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Enabling Mission Capability at Scale Intern - Summer 2027

Carnegie Mellon University

Pittsburgh, PAFull-time / TemporarySeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Pittsburgh, PA
Role Type
Internship
Schedule
Full-time / Temporary
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Software Engineering Institute seeks engineering students for its Summer 2027 internship program. Interns will work with researchers and engineers on mission-critical software challenges, including security, vulnerability research, and resilience. The institute is also seeking candidates who understand how Agentic AI and large language models can augment engineering workflows, accelerate development, and enhance code analysis.

Skills & qualifications

RequiredNice to have

Skills

Software DevelopmentC++CPythonMATLABC#JavaLinuxCommand-Line EnvironmentsSoftware Development Life CycleAgileLarge Language ModelsAgentic AI

Qualifications

Current Degree Program EnrollmentBackground CheckWork Authorization Without Sponsorship

Full job description

Pittsburgh, PA

Full time

2025300

About the SEI

The Software Engineering Institute (SEI) is a Federally Funded Research and Development Center (FFRDC) dedicated to advancing the state of software engineering and supporting national security. We solve complex, large-scale problems for strategic government clients by combining rigorous research with disciplined engineering practices.

The Opportunity

We are seeking several highly motivated, intellectually curious 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.

As a member of the 2027 Intern Class, you will be expected to operate at the forefront of the industry. We are also looking for candidates who are "AI-Aware"—those who understand how to integrate Agentic AI and Large Language Models (LLMs) to augment engineering workflows, accelerate development, and enhance code analysis.

Your Impact

Working alongside world-class experts, you will engage in tasks such as:

  • Prototyping & Development: Designing and implementing software prototypes to address emerging security and engineering challenges.

  • Vulnerability Research: Analyzing codebases to identify weaknesses, vulnerabilities, and potential attack vectors.

  • Resilience Engineering: Researching and implementing novel methods to improve software robustness and system resilience.

  • Innovation: Developing new tools, techniques, and automated processes to solve complex software problems faced by the US Government.

  • Scholarly Contribution: Depending on the scope of your project, you may have the opportunity to co-author research findings for publication in academic or industry forums.

Qualifications

Minimum Requirements:

  • Current enrollment 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.

Preferred Knowledge, Skills, and Abilities:

  • Technical Proficiency: Strong software development skills in C++ and proficiency in at least one additional language (e.g., C, Python, MATLAB, C#, or Java).

  • Systems Knowledge: Familiarity with Linux operating systems and command-line environments.

  • Engineering Methodology: Understanding of the Software Development Life Cycle (SDLC) and experience working within Agile frameworks.

  • Emerging Tech: Interest in, or experience with, the application of LLMs and Agentic AI to automate or enhance software engineering tasks.

Location

Pittsburgh, PA

Job Function

Non-CMU Students

Position Type

Intern (Fixed Term)

Full time/Part time

Full time

Pay Basis

Hourly

More Information:

Always focused on the future, the Software Engineering Institute (SEI) advances software as a strategic advantage for national security. We lead research and direct transition of software engineering, cybersecurity, and artificial intelligence technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering.

Our people apply special knowledge and skills and are part of an elite research university. We perform research and apply our expertise every day to foresee problems and exploit opportunities in software engineering, AI engineering, and cybersecurity. Quality software that is secure will control the future. At CMU SEI, we are engineering that ever-greater software-fueled future.

Need Help?

For technical assistance, email [email protected] or call 412-268-5072.

We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [email protected] or by phone at 412-268-3930.

How this job compares

Set against the 517 open Research Intern jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This postingNot listed
  • US median$118–157K/yr71 salary ranges
  • US median$25–44/hr219 hourly ranges
Openings
Olive Jobs lists 517 open Research Intern jobs across the US. Under 1% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Education
233 of the 517 open Research Intern jobs (45%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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