Enabling Mission Capability at Scale Intern - Summer 2027

Carnegie Mellon University•Pittsburgh, PA

10d•Onsite

About The Position

The Software Engineering Institute (SEI), a Federally Funded Research and Development Center dedicated to advancing software engineering and supporting national security, is hiring highly motivated engineering students for its Summer 2027 Internship Program. Interns join a high-performance team of researchers and engineers working on mission-critical challenges for strategic government clients. The role seeks candidates who understand how Agentic AI and large language models (LLMs) can augment engineering workflows, accelerate development, and enhance code analysis. Interns work alongside SEI experts on software engineering and security challenges. Depending on project scope, interns may have the opportunity to co-author research for academic or industry publication. The position is based at the SEI office in Pittsburgh, Pennsylvania, and requires on-site work for the duration of the summer 2027 internship.

Requirements

Be currently enrolled in a degree-granting program, such as Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering.
Be able to work on-site at the SEI Pittsburgh, Pennsylvania office for the duration of the Summer 2027 internship.
Be able to pass a background check.
Be eligible to work in the United States without visa sponsorship.

Nice To Haves

Strong software development skills in C++ and proficiency in at least one additional language, such as C, Python, MATLAB, C#, or Java.
Familiarity with Linux operating systems and command-line environments.
Understanding of the Software Development Life Cycle (SDLC) and experience working within Agile frameworks.
Interest in or experience applying LLMs and Agentic AI to automate or enhance software engineering tasks.
Intellectual curiosity and motivation to work on mission-critical challenges.

Responsibilities

Design and implement software prototypes to address emerging security and engineering challenges.
Analyze codebases to identify weaknesses, vulnerabilities, and potential attack vectors.
Research and implement methods to improve software robustness and system resilience.
Develop tools, techniques, and automated processes to solve complex software problems faced by the U.S. Government.
Depending on project scope, potentially co-author research findings for academic or industry forums.