AI-Driven Mission Software Intern: Prototyping & Security

Software Engineering Institute | Carnegie Mellon University

Pittsburgh (Allegheny County)

On-site

USD 34,000 - 48,000

Full time

26 hours ago
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Job summary

Software Engineering Institute (SEI) at Carnegie Mellon University in Pittsburgh, PA is seeking several highly motivated engineering students for our Summer 2027 Internship Program.

This is not a typical "support" internship; you will be integrated into a high-performance team of researchers and engineers working on mission-critical challenges, with AI-Aware focus on integrating Agentic AI and LLMs to augment engineering workflows, accelerate development, and enhance code analysis.

Qualifications

  • Current enrollment in a degree program (CS/CE/EE/SE).
  • Ability to work on-site at the SEI Pittsburgh, PA office for Summer 2027.
  • Background check clearance required.
  • Eligibility to work in the United States without visa sponsorship.

Responsibilities

  • Prototyping & Development: Design and implement software prototypes addressing security and engineering challenges.
  • Vulnerability Research: Analyze codebases to identify weaknesses and potential attack vectors.
  • Resilience Engineering: Research and implement methods to improve software robustness and system resilience.
  • Innovation: Develop new tools, techniques, and automated processes for complex software problems.
  • Scholarly Contribution: Potential to co-author research findings for publication.

Skills

C++
Python
Java
Linux
Agile

Education

Enrollment in CS/CE/EE/SE degree program

Tools

Linux

Job description

Software Engineering Institute (SEI) at Carnegie Mellon University in Pittsburgh, PA is seeking several highly motivated engineering students for our Summer 2027 Internship Program.

This is not a typical "support" internship; you will be integrated into a high-performance team of researchers and engineers working on mission-critical challenges, with AI-Aware focus on integrating Agentic AI and LLMs to augment engineering workflows, accelerate development, and enhance code analysis.

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