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University of South Florida · 3 weeks ago

IAE Software Engineering Intern - Spring 2026 (Student Assistant Role)

Tampa, FL

Internship

Onsite

Intern

Start in 2026 Spring

The University of South Florida is seeking a Software Engineering Intern with an emphasis in Artificial Intelligence and Machine Learning to support ongoing research and development projects. The intern will work directly with engineering staff on projects involving the design, development, testing, and validation of intelligent software systems.

EducationTrainingUniversities

No H1B

U.S. Citizen Only

Responsibilities

Participate in concept definition, maturation, and use case refinement for AI/ML- enabled systems

Assist in identifying and evaluating machine learning algorithms, frameworks, and tools for project use cases

Support data exploration, preprocessing, and analysis for training/testing ML models

Develop prototype applications in Python or other high-level languages to integrate ML models into system workflows

Conduct experiments with ML algorithms to demonstrate feasibility and performance

Contribute to development of system/software architectures incorporating ML components

Establish and maintain project documentation, including requirements, analyses, experimental results, and designs

Present findings and progress to project leads and team members

Qualification

PythonMachine LearningSoftware DevelopmentML FrameworksData StructuresLinuxVersion ControlCommunication SkillsInitiative

Required

Candidates for this internship should be full-time students (at least sophomore, junior,) pursuing a degree in Computer Science, Software Engineering, Computer Engineering, or Robotics, Engineering program of study

Candidates should have classroom or team project experience in software development, with interest or exposure to AI/ML concepts

Due to the nature of working with DoD/CUI information, U.S. Citizenship is required for candidates

This role is open to active USF Students only

Experience developing applications in one or more higher-level programming languages (e.g., Python, Java, C/C++) with a solid background in data structures and algorithms

Basic understanding of machine learning principles (e.g., supervised vs. unsupervised learning, model training/testing, evaluation metrics)

Familiarity with at least one ML framework (e.g., PyTorch, TensorFlow, Scikit-learn, HuggingFace)

A basic understanding of software design concepts and (preferably) experience with UML

Experience with Linux and shell scripting

Familiarity with software version control tools (e.g., Git, Bitbucket, CodeCommit)

Awareness of the software development lifecycle and agile development concepts

Excellent communication skills: able to work in a diverse team; able to write and review technical documentation; able to present concepts and designs clearly

Initiative: able to self-organize, self-motivate, and work proactively and productively with minimal supervision