Computing and Artificial Intelligence; CAI) Division UGS
Listed on 2026-10-07
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Software Development
Data Scientist, AI Engineer (Applied/Software), Computer Science, Machine Learning/ ML Engineer
Come join the brightest minds at the most innovative R&D facility supporting our national security! The Computing and Artificial Intelligence (CAI) Division is seeking undergraduate students (UGS) looking for a challenging internship. As a CAI UGS student, we will provide you with a mentor, a challenging project, and an opportunity to present your work and progress to colleagues. The projects will vary depending on your skills and interests and the Laboratory's current needs.
The CAI UGS program offers paid summer and year-round internships for undergraduate students in a variety of Computer Science, Mathematics, and Statistics projects.
- Computational Physics and Methods conduct research in numerical methods and algorithms, physical model development, and software engineering.
- Information Sciences engages in a wide variety of basic and applied research activities that are directly applicable to core needs.
- Statistics provides statistical reasoning and rigor to multidisciplinary scientific investigation and the development, application, and communication of cutting-edge statistical sciences research.
- Applied Computer Science is to be the vanguard for scientific simulations at extreme scale through the co-design of applications, algorithms, and architectures.
Minimum
Job Requirements:
- Currently enrolled in an accredited undergraduate degree program in any Computer Science or Mathematics (or related) discipline.
- Must be enrolled in at least 12 semester credit hours (or full-time equivalent).
- Must currently have and maintain a cumulative GPA of at least 3.0 on a 4.0 scale (or equivalent).
Education/
Experience:
Undergraduate
Currently enrolled (12 semester credit hours or full-time equivalent) in an accredited undergraduate degree-granting program (or international equivalent)
Must have and maintain a cumulative GPA of at least 2.75 on a 4.0 scale (or equivalent). Entering first-year students must provide documentation indicating matriculation into an accredited undergraduate degree program.
Desired
Qualifications:
- Computer programming (Python, C++, etc.) in support of scientific or engineering applications.
- Application of advanced mathematical methods to develop models of physical phenomena.
- Familiarity with cutting edge computational research in applications such as cybersecurity, artificial intelligence, machine learning, and quantum computing.
- Demonstrated ability to communicate (verbal and written) well in a professional scientific context; and Commitment to achieving results in a complex social and organizational setting.
Work Location:
The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
- A resume and current transcript, showing the above requirements, is required
- Applicants must submit a comprehensive cover letter (2 pages or less) that addresses the job requirements of the position, if applicable the desired skills, and education eligibility.
- Your letter or resume should provide contact information for 2-4 references who are familiar with your capabilities related to this job.
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security.
Our generous benefits package includes:
- PPO or High Deductible medical insurance with the same large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- Award-winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness…
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