Our graduates enjoy excellent career opportunities in a broad spectrum of theoretical and practical areas such as device physics, micro and nano electronics, analog electronics, integrated circuits, communications, signal processing, network and network security, mobile network, power electronics, energy systems, microprocessors and computer systems, embedded systems, control, robotics, autonomous systems, machine learning and deep learning, quantum information and quantum computing. Faculty member is expected to teach, supervise, and advise students in both undergraduate and graduate programs, to provide leadership in developing modern curriculum in Embedded Systems, System on Chip, ASIC, with applications in Machine Learning, Deep Learning, Robotics; to establish a research program related to their field of interest; and to seek external partnership, funding, and/or collaboration with Silicon Valley and beyond.