Master Thesis Internship - AI-Driven Transistor Design Exploration
Core
Develop an AI-Agent to evaluate trade-offs between performance, mismatch, area, power, and technology options using internal device exploration tools.
Role type
Master Thesis Intern, AI-driven semiconductor design exploration
Builds
AI agents for device characterization and design-space exploration
Domain
Semiconductor design, AI/ML, Electronics
Deliverable
production ML models
Required skills
Python, Machine Learning libraries (Pandas, NumPy), Linux environment, Analytical problem solving
Preferred skills
EDA tools knowledge, Data engineering, Git, Jira, Prior AI/ML project experience
Technologies
Python, Pandas, NumPy, pyQT, Linux
Responsibilities
Develop AI-Agent for device evaluation, Learn device optimization and process exploration, Establish best-in-class methodologies for design centers, Work in a multicultural global environment
