About the role
AI summarisedGain exclusive, hands-on experience in GlobalFoundries’ state-of-the-art semiconductor characterization facility. This role involves applying deep learning to model and optimize the performance of electronic devices, enabling inverse design by training models on experimental data.
FoundryOnsite
Key Responsibilities
- Perform device testing and data collection across various platforms
- Develop scripts for data processing, analysis, and visualization
- Prepare and clean datasets for machine learning workflows
- Train and validate deep learning models for performance prediction
- Apply inverse design techniques to generate optimal design parameters
- Optimize model accuracy through iterative training, validation, and refinement
- Potentially assist with additional hardware design on PCB to enable specific characterization during development phases
Requirements
- Bachelor's Degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or equivalent
- Interest in semiconductor devices (transistors, optical sensors, magnetic sensors)
- Ability to work within a fast-paced semiconductor R&D environment