Software Engineer Intern — Build Real Projects

Austin Community College; United States; On-site; USD 30,000 - 50,000; Full time

Job summary

An educational institution seeks PhD candidates for a winter 2026 internship on its Engineering Security team. Interns will contribute to the development of AI agents focused on security and privacy. Responsibilities include researching AI-driven solutions, designing automated workflows, and collaborating within engineering teams. Ideal candidates are PhD students in relevant fields with strong Python skills and an understanding of AI frameworks. This opportunity is essential for those interested in applying their research in a fast-paced environment.

Qualifications

• Current PhD student with at least one semester/quarter remaining after the internship.
• Strong grasp of AI-driven security systems and tools.
• Ability to conduct independent research.
• Experience in applying LLMs in security contexts.

Responsibilities

• Research and prototype AI-driven security agents.
• Design automated patching and verification workflows.
• Investigate LLM-based agents' capabilities in security.
• Collaborate with engineers for integration into systems.
• Document findings for technical reports and publications.

Skills

Understanding of LLM ecosystem

Proficiency in Python

Experience with ML frameworks

Research capabilities

Strong problem-solving skills

Education

Current PhD student in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

An educational institution seeks PhD candidates for a winter 2026 internship on its Engineering Security team. Interns will contribute to the development of AI agents focused on security and privacy. Responsibilities include researching AI-driven solutions, designing automated workflows, and collaborating within engineering teams. Ideal candidates are PhD students in relevant fields with strong Python skills and an understanding of AI frameworks. This opportunity is essential for those interested in applying their research in a fast-paced environment.