Job Description

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.

Pay Rate

$17.62/hour

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.

Qualifications

• 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.