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 Software Architecture team is a group of software architects, software developers, and data scientists focused on creating tools and practices to help organizations more quickly and confidently evolve and modernize existing software.  One of the current research focus areas is on the role of Generative AI in new software engineering workflows that help teams translate code from older programming languages to modern programming languages.

The AI for Software Engineering Intern will contribute to a variety of activities including

• Assessing the strengths and weaknesses of Generative AI for code translation

• Creating new prompting strategies to improve translation results

• Creating new static analyses to detect translation errors

• Creating a software engineering workflow that combines Generative AI, static analyses, and human-centered practices

• Applying the workflow in experiments to measure effectiveness and identify opportunities for improvement

• Contributing to sharing the results via peer reviewed articles, blog posts, and other relevant publications

Requirements:

• Enrolled in a degree granting program relevant to software engineering.

• 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.

• Able to work an internship during the summer.

• Able to work onsite at the SEI Pittsburgh office.

Knowledge, Skills and Abilities:

• Ability to critically think and problem solve

• Solid understanding of Generative AI

• Proficiency with an object-oriented programming language

• Proficiency with software testing

• Ability to collaborate internally and externally with professional engineers and researchers

• Willingness to learn new technologies

Desired Experience:

• Experience with prompting strategies for Generative AI

• Experience with C++

• Experience with code analysis

• Experience with clearly documenting and communicating findings

Location

Job Function

Position Type

Full time/Part time

Pay Basis

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