Computational Engineering Division Graduate Intern - Summer 2027

Computational Engineering Division (CED) has multiple openings for Graduate Student Interns . Our openings are for graduate level students and students who have 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. 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. You will 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. Conduct research in assigned area under limited direction and supervision. Perform technical assignments of basic degree of complexity and providing technical support to scientists in scientific research and development projects. Present work through presentations and/or poster sessions. Perform other duties as assigned. Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details. Must be a continuing college student in good standing at an accredited institution pursuing a graduate degree or has completed their bachelor’s or master’s degree. Demonstrated academic achievement in Engineering Computer Science or a related field. Ability to apply computational science and/or mathematical principles to solve technical problems. Demonstrated effective communication skills. Ability to present and communicate concepts and ideas. Ability to work in a team environment. Familiarity with one or more of the following technical computing packages common in your discipline area: Matlab, TensorFlow, R, Python, OpenCV, or finite element simulation tools Experience working with computers and familiarity with Microsoft Word, Excel and PowerPoint. Qualifications We Desire GPA of 3.5 or above. Pay $10,215 Monthly Please note that the pay is determined by California’s Computer Professional Exemption. 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 Our values - visit Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. 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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.