IAE Cybersecurity Automation Intern - Summer 2026

University of South Florida•Tampa, FL

9d•$18•Onsite

About The Position

The University of South Florida (USF) Institute of Applied Engineering (IAE) provides agile, best value engineering solutions to enhance the performance, effectiveness of its sponsors, including the Department of Defense; other federal, state, and local agencies; and industry. These engineering solutions include hardware-and-software-based research, advanced technology development, prototypes, and technical services. The DevSecOps – AI/ML/Platform Intern will work under the direction of Accenture Federal Services (AFS) technical leadership to support specialized programs. This internship offers an opportunity to work on meaningful data science and program management initiatives supporting broader Department of War (DoW) efforts. The intern will contribute to research, analysis, and the development of tools that enhance operational decision-making and resource allocation. The internship program is administered by USF Institute of Applied Engineering. Upon hire, you will be considered both a USF IAE Temporary Employee and an AFS student intern. Because this internship is partially funded by the U.S. Department of Defense and candidates may work with Controlled Unclassified Information (CUI), U.S. citizenship is required. Time commitment Hours of operation are 8:00am to 5:00pm Monday thru Friday. This position requires a minimum of 15 hours and a maximum of 20 hours per week during the Fall/Spring semesters and a minimum of 20 hours and a maximum of 29 hours per week during the Summer semester. This internship is in-person with limited remote work opportunities. Opportunities Invaluable work experience Build resume and explore career options Apply skills and knowledge to the workplace. Upon completion of the internship, a letter of recommendation can be provided upon request Pay Rate $17.62/hour

Requirements

U.S. citizenship is required due to Department of Defense funding and potential access to Controlled Unclassified Information (CUI).
Pursuing a Bachelor’s degree in Computer Science, Software Engineering, Cybersecurity, Data Science, Computer Engineering, Electrical Engineering, or a similar technical discipline
Junior or Senior standing
Minimum 3.0 GPA
Experience with Java, Python, Golang, Javascript or similar programming languages is required
Basic knowledge and experience using Git for version control
Basic knowledge on creating MLOps Platforms.
Basic troubleshooting skills
Basic knowledge and understanding of fundamental protocols (TCP/IP, HTTP, DNS etc.)
Good planning and organizational skills
Well-developed interpersonal and communication skills
Must be willing and able to work in a dynamic, rapidly changing environment.

Responsibilities

Implement and test High Performance Computing (HPC) Hardware for high throughput workloads to include storage and GPU configurations.
Design, prototype, and test cybersecurity-focused software systems, such as creating Application Programming Interfaces (APIs) and Graphical User Interfaces (GUIs) to support automated compliance.
Develop, deploy, and maintain cloud-based applications and automation workflows within a hybrid cloud environment.
Support the creation and enhancement of cybersecurity automation pipelines, including CI/CD and SecOps integrations.
Conduct research and analysis to support cybersecurity automation initiatives and technical decision-making.
Document processes, technical findings, and standard operating procedures.
Contribute to program management tasks such as tracking workflow progress, preparing briefings, and organizing project artifacts in an Agile/Kanban fashion.

Benefits

Invaluable work experience
Build resume and explore career options
Apply skills and knowledge to the workplace.
Upon completion of the internship, a letter of recommendation can be provided upon request

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