Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Computational Engineering Division Undergraduate Student Intern - Summer 2025 image - Rise Careers
Job details

Computational Engineering Division Undergraduate Student Intern - Summer 2025

Company Description

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are looking for individuals that demonstrate an understanding of working in partnership with team peers, who engage, advocate, and contribute to building an inclusive culture, and provide expertise to solve challenging problems.

Pay Range

$22.10 - $30.00 Hourly

This position is under a step structure.  Please note that the step placement is determined by your most recent completed academic year.

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.

In this role you will 

  • Provide technical and/or research support to projects in the areas of Electrical Engineering, Mechanical Engineering, Computational Engineering, or other related fields, working with engineers, scientists, and technical staff members.
  • Participate in research in assigned area under close supervision.
  • Gather and analyze data or information in support of scientific research.
  • Utilize standard software packages common in your discipline to Complete common tasks.
  • Attend relevant seminars.
  • Perform other duties as assigned.

Qualifications

  • 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 ten to twelve weeks during the summer months.
  • 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: Matlab, TensorFlow, R, Python, OpenCV, or finite element simulation tools.
  • Experience working with computers and familiarity with Microsoft Word, Excel and PowerPoint.

Additional Information

Why Lawrence Livermore National Laboratory?

Security Clearance

This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the particular assignment.  

If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  L and Q-level clearances require U.S. citizenship.  

If no security clearance is required, but 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.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

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.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Average salary estimate

$54164 / YEARLY (est.)
min
max
$45928K
$62400K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Computational Engineering Division Undergraduate Student Intern - Summer 2025, LLNL

Are you a college or university student looking for a thrilling opportunity as a Computational Engineering Division Undergraduate Student Intern at Lawrence Livermore National Laboratory (LLNL) this summer? If you are eager to dive into the world of engineering and make a difference while you learn, this is the perfect chance for you! At LLNL, we pride ourselves on being a hub of innovation, where bright minds come together to work on projects that enhance the security of the United States and contribute to solving global challenges. As part of our Computational Engineering Division, you'll engage in exciting research and provide vital technical support across various fields such as Electrical Engineering, Mechanical Engineering, and Computational Engineering. You'll collaborate directly with experienced engineers, scientists, and tech-savvy staff, giving you invaluable hands-on experience. Your responsibilities will involve conducting research, analyzing data, utilizing essential software tools like MATLAB and Python, and presenting your findings. We are committed to creating an inclusive environment, and we hope you will bring your unique perspective to our team. If you’re passionate about engineering, possess strong communication skills, and have a track record of academic excellence, we want to hear from you! Join us for ten to twelve weeks this summer, and secure yourself a rewarding internship where you can turn your classroom knowledge into real-world experience!

Frequently Asked Questions (FAQs) for Computational Engineering Division Undergraduate Student Intern - Summer 2025 Role at LLNL
What are the responsibilities of a Computational Engineering Division Undergraduate Student Intern at Lawrence Livermore National Laboratory?

As a Computational Engineering Division Undergraduate Student Intern at Lawrence Livermore National Laboratory, you will be involved in providing technical and research support to ongoing projects in areas such as Electrical, Mechanical, and Computational Engineering. Your tasks will include gathering and analyzing data for scientific research, utilizing standard software packages like MATLAB and Python, and actively participating in relevant seminars and presentations. You’ll work closely with engineers and scientists, offering you a rich learning environment.

Join Rise to see the full answer
What qualifications do I need to become a Computational Engineering Division Undergraduate Student Intern at LLNL?

To qualify for the Computational Engineering Division Undergraduate Student Intern position at LLNL, you must be a college student in good academic standing, pursuing an associate’s or bachelor’s degree in engineering, physics, computer science, or a related field. A strong academic record and familiarity with technical computing packages such as MATLAB, TensorFlow, or Python are essential. Additionally, effective communication and teamwork skills are crucial for this role.

Join Rise to see the full answer
Is prior experience required for the Computational Engineering Division Undergraduate Student Internship at LLNL?

Prior experience is not formally required for the Computational Engineering Division Undergraduate Student Internship at Lawrence Livermore National Laboratory. However, candidates should display familiarity with computing packages specific to their discipline, and any hands-on experience in a research or engineering environment will enhance your application. LLNL values enthusiastic learners who are eager to apply their knowledge and skills.

Join Rise to see the full answer
How long is the Computational Engineering Division Undergraduate Student Internship at LLNL?

The Computational Engineering Division Undergraduate Student Internship at Lawrence Livermore National Laboratory typically lasts for ten to twelve weeks during the summer months. This timeframe allows you to immerse yourself in challenging projects while gaining practical experience and mentorship from experts in the field.

Join Rise to see the full answer
What is the pay range for the Computational Engineering Division Undergraduate Student Intern position at LLNL?

The pay for the Computational Engineering Division Undergraduate Student Intern role at Lawrence Livermore National Laboratory ranges from $22.10 to $30.00 per hour. The specific step placement within this range is determined based on your most recent completed academic year, ensuring fair compensation as you gain invaluable experience.

Join Rise to see the full answer
Common Interview Questions for Computational Engineering Division Undergraduate Student Intern - Summer 2025
Can you describe your experience with technical computing packages relevant to the Computational Engineering Division?

When answering this question, detail any projects or coursework where you've used technical computing packages such as MATLAB or Python. Highlight your ability to utilize these tools to solve problems or analyze data. Make sure to convey your enthusiasm for learning new software in your engineering journey.

Join Rise to see the full answer
How do you approach working in a team environment, especially in technical projects?

In your response, emphasize your collaboration skills and how you believe diverse ideas lead to innovative solutions. Share specific examples of projects where you contributed to ensuring the success of the team while highlighting your communication skills and adaptability.

Join Rise to see the full answer
What motivates you to apply for the Computational Engineering Division Internship at LLNL?

Talk about your passion for engineering and research, and how LLNL’s commitment to national security and global challenges resonates with your values. Sharing a personal story about a project or area of study that sparked your interest in this field can make your answer more compelling.

Join Rise to see the full answer
How do you prioritize your work when managing multiple tasks for a project?

Discuss your organizational skills and how you utilize tools or methods to prioritize tasks effectively. Provide examples of how you have managed multiple responsibilities in school or previous internships, demonstrating both your time management abilities and flexibility in adapting to changes.

Join Rise to see the full answer
Can you give an example of a technical problem you solved during your studies?

When responding, share a specific instance where you identified a technical challenge, detail the steps you took to analyze it, and explain the solution you implemented. This showcases your problem-solving skills and ability to apply engineering principles practically.

Join Rise to see the full answer
What role do you believe communication plays in the success of engineering projects?

Here, stress the importance of clear and effective communication in ensuring all team members are aligned and informed. Provide examples of times when your communication skills facilitated collaboration or helped clarify complex concepts within a project.

Join Rise to see the full answer
What strategies do you use to stay updated on advancements in engineering or science?

Discuss your dedication to continuous learning, such as following relevant journals, attending seminars, or engaging with online communities. Relating a specific recent trend in computational engineering that excites you can further showcase your passion for the field.

Join Rise to see the full answer
How do you handle feedback on your technical work?

Explain your perspective on constructive criticism as an opportunity for growth. Share an example of how feedback has positively impacted your work or helped you refine your skills, underlining your commitment to continuous improvement.

Join Rise to see the full answer
What do you hope to learn during your internship at LLNL?

Share your goals related to gaining practical experience, developing technical skills, and learning from experts in a collaborative environment. Express excitement about the specific areas at LLNL that you find intriguing and how you aim to contribute while learning.

Join Rise to see the full answer
Where do you see yourself in the future with your engineering background?

When answering, discuss your aspirations regarding further education or specific industries within engineering. Articulate a vision for how your interests align with LLNL’s mission and how the internship will help you achieve your career goals.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
RecargaPay Remote No location specified
Posted 2 hours ago
Photo of the Rise User
Posted 11 days ago
Photo of the Rise User
Posted 12 days ago
Mission Driven
Social Impact Driven
Passion for Exploration
Reward & Recognition
Posted 9 days ago
Posted 6 days ago
Photo of the Rise User
Posted yesterday

Established in 1952 and headquartered in Livermore, California, The Lawrence Livermore National Laboratory (LLNL) is a scientific research laboratory founded by the University of California. The laboratory is primarily funded by the United States ...

18 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Internship, on-site
DATE POSTED
December 11, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!