Job Overview
- Prepare and maintain work instructions, process specifications, and change documents for sputter processes to ensure compliance with corporate quality systems and customer requirements
- Establish and continuously optimize CPK and process windows for critical parameters to ensure stable, consistent, and repeatable mass production processes
- Complete deployment and optimization of large models (vLLM/Qwen), AI Agents, WebUI, and MySQL integration
- Daily maintenance: service stability, GPU resources, model inference, database integration, log monitoring
- Iterative optimization: Agent capabilities, Prompt engineering, RAG, time series forecasting, production line data integration
- Production line integration: Understand coating processes and implement AI capabilities for production optimization
- Linux Systems: Proficient in Ubuntu, command line, Shell, Docker, docker-compose
- Large Model Deployment: vLLM, Open WebUI, local LLMs (Qwen/Llama/ChatGLM), model quantization (GPTQ/AWQ)
- AI Agent: LangChain/LangGraph, RAG, prompt engineering, tool calling
- Database: MySQL (SQL writing, connection, optimization, transactions); time series databases (InfluxDB/TDengine) are a plus
- Programming: Proficient in Python (FastAPI/Flask, Pandas, PyMySQL); knowledge of C++/CUDA is a plus
- GPU and Computing Power: CUDA, NVIDIA GPUs (H100/H200/A100), multi-GPU scheduling, memory optimization
- Industrial Scenarios: Familiarity with manufacturing/semiconductor/coating processes, PLC/production line data, MES/database integration is preferred
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