Computing Undergraduate Student Intern: DevOps Internship Program - Summer 2027

LLNL•Livermore, CA

28d•Hybrid

About The Position

Lawrence Livermore National Laboratory (LLNL) is seeking undergraduate students for its Summer DevOps Internship Program. These positions offer practical research experience to further educational goals. Selected interns will support DevOps and platform engineering projects, including containerization, CI/CD automation, cloud-native application deployment, Kubernetes, Git version control, and software development. Interns may also contribute to projects involving large language model deployment and testing, web services, application containerization, infrastructure automation, and production software operations. Depending on the assignment, this position may offer a hybrid schedule, allowing for a blend of in-person and virtual work, with the flexibility to work from home one or more days per week.

Requirements

Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).
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.
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 computational science and/or mathematical principles to solve technical problems.
Demonstrated effective communication skills.
Ability to present and communicate concepts and ideas.
Experience working with personal computers and familiarity with Word, Excel and PowerPoint.
Ability to work in a team environment.
Age 18 or older at the start of the internship.
Must have GPA of 3.0 or higher.

Responsibilities

Learn and apply fundamentals of Git version control, containerization, CI/CD pipeline development, and Kubernetes-based application deployment.
Contribute to real-world DevOps 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.