2H University Intern FR CMOS Device Engineering
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About GlobalFoundries
GlobalFoundries(GF)is a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds most inspired technology companies. With a global manufacturing footprint spanning three continentsGFmakes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information visit.
Internship Program Overview:
Our Internsare ourtalent pipeline for GF across the globe. Our goal is to provide students withmeaningfulwork experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GFyou willexperience one-on-one mentorship work assignments that prioritize your growth and potential professional development opportunities and the chance to network with executives.
Project Title:
Characterization and Design of Electronic Devices Using Machine Learning
Project Objective:
Semiconductor devices like transistors optical sensors and magnetic sensors are key devices that could be employed for a wide range of this work the student will explore the use of deep learning to model and optimize electronic device performance based on design parameters such as architecture geometry doping profiles process conditions and operation conditions. The goal is to enable inverse design by training models on experimental data.
Project Description:
The intern will get exclusive insights and hands-on experience in GlobalFoundries state-of-the-art semiconductor characterization facility. He or she will develop models to enable the optimization of semiconductor devices. Key tasks:
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
In the course of development additional hardware design on PCB might be required to enable specific characterization. During the final phase the student will validate the setup by characterizing the devices
Project Outcome:
The intern will gain hands-on experience in device characterization data engineering and machine learning model development within a semiconductor R&D environment.
Required Qualifications:
Bachelors Degree in Electrical / Electronics / Computer Engineering or equivalent
Preferred Qualifications:
Experience in programming languages eg. Python C/C
#InternshipGFSG2026
GlobalFoundries is an equal opportunity employer cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity efficiency and innovation whilst our employees feel truly respected valued and heard.
As an affirmative employer all qualified applicants are considered for employment regardless of age ethnicity marital status citizenship race religion political affiliation gender sexual orientation and medical and/or physical abilities.
All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks medical screenings as applicable and subject to the respective local laws and regulations.
Information about our benefits you can find here: about our benefits you can find here: Experience:
Intern
About Company
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