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Computing Undergraduate Student Intern: DevOps Internship Program - Summer

Remote / Online - Candidates ideally in
Livermore, Alameda County, California, 94551, USA
Listing for: LLNL
Seasonal/Temporary, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-14
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 23 - 33 USD Hourly USD 23.00 33.00 HOUR
Job Description & How to Apply Below

Computing Undergraduate Student Intern:
Dev Ops Internship Program - Summer 2027

  • Intern
  • Organization:
    Computing
  • Category:
    Students
  • Job Code 2: 714.0 Intern Nonexempt
  • 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
  • Position Type:
    Student Intern
  • Security Clearance:
    None/Position does not require US citizenship (assignments longer than 179 days require a federal background investigation)

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.

Positions will close to applicants on January 15, 2027. Computing mentors will have until February 5, 2027 to make their Summer selections.

Internship Dates:

  • May 17, 2027 - August 6, 2027
  • May 24, 2027 - August 13, 2027

We have multiple openings for our Summer Dev Ops Internship Program
.These positions are for undergraduate students who will be given the opportunity to engage in practical research to further their educational goals. Selected interns will play a key role in supporting Dev Ops and platform engineering projects involving containerization, CI/CD automation, cloud-native application deployment, Kubernetes, Git version control, and software development. Interns may contribute to projects involving large language model deployment and testing, web services, application containerization, infrastructure automation, and production software operations.

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

  • Learn and apply fundamentals of Git version control, containerization, CI/CD pipeline development, and Kubernetes-based application deployment.
  • Contribute to real-world Dev Ops and platform engineering projects, including web services, infrastructure automation, and production software operations.
  • Assist with deploying and testing large language models and persistent data services.
  • Develop or enhance automation tools, deployment workflows, monitoring practices, and operational documentation.
  • Participate in code reviews, testing, documentation, and other software development lifecycle activities.
  • Participate in research planning and evaluation discussions.
  • Attend relevant seminars (at least one per week).
  • 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 or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Mathematics, Data Science, Machine Learning, Cybersecurity, or other related STEM fields. If you are starting a graduate degree program in Fall 2027, you must apply for the Computing Scholar Graduate position (Posting code:REF
    8773S).
  • Proven ability to adapt and thrive in challenging situations, demonstrating resilience and problem-solving skills to achieve goals while overcoming setbacks.
  • Ability to apply basic…
Position Requirements
Less than 1 Year work experience
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