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Enabling Mission Capability at Scale Intern, Summer 2027

Carnegie Mellon University · Pittsburgh, PA · Software Engineering Institute (SEI), Summer 2027 Internship Program

Employment type

Full-time

Work setting

On-site

Location

Pittsburgh, PA

Schedule

Day shift

Posted

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Job overview

The Enabling Mission Capability at Scale Intern, Summer 2027 role is onsite in Pittsburgh, PA, and compensation is not specified. The Software Engineering Institute advances software engineering and supports national security through research and engineering for government clients. The intern contributes to mission-focused software and security work by prototyping tools, analyzing code for vulnerabilities, and researching methods to improve software resilience. Depending on the project, the intern may also have the opportunity to co-author research findings.

What you'll do

  • Design and implement software prototypes addressing security and engineering challenges
  • analyze codebases for weaknesses, vulnerabilities, and attack vectors
  • research and implement methods to improve software robustness and system resilience
  • develop tools, techniques, and automated processes for complex software problems
  • may co-author research findings depending on project scope.

What we're looking for

Skills & competencies
software engineering intern
summer 2027
software prototyping
vulnerability research
resilience engineering
cybersecurity
agentic ai
large language models
c++
linux
pittsburgh pa
carnegie mellon university
onsite
Work arrangement
  • Weekend coverage required

Benefits & perks

  • Benefits-eligible employees may receive medical, prescription, dental, and vision insurance
  • retirement savings with employer contributions
  • tuition benefits
  • paid time off and holidays
  • life and accidental death and disability insurance
  • transit pass
  • family concierge
  • fitness center access.

Why this role

Summer 2027 internship integrated with SEI researchers and engineers on mission-critical challenges; candidates should understand how Agentic AI and large language models can augment engineering workflows.

About the employer

Carnegie Mellon University is hiring for this role. Industry: Colleges, Universities, and Professional Schools. Sector: 61.

Additional details

Industry sector
61
Industry
Colleges, Universities, and Professional Schools
Occupation code
15-1252.00
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