Computational Engineering Division Graduate Intern - Fall 2026

Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).

Demonstrated academic achievement in aerothermal modeling and chemical kinetics of vehicles in high speed flight.

Familiarity with one or more of the following technical computing packages common in your discipline area: Pointwise, Ansys, Cart3D, US3D, Tecplot, Paraview, FIAT, ATAC, CMA or similar.

All your information will be kept confidential according to EEO guidelines.

Why Lawrence Livermore National Laboratory?

Included in 2026 Best Places to Work by Glassdoor!

Holiday Pay

Sick leave accrual

Individual 401(k) contributions

Computational Engineering Division (CED) has an opening for a

Graduate Student Intern

The opening is for a graduate level student who has received a bachelor’s or master’s degree who will be given the opportunity to engage in practical research to further their educational goals.

Opportunities include technical and/or research support to projects in the areas of Computational Engineering, Electrical Engineering or Mechanical Engineering or other related fields.

Provide technical and/or research support to projects in the areas of computational engineering, or other related fields, working with engineers, scientists, and technical staff members.

Gather and analyze data or information in support of scientific research.

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.