. 評估AIGC/LLM模型及設計產品架構，確定最佳模型實現預期成果 

2, 應用現有數據及工程手段訓練微調AIGC/LLM模型 

3. 將AIGC/LLM模型整合到現有產品中或圍繞模型設計新系統

Job Summary:  

• The engineers should have comprehensive knowledge of AI Large language models, such as GPT-4, and their underlying mechanisms, including an understanding of natural language processing, machine learning, and neural networks. 

Key Responsibilities: 

• Construct, train, and fine-tune large language models to meet specific organizational requirements and goals. Implement strategies for AIGC to create high-quality content. 

• Integrate AI technologies into existing products and services, ensuring they align with business objectives and enhance user experience. 

• Work collaboratively with cross-functional teams and provide technical guidance to non-technical members. Stay updated with AI advancements and educate team members on new developments. 

• Continuously monitor the performance of AI models, making adjustments and improvements based on data analysis and business needs. 

• Maintain effective communication with other teams to ensure collaborative project success. 

• Engage in ongoing learning and research to identify and implement new and appropriate Large Language Model technologies to enhance overall efficiency.

1. 研究雲儲存元件和新功能、新版本開發演進，及系統優化，進行功能導入設計 

2. 雲儲存應用服務整合設計與開發 

3. 協助存儲平台問題釐清解決與設計優化 

4. 開發自動化佈署套件 

5. 協助客戶資料中心運維技術支援

＊對於開發Java 網站有開發經驗 

＊了解Alfresco 架構與相似經驗開發。  

＊進行開發前後功能之相容測試與除錯修改、規格技術文件撰寫。  

＊協助研發網站新技術與新工具。  

＊提升自我網站前後端技術，行動應用及網路發展趨勢

1. Develop Cluster Deployment/Management/Monitor Modules 

2. Big Data Platform Operation (Hadoop, Spark, HBase, ...) 

3. Support Customer to Maintain Big Data Platform

＊了解虛擬化VDI 應用 

＊Restful API呼叫、設計以及程式撰寫。  

＊進行開發前後功能之相容測試與除錯修改、規格技術文件撰寫。  

＊協助研發網站新技術與新工具。  

＊提升自我網站前後端技術，行動應用及網路發展趨勢

Job Summary: 

The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other R&D activities such as algorithm designs, prototype developments and experimental designs.  

Key Responsibilities: 

• Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness. 

• Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. 

• Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. 

• Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts. 

• Engage with customers to develop and customized data analytics solutions to address special needs. 

• Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. 

• Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders. 

• Collaborate effectively with team members, whether leading projects or supporting initiatives led by others.  

• Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights.

1.數據監控Web程式開發與設計 

2.雲端應用服務功能開發 

3.使用者介面程式開發 

4.軟體模組開發與整合

* 開發 OpenStack 和 CEPH 的自動化佈署。 

* 開發自動化維運工具。 

* 協助客戶進行平台規劃和佈署。

1.監控系統程式開發與設計 

2.弱電設備安裝測試維護 

3.環控系統安裝測試維護

團隊組成 (Team): 

前身是提供企業內部資料分析顧問服務以及打造客製化資料系統服務團隊之資料工程部門，擁有多年經驗。目前積極規畫與開發自有的資料處理平台，支撐高自由度、高效能、可靠並可擴展之資料處理/分析流程，解決實務上欲打造一套資料系統的難題。 

工作內容 (Responsibilities): 

1. Software Engineering: 

• Produce specifications and determine operational feasibility 

• Write well-designed and testable code for building an efficient and stable system 

• Troubleshoot, debug, maintain, and upgrade existing systems 

2. Data Platform Development & Data Engineering: 

• Module development and integration for building a modern data platform 

• Efficient data flow/pipeline module design and Implementation 

• Work closely with data science team to integrate ML/statistical models and analytical workflow

我們是一個專注在提供資料分析解決方案、顧問服務及平台開發的團隊，成員組成主要包含統計、資料探勘、機器學習、資料庫、數據分析網站平台開發、資料視覺化等背景。我們徵求有高度企圖心的軟體開發工程師來共同打造世界一流之產品，發揮資料科學的商業影響力 

Responsibilities: 

• 網頁平台介面開發 

• 網頁平台API 開發 

• 分析資料整合與串接

1. 負責AI應用資料視覺化顯示與雲端顯示介面 

2. 協助AI Framework雲端顯示介面開發 

3. 持續學習新技術並導入相關系統開發

1. 研究雲平台核心元件和新功能、新版本開發演進，及系統優化，進行功能導入設計 

2. 平台上層應用服務整合設計與開發 

3. 協助平台問題釐清解決與設計優化 

4. 平台架構設計與優化

1. 熟 JAVA, 資料庫應用, 及網頁設計語言(Thymeleaf, HTML, Javascript,CCS 等)者佳 

2. 熟悉 JSP/Servlet 技術,了解 J2EE 概念 

3. 懂 Spring framework, JPA, HIBERNATE 等 open-source 技術架構 

4. 熟 Java Web AP 開發架構者 (含: Spring, Spring boot, Struts, Hibernate… 等) 

5. 有Git 使用經驗 

6.有 docker或k8s佈署經驗尤佳

1. 硬體診斷軟體開發及現有模組維護 

2. 硬體壓力測試軟體開發及維護 

3. 依產品功能建構測試計畫並導入工廠

1. 測試軟體與網頁平台開發 

2. 伺服器/存儲器測試及功能開發 

3. 軟體部屬測試環境管理規劃

1. 熟悉並了解 NVIDIA DGX/HGX/MGX/IGX 等系統架構。 

2. 熟悉並了解 NVIDIA GPU/CPU/DPU/Networking 等相關元件組成。 

3. IT infrastructure setup 

4. 叢集架構建置與效能分析。 

5. 叢集佈線環境設計。

1. Design, deploy and maintain large scale AI/HPC cluster virtualization environment (Slurm, Kubernetes, Kuberay, Ray, Helm, HTCondor, LSF, DLRover, LamaFacotry, etc) 

2. Orchestra and optimize large scale virtualization enivronment for HA and high performance 

3. Security assessment and implementation on the large scale cluster platform 

4. Scaling and automation system development