Computational Engineering Division Undergraduate Intern
- Intern
- Organization: Engineering
- Category: Students
- Employee Referral Bonus: Not applicable
- Job Code 1: 705.1 Under Grad Student
- Pre-Employment Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
- Pre-Placement Medical Exam: Not applicable
- Security Clearance: None, but work must be performed by a U.S. person (e.g., U.S. citizen or permanent resident and certain others). Also, assignments longer than 179 days require a federal background investigation.
- Position Type: Student Intern
Company Description
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.
Job Description
Computational Engineering Division (CED) offers continuing undergraduate students the opportunity to engage in practical research experience to further their educational goals. Opportunities include technical and/or research support to projects in the areas of Electrical Engineering, Mechanical Engineering, Computational Engineering, or other related fields.
This position requires full-time on-site presence due to the nature of the work.
In this role you will
- Provide technical and/or research support for projects involving material strength characterization, additively manufactured metals, computational modeling, and AI/ML-enabled surrogate modeling.
- Perform hands-on experimental work to determine material properties such as strength and stress-strain behavior using mechanical testing systems.
- Support integration of stress-strain and related material data into a software workflow.
- Assist in developing, training, and evaluating surrogate models using AI/ML methods for constitutive model emulation.
- Prepare summaries, figures, presentations, or technical briefings to communicate research findings.
- Attend relevant seminars.
- Perform other duties as assigned.
Qualifications
- 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 college or university student in good academic standing enrolled in an accredited institution pursuing an associates or bachelor’s degree, or has completed their associate's degree in engineering, physics, computer science or a related field.
- A sustained record of outstanding academic performance.
- Ability to work full time for six months from July 2026 - December 2026.
- Ability to apply basic engineering or scientific principles to solve technical problems.
- Communication skills necessary to communicate research project(s), document work and give a technical talk/presentation.
- Ability to present and communicate concepts and ideas.
- Effective interpersonal skills with the ability to work in a team environment.
- Familiarity with one or more of the following technical computing packages common in your discipline area, such as Matlab, R, or Python.
- Experience working with computers and familiarity with Microsoft Word, Excel and PowerPoint.
Pay Range
$23.26 - $31.62 Hourly
This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year.
Additional Information
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 https://www.llnl.gov/inclusion/our-values
Security Clearance
None required. However, this position involves U.S. Export Control; this work must be performed by a U.S. person (U.S. citizen, U.S. lawful permanent resident, U.S. national, or U.S. protected individual (e.g., refugee, asylee)).
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. (This process does not apply to foreign nationals.)
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. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
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Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
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