NSIP Undergraduate Intern – Artificial Intelligence & Data Analytics - SWE Conference

Pacific Northwest National Laboratory•Richland, WA

2d•Onsite

About The Position

Pacific Northwest National Laboratory (PNNL) is seeking degree-seeking undergraduate students for assignments in its National Security Internship Program (NSIP), within the AI and Data Analytics (AIDA) Division of the National Security Directorate. AIDA applies advanced hardware, software, computational, statistical, and mathematical techniques to complex data and analytic challenges. Interns may work with multidisciplinary teams on challenges in national security, energy, and science, developing computer code, participating in cyber competitions, designing visualizations, working with big data, and optimizing solutions across diverse domains. The internship offers work in one of six technical groups: Math, Stats, and Data Science; Applied AI Systems; Foundational Data Science; Software Engineering & Architectures; Human Centered Computing; or Operational Readiness & Enablement. Work may involve mathematical modeling, computational statistics, machine learning, data science, software engineering, cloud computing, data pipelines, visualization, human-computer interaction, testing, or related areas. Participants must be available for the full 10-week program and begin in one of two cohorts: May 25 through July 30, or June 22 through August 27. The position is based in Richland, Washington, or Seattle, Washington. Onsite presence is required Monday through Thursday, with Friday onsite as required by business needs. U.S. citizenship is required because the position involves access to sensitive systems and information. Applicants must upload a resume or CV in the Resume section and a separately titled cover letter, “AIDA - Summer 2026 NSIP Cover Letter,” in the Additional Documents section. The cover letter should state interest, reference relevant college courses, and describe relevant experience, including extracurricular activities that have prepared the applicant for the career. Applications missing either required document or not submitted according to the instructions will be rejected.

Requirements

High school diploma or GED or higher.
Be a degree-seeking undergraduate student enrolled at an accredited college or university.
Take at least 6 credit hours.
Have an overall cumulative GPA of 3.3.
Be available to start in one of the cohort sessions and complete the full 10-week program.
U.S. citizenship is required.
Submit a resume or CV in the Resume section and a separate cover letter in the Additional Documents section according to the application instructions.

Nice To Haves

Academic disciplines of interest include Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Super Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science with a computational focus, Systems Engineering, Project Management, and Management Information Systems.

Responsibilities

Apply computational, statistical, and mathematical techniques to problems in national security, energy, and science.
Develop complex computer code.
Develop and participate in cyber competitions.
Design visualizations.
Work with big data and optimize solutions across diverse domains.
Contribute to work in one of six technical groups: Math, Stats, and Data Science; Applied AI Systems; Foundational Data Science; Software Engineering & Architectures; Human Centered Computing; or Operational Readiness & Enablement.