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Job Mission
Represent manufacturing and act as gatekeeper from manufacturing to D&E function
Add value in overall manufacturing processes such as forming, machining, joining, and assembling
Job Description
Contribute to the solution of faults and takes the necessary initiatives and practical decisions to ensure zero repeat
Identify gaps and drive assigned process improvement projects and successful delivery
Initiate and drive new procedure changes and projects
Develop and maintain networks across several functional stakeholders
Prioritize works and projects based on business situation
Transfer knowledge and train colleagues on existing and newly introduced products
Education
Master degree in technical domain (e.g. electrical engineering, mechanical engineering, mechatronics)
Experience
3-5 years working experience in design engineering
Personal skills
Show responsibility for the result of work
Show proactive attitude and willing to take initiative
Drive for continuous improvement
Able to think outside of standard processes
Able to work independently
Able to co-work with different functional stakeholders
Able to demonstrate leadership skills
Able to work in a multi-disciplinary team within a high tech(proto) environment
Able to think and act within general policies across department levels
Diversity and inclusion
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.
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This role might be the one you've been looking for if you are eager to get early access to cutting-edge AI and robotics technologies and be passionate about integrating hardware and software to apply AI in solving real-world challenges!
Join us if you're up for the challenge; also, providing an English CV would be a plus!
#Advanced communication skills in English is a must!
*About the Role:
We are looking for an engineer to build and deploy AI agents that can see and interact with the world through robotics systems. You will be working on everything from setting up hardware to coding intelligent agents for customer demonstrations.
*What You Will Do:
Hardware Setup & Deployment (20-30%)
•Install and configure Nvidia Jetson devices on robots
•Set up vision systems and troubleshoot hardware issues
•Ensure quick deployment for demos and exhibitions
*AI Agent Development (40-50%)
•Build AI agents using Large Language Models (LLMs)
•Work with AI frameworks like LangChain, CrewAI, or Hugging Face
•Connect AI agents to computer vision tools and robot controls
•Use platforms like Nvidia Agent Studio or Autogen for UI development
•Debug and optimize AI pipelines to meet project goals
*Computer Vision (10-20%)
•Work on object detection, image segmentation, or OCR systems
•Train and optimize vision models for robotics applications
•Develop new AI vision tools as needed
*Technical Requirements:
•Programming: Strong Python and PyTorch skills
•AI Frameworks: Experience with at least 1 LLM frameworks (LangChain, CrewAI, Nvidia NanoLLM/Agent Studio, Autogen, n8n, etc.)
•Computer Vision: 2+years experience in CV areas ex. object detection/segmentation
•Edge Computing: Experience with Nvidia Jetson devices
•Optimization: Knowledge of TensorRT, ONNX, or similar inference frameworks
•Development: Git, CI/CD, Linux/Windows environments
*Qualifications:
•Master's degree in Engineering, Computer Science, or related field
•2+ years of hands-on AI/Computer Vision experience
•Strong English communication skills is a must
•Ability to present technical solutions clearly
•Flexible and collaborative team player
若您渴望搶先接觸尖端AI與機器人技術,並希望透過融合硬體與軟體以實現運用AI技術來解決現實世界中會面臨到的問題的話,本職務或許是您正在尋覓的機會!
具體工作內容如下:
部屬與設置硬體設備(20-30%)
1.在機器人上安裝並配置 Nvidia Jetson
2.設置視覺系統並排除硬體設備相關問題
3.展場部屬設置
AI 代理開發(40-50%)
1.使用大型語言模型(LLMs)構建 AI 代理
2.使用 LangChain、CrewAI 或 Hugging Face 等 AI 框架
3.將 AI 代理與電腦視覺工具和機器人控制系統連接
4.使用 Nvidia Agent Studio 或 Autogen 等平台開發 UI
5.除錯並優化 AI 處理流程,以達成專案目標
電腦視覺(10-20%)
1.開發物體偵測、影像分割或光學字元辨識(OCR)系統
2.訓練並優化應用於機器人的視覺模型
3.根據需要開發新的 AI 視覺工具
技術要求:
1.程式設計:熟悉Python 和 PyTorch
2.AI 框架:至少熟悉一種 LLM 框架(如 LangChain、CrewAI、Nvidia NanoLLM/Agent Studio、Autogen、n8n 等)
3.電腦視覺:具備 2 年以上物體偵測或影像分割等相關經驗
4.邊緣運算:有使用 Nvidia Jetson 裝置的經驗
5.優化技術:熟悉TensorRT、ONNX 或類似推論框架
6.開發環境:熟悉Git、CI/CD、自如於 Linux/Windows 環境中工作
必要條件:
1.工程、計算機科學或相關領域之碩士學位
2.至少 2 年以上 AI / 電腦視覺實作經驗
3.具備良好的英語溝通能力(請準備英語簡歷)
4.能清楚表達技術解決方案
5.樂於協作的團隊精神