Master Thesis Internship - AI-Driven Transistor Design Exploration
Core
Develop an AI-Agent to evaluate trade-offs between performance, mismatch, area, and power for transistor-level design decisions 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 / Electronics / AI
Deliverable
production ML models
Required skills
Python, Machine Learning libraries (Pandas, NumPy), Linux environment, analytical problem solving
Preferred skills
EDA tools, semiconductor design flows, data engineering pipelines, Git, Jira
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
Seniority
Intern
