Stage ingénieur : Génération et qualification de modèles comportementaux pilotées par l’IA (F/H)
Core
Developing innovative methodologies and AI agents to improve the generation and qualification of surrogate behavioral models for semiconductor design.
Role type
Intern, Generative AI Engineer (Semiconductor Design)
Builds
Python-based AI agents and automation tools for circuit design workflows
Domain
Semiconductor industry, Generative AI, Agentic AI
Deliverable
production ML models
Required skills
Python programming, Analog electronics, Integrated circuit fundamentals, Artificial intelligence, Machine learning, Generative AI, Agentic AI, LLMs, RAG
Preferred skills
Problem-solving, Analytical mindset, Technical documentation
Technologies
Python, LLMs, RAG, Agentic AI
Responsibilities
Analyze engineering needs and translate them into technical requirements; Explore and implement LLMs, RAG, and agentic AI in design methodologies; Design and develop Python-based AI agents and automation tools; Prototype and evaluate AI-assisted workflows for model generation and qualification; Measure performance improvements and identify automation opportunities; Document and present technical findings to engineering teams.