Mission-Capability Intern: Prototyping, Security & AI

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 34,000 - 55,000; Full time

Benefits offered by this job

Medical Insurance

Retirement Plan

Paid Time Off

Transit Pass

Family Concierge Services

Fitness Center Access

Job summary

Carnegie Mellon University’s Software Engineering Institute (SEI) invites motivated engineering students to join the Summer 2027 Internship Program in Pittsburgh. You’ll work on mission-critical challenges as part of a high-performance research team, with emphasis on integrating Agentic AI and LLMs to augment software engineering workflows.

You will contribute to prototyping, vulnerability research, and resilience engineering while potentially co-authoring research findings for publication.

Qualifications

• Currently enrolled in a degree-granting program (e.g., Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering).
• Ability to work on-site at the SEI Pittsburgh, PA office for the duration of the summer 2027 internship.
• Ability to pass a background check.
• Eligibility to work in the United States without visa sponsorship.

Responsibilities

• Prototyping & development: design and implement software prototypes for security and engineering challenges.
• Vulnerability research: analyze codebases to identify weaknesses and attack vectors.
• Resilience engineering: research and implement methods to improve software robustness and system resilience.
• Innovation: develop tools and automated processes to solve complex software problems for the US Government.
• Scholarly contribution: opportunity to co-author research findings for publication.

Skills

C++

Python

Linux

Agile

LLMs/Agentic AI

Education

CS, CE, EE or SE - degree program (current enrollment)

Tools

Git

Job description

Carnegie Mellon University’s Software Engineering Institute (SEI) invites motivated engineering students to join the Summer 2027 Internship Program in Pittsburgh. You’ll work on mission-critical challenges as part of a high-performance research team, with emphasis on integrating Agentic AI and LLMs to augment software engineering workflows.

You will contribute to prototyping, vulnerability research, and resilience engineering while potentially co-authoring research findings for publication.