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Job Description
Computing Graduate Student Intern – Fall 2026 | Lawrence Livermore National Laboratory
The Tone:
This is an internship at Lawrence Livermore National Laboratory, located in Livermore, CA, offering a hybrid work schedule. LLNL advances science and technology to strengthen U.S. security and promote global stability, addressing critical national security areas such as nuclear deterrence, threat preparedness, energy security, and multi-domain defense. This role is crucial for graduate students to gain hands-on research experience and support projects that contribute to significant national security challenges.
The TL;DR
• Role: Internship
• Type: Temporary
• Location: Hybrid, Livermore, CA
• Pay: $10215 monthly
• Mission: Provide technical and/or research support to projects in computational science, cyber defense, computer science, numerical methods, mathematics, and other related STEM disciplines.
• Tech Stack: Computers, Microsoft Word, Excel, PowerPoint
What You’ll Actually Do
• Support: Provide technical and research support to computational science, cyber defense, and other STEM projects, collaborating with scientists and engineers.
• Maintain: Support the documentation, testing, creation, or modification of Laboratory software, hardware, or operating systems.
• Research: Conduct assigned research in a specific area, operating under limited direction and supervision.
• Execute: Perform technical assignments of basic to moderate complexity, providing support to scientists on scientific research and development projects.
• Communicate: Present work through presentations or poster sessions, and actively attend relevant seminars at least once per week.
The Must-Haves
• Background: Must be a continuing college student in good standing at an accredited institution, pursuing a graduate degree by Winter/Spring 2027 in Computer Science, Mathematics, Data Science, Machine Learning, Cybersecurity, or other related STEM fields, with a bachelor’s degree earned and a GPA of 3.0 or higher. Applicants must be age 18 or older at the start of the internship and eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).
• Experience: Applying advanced computational science and/or mathematical principles to solve technical problems, and familiarity with computers and Microsoft Word, Excel, and PowerPoint.
• Skills: Proven ability to adapt and thrive in challenging situations, demonstrating resilience and problem-solving skills; effective communication skills, including the ability to present and communicate concepts and ideas; and the ability to work effectively in a team environment.