2H University Intern - FR CMOS Device Engineering
Core
Develop deep learning models to optimize semiconductor device performance and enable inverse design based on experimental data.
Role type
Machine Learning Engineer (Semiconductor Device Characterization)
Builds
Optimized electronic device designs and performance prediction models
Domain
Semiconductor manufacturing and R&D
Deliverable
production ML models
Required skills
Deep learning, data processing, data cleaning, model validation, inverse design techniques, device testing, data collection
Preferred skills
Python, C/C++, hardware design (PCB)
Technologies
Deep learning frameworks, data analysis tools
Responsibilities
Perform device testing and data collection, develop scripts for data processing and visualization, prepare datasets for ML workflows, train and validate deep learning models, apply inverse design techniques, optimize model accuracy, validate characterization setups
Seniority
Intern