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Computing Undergraduate Student Intern - Fall 2024

🚀 Off-cycle Internship


AI generated summary

  • You must be a college student studying Computer Science or related field with strong computational skills, communication abilities, teamwork experience, and a GPA of 3.0 or higher.
  • You will provide technical support for computational projects, gather and analyze data, participate in research discussions, attend seminars, and assist in various scientific tasks.

Off-cycle Internship

Software Engineering•Livermore


  • We have multiple openings for our Fall Undergraduate Internship Program taking place from September 1, 2024 to December 31, 2024. Our openings are for undergraduate level students who will be given the opportunity to engage in practical research to further their educational goals. The selected interns will provide technical and/or research support to projects in the areas of computational science, cyber defense, computer science, numerical methods, mathematics, or other related fields.


  • Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Mathematics, Machine Learning, Computer Vision, or other related fields.
  • Ability to apply basic computational science and/or mathematical principles to solve technical problems.
  • Demonstrated effective communication skills.
  • Ability to present and communicate concepts and ideas.
  • Experience working with personal computers and familiarity with Word, Excel and PowerPoint.
  • Ability to work in a team environment.
  • Must have GPA of 3.0 or higher.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields, working with scientists, engineers, and technical staff members.
  • Participate in research in assigned area under close supervision.
  • Gather and analyze data and information in support of scientific research.
  • Participate in research planning and evaluation discussion.
  • Attend relevant on-site seminars (at least one per week).
  • Perform other duties as assigned.


Work type

Full time

Work mode