Defense Science and Technology Internship Graduate Student - Summer 2026
LLNL
About this role
This research internship at Lawrence Livermore National Laboratory offers opportunities for graduate and advanced students in physics, engineering, mathematics, and computer science to engage in innovative scientific research, develop high-performance software, and present their findings. The position involves combining theory with computation in areas such as nuclear physics, astrophysics, and plasma dynamics, contributing to national scientific endeavors.
Skills
About LLNL
llnl.govLawrence Livermore National Laboratory (LLNL) is a U.S. Department of Energy national laboratory in Livermore, California, that applies advanced science, engineering, and technology to solve complex national security and societal challenges. Its work spans nuclear deterrence and stockpile stewardship, nonproliferation and homeland security, high-performance computing and AI, fusion energy (including the National Ignition Facility), and research in materials, biosciences, and climate. LLNL partners with government agencies, industry, and academia to translate research into practical solutions, drive technology commercialization, and develop the next generation of scientists and engineers.
About LLNL
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for LLNL.
Salary
$81k – $98k
per year
More jobs at LLNL
Similar Jobs
Assistant/Associate/Full Professor in Nuclear Engineering & Engineering Physics (Plasma Theory and Computation)
University of Wisconsin–Madison
Staff Scientist – Low-Energy Nuclear Physics
UChicago Argonne
Post-doctoral Research Associate in Nuclear Physics – Quantum Information Science
Brookhaven National Laboratory
Postdoctoral Appointee - Nuclear Theory
UChicago Argonne
Postdoctoral Appointee - Scientific Machine Learning for Surrogate Modeling and Power Grid Dynamics
UChicago Argonne
Working Student Data Science Approaches in MEMS Development (f/m/div.)
Bosch Group