AI軟體工程師 AI Software Engineer (Data Science & AI Team)

1. 部門人力能力規劃 

2. 整合軟韌體開發資源 

3. 客戶軟韌體開發對接窗口

1. 部門人力能力規劃 

2. 客戶軟韌體量產導入服務 

3. 量產後軟韌體第一線維護及工程對接

電動車類/車用電子/儲能 

1.熟悉BMS/BMU軟體架構 

2.負責各種上位機架設以及調適 

3.負責產品法規和廠規測試,驗證以及除錯  

4.協助處理客戶端問題及現場技術支援

1.維持與客戶良好關係，協調對接客戶開發/FA需求 

2.參與部門團隊建設，管理團隊事務，進行總結沉澱，帶動團隊進步  

3.參加專案日常會議，了解專案生產狀況，需要時進行工作匯報 

4.跨部門溝通協作，推動問題解決 

5.獨立完成問題的匯總、報告和追蹤，確保問題清晰落地  

6.負責各種簡報的製作及匯報

1. 建構 x86 / ARM 平台之 Linux RTOS 執行環境 

2. 設計與整合 EtherCAT / Modbus 等通訊協定與驅動模組 

3. 串接伺服器、感測器、相機等設備通訊控制 

4. 負責控制模組與 AI 模型的整合部署與環境建置

1. 開發人形機器人之雙臂／雙足運動控制與任務決策模型 

2. 設計 PD / Impedance / Model Predictive Control 等控制器 

3. 訓練強化學習與模仿學習模型，實現決策與感知行為 

4. 使用 Isaac Sim / Gazebo 等模擬平台驗證 Sim2Real 效果 

5. 整合 AI 模型與控制模組，執行實體部署與系統測試

- 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

設計與實作智慧城市平台所需的後端API服務，確保資料安全、效能與穩定性。 

1. 熟悉RESTful API設計與OpenAPI規範 

2. 熟悉Node.js/Go/Python等語言 

3. 熟悉容器化技術與Kubernetes 

4. 熟悉CI/CD與API安全機制

開發AI模組以支援智慧城市應用場景（如客服、預測、流程優化），並進行模型部署與測試。 

1. 熟悉Python與深度學習框架（如PyTorch、TensorFlow） 

2. 具備ML/DL模型部署經驗 

3. 熟悉MLOps與雲端運算平台 

4. 有實務專案經驗尤佳

1.Server性能及健康監控程式開發(Prometheus, Grafana..) 

2.Server測試自動化程式開發(Redfish, IPMI, SNMP, BMC...) 

3.Server OS 鏡像自動化開發, 訂製及部署

•開發和維護EDA應用雲服務 

•使用Python和Git進行開發和版本管理  

•利用Python和資料結構及Algorithm進行資料處理分析  

•開發和維護Dash Web/Restful API  

•使用Yolo8和sentence-transformer進行finetune應用  

•使用OpenCV進行圖像處理應用  

•使用LLM/ VLM進行語言模型應用

1. Responsible for Windows driver management for assigned projects  

2. Windows driver issue analysis 

3. Cross-team and company collaboration

1、具有Web程式開發經驗。 

2、會使用Javascript、CSS、HTML5 

3、有相關前端framework經驗 ex：vue.js、flutter 

4、熟悉RWD、排版、網頁架構

1. HPC/AI 網路系統設定與管理 

2. HPC/AI 網路測試與佈署程式開發 

3. HPC/AI 網路效能分析 

3. HPC/AI 網路架構規劃

1. Server platform BMC development, validation, debugging. 

2. BMC requirements implementation and issues fixed. 

3. Project handle and collaborate with customer and cross-functional teams.

＜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、負責軟體之分析、設計及程式撰寫。 

2、系統異常問題處理及日常維護。 

3、提供生產產線技術性支援及解決產線異常。 

4、進行跨部門溝通及合作。

1. 制定自動化設備視覺應用改進完善方案 

2. 視覺應用工作整體把控 

3. 機器視覺方案設計及可行性分析 

4. 自動化機器視覺算法設計及開發 

5. 與客戶檢討設備方案及驗證狀況改善推動 

6. 有良好的帶隊能力或專案驅動力

1. 伺服器BMC韌體設計開發 

2. 既有專案維護 

3. 跨單位技術上的溝通探討 

4. 了解客戶需求與熟悉產品規格

1. Embedded Linux development on ARM/MIPS SOCs.  

2. Linux technology and GNU tool chains. 

3. Experience of developing device drivers or kernel modules.  

4. Cloud Server, Storage Server, Data Center Server & Micro Server firmware development.