Assistant Professor - Electrical Engineering: ASIC, SOC, AI/ML Hardware & Embedded Systems Design

$104,000 - $120,000/Yr

San Jose State University - San Jose, CA

Full-time - Entry Level

San Jose, CA

10,001+ employees

Educational Services

About the position

The Department of Electrical Engineering at San José State University (SJSU) is excited to announce a search for a tenure-track Assistant Professor position in the areas of ASIC, SOC, AI/ML Hardware & Embedded Systems design, commencing in August 2025. The successful candidate will be responsible for teaching both undergraduate and graduate electrical engineering courses, and it is preferred that they have a strong research background in these areas. SJSU is located in the heart of Silicon Valley, which provides a unique opportunity for collaboration and industry engagement. The department is committed to delivering a high-quality electrical engineering education, supported by state-of-the-art laboratories and industry-sponsored projects, ensuring that students gain practical experience alongside their academic studies. The department currently serves over 550 undergraduate and 250 graduate students, and it emphasizes the importance of professional experience through various roles such as Instructional Student Assistants and Teaching Associates. Graduates from the program are well-prepared for careers in diverse fields including device physics, micro and nano electronics, integrated circuits, communications, signal processing, and machine learning, among others. The department's commitment to diversity, equity, inclusion, and belonging is paramount, as it recognizes the value of varied perspectives in enriching the educational experience. SJSU is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander Serving Institution (AANAPISI), and it is dedicated to increasing faculty diversity to better serve its diverse student body. Candidates are expected to demonstrate a commitment to equity and inclusion through their research, teaching, and service. A Diversity Statement is required as part of the application package, highlighting the candidate's understanding and commitment to these values. The position offers a competitive salary, commensurate with qualifications and experience, and includes a comprehensive benefits package that is highly regarded in the higher education sector.

Responsibilities

• Teach undergraduate and graduate electrical engineering courses.
• Supervise and advise students in both undergraduate and graduate programs.
• Develop modern curriculum in Embedded Systems, System on Chip, and ASIC with applications in Machine Learning, Deep Learning, and Robotics.
• Establish a research program related to the field of interest.
• Seek external partnerships, funding, and collaboration with Silicon Valley and beyond.
• Participate in shared governance through department, college, and university committees and other service assignments.
• Organize all classes within the Canvas Learning Management System (LMS).
• Demonstrate awareness and experience in understanding the needs of a diverse student population through inclusive course materials and teaching strategies.

Requirements

• Ph.D. degree in Electrical Engineering, Computer Engineering, or Computer Science by the start of the appointment.
• Research background in Embedded Systems, ASIC, and SOC design.
• Strong commitment to teaching excellence at both undergraduate and graduate levels and engagement in curriculum development.
• Awareness of and sensitivity to the educational goals of a socially and economically diverse student population.

Nice-to-haves

• Academic and industry experience in Embedded Systems, SOC, and ASIC design in artificial intelligence and robotic applications.
• Potential for high-quality research demonstrated by publications and/or external grants received.

Benefits

• Competitive salary commensurate with qualifications and experience.
• Comprehensive benefits package for faculty employees.