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AI-Enabled Requirements Engineering Intern

Job in North Logan, Cache County, Utah, USA
Listing for: Space Dynamics Laboratory
Full Time, Apprenticeship/Internship position
Listed on 2026-10-24
Job specializations:
  • Engineering
Salary/Wage Range or Industry Benchmark: 18 - 28 USD Hourly USD 18.00 28.00 HOUR
Job Description & How to Apply Below

Job
Date Posted:
October 20, 2026

Space Dynamics Laboratory’s (SDL’s) internship program provides an exciting opportunity for undergraduate and graduate students to get involved with state‑of‑the‑art technologies in space-, airborne- and ground-based systems. With the support of engineers and mentors, interns are able to work on professional-level assignments that complement their academic studies. The program also includes training workshops, networking opportunities, and a variety of summer events and activities.

The Strategic Military Space Division is seeking an entry‑level engineering intern to support the Battle star program through using artificial intelligence to support development of a Requirements Verification Traceability Matrix (RVTM). Working alongside experienced engineers and mentors, the selected candidate will contribute to a cloud‑based enterprise ground system supporting dynamic space operations. This position will be located in North Logan, UT. Interns will be paid a competitive hourly wage and assigned work appropriate to their experience and project needs.

This position has the potential of continued employment or transition to student/full‑time employment requiring security clearance eligibility.

This internship is for the summer of 2027. The selected candidate will be expected to provide onsite support in North Logan, Utah, no later than Monday, June 7th, with availability for up to 12 weeks.

SDL internships are designed to bring talented students from across the nation together for unique, high‑quality professional opportunities while expanding our candidate pool. Utah State University (USU) students have access to a variety of year‑round opportunities with SDL through our Student Employment program. These positions provide USU students with valuable hands‑on experience and professional development opportunities that can help them build their skills and resumes.

USU students are not eligible for SDL internship positions and are encouraged to explore SDL's Student Employment opportunities.

Primary Responsibilities
  • Evaluates supervised uses of AI tools to extract and organize requirements from approved, non-sensitive example artifacts
  • Helps prototype a process for proposing requirement-to-verification links in an RVTM, with human review of all outputs
  • Compares AI-assisted results with manually prepared examples for accuracy, completeness, and traceability
  • Documents limitations, quality checks, data-handling considerations, and recommended validation steps
  • Presents a demonstration and findings to the systems engineering team
Requirements
  • Basic understanding of engineering requirements, data analysis, or software development
  • Experience with a programming or scripting language through coursework or projects
  • Ability to evaluate technical outputs critically and document repeatable results
  • Ability to work collaboratively with engineers and other interns and independently with appropriate guidance
  • Strong initiative, attention to detail, and written and verbal communication skills
  • Must be a U.S. citizen with the ability to obtain and maintain a U.S. Government security clearance
Education
  • Currently pursuing an undergraduate or graduate degree in systems, aerospace, mechanical, electrical, computer engineering, computer science, or a closely related field
  • Entry-level applicants are welcome; relevant coursework or academic projects may satisfy technical experience requirements
  • 3.0 GPA minimum is required
Desired Qualifications
  • Experience with Python, spreadsheets, structured data, or basic natural language processing
  • Exposure to requirements traceability, verification planning, or engineering data management
  • Familiarity with responsible AI practices, including human validation and…
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