ECE Software Engineering Teaching-Track Faculty Position (Silicon Valley Campus)

The Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University is accepting applications from candidates for teaching-track positions at our Silicon Valley campus. We have specific interest in candidates for our Software Engineering MS-degree program at the assistant professor level, but all ranks will be considered. 

The ECE department and College of Engineering are ranked among the top programs in the United States, both at the undergraduate and graduate levels. We are an extremely collaborative department with ties to several multidisciplinary institutes and centers. We collaborate with colleagues around the world through a number of research and educational programs. 

Our mission is to be a creative driving force of the highest scholarly and entrepreneurial quality that will inspire and educate engineers to solve important societal challenges. The foundation of our collaborative research is based on a strong practice of inclusion. We take pride and active steps in considering a diverse applicant pool in terms of gender, race, veteran status, and disability. Carnegie Mellon University further seeks to meet the needs of dual-career couples and is a member of the Higher Education Recruitment Consortium (HERC) that assists with dual-career searches.

We are seeking individuals who hold a Ph.D. in a relevant discipline and have demonstrated commitment to our core values: creativity, quality, innovation, and engineering solutions.

Teaching-track faculty in our Silicon Valley Software Engineering master program focus primarily on teaching but our curriculum includes research opportunities as well. Teaching-track faculty in Software Engineering serve as a core part of our strategy for our MS student education and mentoring mission. We are seeking individuals who have a strong background in software engineering and a passion for teaching using modern educational techniques. New faculty will have opportunities to teach graduate-level courses that cover software engineering foundations as well as a variety of specialized topics that include: engineering large software systems, cloud computing, scientific computing, autonomy, big data, IoT, security, and AI-based systems.