Cyber AI Engineering Intern (Spring 2027)

Carnegie Mellon SEI is hiring a Cyber AI Engineering Intern (Spring 2027) in Pittsburgh, PA. When: Spring 2027. Posted November 13, 2026. Eligibility: US work authorization, no sponsorship. Checked against the employer's posting on November 15, 2026.

What We Do Cyber AI Engineers at the SEI use data science, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges.

In this role, you will work with our team to identify areas where AI techniques can help tackle problems, plan and develop prototype solutions, and build out final products.

You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cyber security strategy for decades to come.

You will participate in research proposals, execute studies, build models, and present findings to DoD sponsors and other venues. Position Summary You will work as a part of the CERT Data Science Team and will collaborate with a team of AI researchers, software engineers, and cybersecurity experts focused on building AI solutions to enhance cybersecurity capabilities.

As a Cyber AI Engineering Intern, you won't just be monitoring alerts—you'll be building the intelligence that powers them. You will use AI technologies, Python, ML frameworks, and security automation to develop smarter tools that detect and neutralize threats at scale.

You will work at the intersection of software engineering, data science, and cybersecurity to develop AI that provides a strategic advantage in cybersecurity activites.

Requirements •  Enrolled in an undergraduate degree granting program pursuing a degree in Computer Science, Cybersecurity, Data Science, or a related technical field.

•  Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community. •  You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship.

Knowledge, Skills and Abilities •  Coding Proficiency: Strong command of Python (essential for both AI and Security) and familiarity with other languages like C++, Go, or Bash.

•  Foundational AI/ML Knowledge: Understanding of how AI models are trained and operated. •  Security Mindset: Familiarity with core security concepts (encryption, identity management, network security, threat modeling, etc.

). •  Thrives in a multi-disciplinary environment •  Strong communication skills Location Pittsburgh, PA Job Function Non-CMU Students Position Type Intern (Fixed Term) Full time/Part time Part 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.