Enabling Edge Intelligence (E2I) Intern - Summer 2027

What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems.

Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.

Position Summary The SEI’s Enabling Edge Intelligence (E2I) team is a group of software engineers, researchers, and data scientists focused on developing tools and practices for integrating AI capabilities into software systems that operate in edge environments, with a focus on production-readiness and resource optimization.

A focus area within E2I is improving efficiency and effectiveness of approaches for testing key qualities of edge AI systems, such as security, safety, and resource efficiency.

The Enabling Edge Intelligence (E2I) Intern will contribute to a variety of activities within this focus area. Requirements: Enrolled in an undergraduate or graduate program software engineering, computer science, or related field.

US citizenship — You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship. Able to work an internship during the summer.

Able to work onsite at the SEI Pittsburgh office. Duties: Investigating new and effective approaches for testing of AI capabilities Creating new and effective ways of leveraging generative AI and agentic tools and technologies for testing of AI capabilities Integrating testing approaches into an existing ML Test and Evaluation (MLTE) process and toolset Contributing to sharing the results via peer reviewed articles, blog posts, and other relevant publications Knowledge, Skills and Abilities: (Bullets) Ability to critically think and problem solve Solid understanding of software engineering and software testing Proficiency in Python Proficiency with use of Generative AI and Agents for code development Ability to collaborate internally and externally with professional engineers and researchers Willingness to learn new technologies Desired Experience: (Limit to 3 or 4 bullets) Experience with development of agentic systems Experience with test and evaluation tools and processes Experience with clearly documenting and communicating findings Job Function Breakdown: Research and Development: 80% Documentation of Results: 20% TOTAL = 100% Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Location Pittsburgh, PA Job Function Non-CMU Students Position Type Intern (Fixed Term) Full time/Part time Full time Pay Basis Hourly More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.

Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance 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 hr-help@andrew.

cmu.edu 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 employeeaccess@andrew.

cmu.edu or by phone at 412-268-3930.