Senior R&D Engineer - Machine Learning Modeling

Role Summary

This position involves contributing to the development of advanced modeling software for semiconductor processes, focusing on innovations in machine learning and computational lithography.

Experience Level

Ideal candidates will possess an MS degree in CS, EE, Physics, Applied Math, or related fields with at least 8 years of relevant experience, or a PhD with a minimum of 5 years.

Responsibilities

• Enhance existing functionalities within modeling software to meet customer needs.
• Translate customer requirements into robust modeling solutions.
• Design innovative algorithms and analyze measurement data.
• Create specifications and comprehensive test plans for model solutions.
• Collaborate with software, hardware, and customer teams for integration.
• Optimize performance and scalability of modeling components utilizing modern computational methods.
• Investigate new modeling approaches by implementing machine learning techniques.

Requirements

• Strong proficiency in Python and C++ programming.
• Expertise in data structures, algorithms, and parallel computing.
• In-depth knowledge of physical modeling alongside statistical analysis and optimization.
• Experience in image/polygon processing and familiarity with machine learning and computational lithography.

Education Requirements

Applicants should have an MS or PhD in a relevant field such as Computer Science, Electrical Engineering, Physics, or Applied Mathematics.