Winbond is seeking a CAD AI Engineer to develop internal AI tools and integrate large language models into engineering workflows. The ideal candidate should have a solid background in Python and experience with LLMs and data processing
Job Summary
The role involves building RAG architectures to integrate documents, Jira tickets, logs, and engineering data.
Candidates will develop internal AI tools such as knowledge assistants and debug automation systems.
The position requires integrating large language models like Gemma and LLaMA into existing engineering workflows.
Matching Summary
Match Score: 85
Winbond is seeking a CAD AI Engineer to develop internal AI tools and integrate large language models into engineering workflows. The ideal candidate should have a solid background in Python and experience with LLMs and data processing.
Skills & Requirements
Must-have
Python programming with practical experience
LLM and RAG implementation skills
Data processing for text logs and JSON
API development and backend integration
End-to-end system delivery capability
Nice-to-have
Experience with LangChain or LlamaIndex frameworks
Vector database knowledge like FAISS or Milvus
Model deployment using vLLM or Ollama
Background in semiconductor or EDA domains
Familiarity with PyTorch or TensorFlow
Knowledge of Verilog Tcl VCS PrimeSim
Key Requirements
Bachelor's degree in EE, CS, or related field
Minimum 2 years of relevant professional experience