Software, Electrical, Industrial or Computer Engineering AI Internship

Your Team The Analog Competency Center provides leading-edge custom analog, ESD and IO solutions for microprocessors and microcontrollers with mixed A/D signal processing circuits. We are currently looking for a student for a 6‑month internship to develop and prototype a new machine learning and computer vision system that will be used to debug and categorize IC field failures.
Responsibilities   Gathering requirements for IC field failure root‑cause characterization.
Conducting literature survey to understand existing state of the art and identify potential areas for innovation.
Developing preliminary data mining/analysis techniques, including natural language processing and image classification/segmentation agents applied to IC field failure reports.
Training these agents on a subset of IC field failures to create a machine learning model that categorizes a larger universe of failures.
Benefits   A great opportunity to develop your skills (technical, soft skills, communication, etc.).
Gaining experience in a multinational and diverse environment.
Possibility to become part of NXP’s Young Professional Talent Pool.
Working on real assignments that contribute to NXP’s objectives.
Profile   Master of Science – last year of engineering school, with strong bases/understanding of Machine Learning, Computer Vision, Neural Networks, Generative AI and Natural Language Processing.
A familiarity with CMOS circuits would be a plus.
Affinity with Python programming development.
Good level of English proficiency is required (attendance at meetings/presentations to international team, reading and writing of documentation).
Duration  This is a full‑time internship (40 hours per week) with a duration of 6 months or longer. The assignment could also be suitable as a thesis/graduation project. Please note that, to be considered for an internship/working student assignment, you must be registered as a student during the entire period.

#J-18808-Ljbffr