Job Description

Ph.D. in Computer Science, Electrical Engineering, Data Science, or related field: Minimum 5 years of relevant experience. Master's degree in a related field: Minimum 7 years of relevant experience. Bachelor's degree in a related field: Minimum 10 years of relevant experience. Proven experience applying data science models to engineering and manufacturing problems. Strong foundation in statistical modeling and machine learning. Experience in data cleansing, outlier detection, and handling missing data. Proficiency in Python and/or R. Hands-on experience in Silicon Design Verification and understanding of semiconductor design flows is highly desirable. Experience with Natural Language Processing (NLP) techniques including text classification, entity recognition, topic modeling, and semantic search. Familiarity with Large Language Models (LLMs) such as GPT, BERT, or similar, and their application in industrial or manufacturing contexts. Experience in filing patents and publishing in conferences and journals.

Skills Required