Job Description
The Software Engineer reports to the Principal Investigator and performs research duties for the Army Corps of Engineer’s ERDC “Operational Technology (OT) and Internet of Things (IoT) Asset Identification and Management” project in the Department of Electrical & Computer Engineering and College of Engineering & Computer Science. This project is in collaboration with the Tandy School of Computer Science and the School of Cyber Studies in the College of Engineering & Computer Science and appointment may be in either of these programs in addition to Electrical & Computer Engineering based on mutual consent of all parties. Software engineers support a variety of programming and software development needs, including embedded systems programming, to execute the research activities and satisfy the objectives of a sponsored project funded by the US Army Engineer Research and Development Center ( ERDC ). The project aims to develop tools to fingerprint, identify, and classify assets in a smart environment while providing operational intelligence for the environment. Development of software that interacts with and manages autonomous systems within the environment to collect information and interact with the system is needed. Artificial intelligence (AI) and machine learning (ML) will be included in the system to assist with system level decision making.
Physical Demands
Some light lifting may be necessary.
Required Qualifications
B.S. or M.S. in Computer Science, Computer Engineering, Cyber Studies, Electrical Engineering or a related field. Excellent oral, written, organizational and interpersonal skills; the ability to work under limited supervision; the ability to handle multiple tasks while meeting deadlines; demonstrated effectiveness in working with a variety of administrative levels and diverse groups of people located both internally and externally to the institution.
Preferred Qualifications
Previous experience as a software or embedded engineer in industry or as a researcher in an academic setting. Familiarity and/or proficiency with network security, Internet of Things (IoT) technologies and networks, network infrastructure, sensor technologies, security economics, artificial intelligence (AI), and/or machine learning (ML).
