Computing & Artificial Intelligence; CAI Division Graduate Intern
Listed on 2026-06-24
-
IT/Tech
Data Scientist, Computer Science, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
What You Will Do
Come join the brightest minds at the most innovative R&D facility supporting national security! The Computing and Artificial Intelligence (CAI) Division seeks graduate students for a challenging internship. As a CAI graduate student, you will be mentored on a challenging project and presented to colleagues. The projects vary by your skills, interests, and the Laboratory’s current needs. The CAI GRA Program offers paid summer and year‑round internships in Computer Science, Mathematics, and Statistics projects.
Groups- Computational Physics and Methods – research in numerical methods, algorithms, physical model development, and software engineering.
- Information Sciences – basic and applied research directly applicable to core needs.
- Statistics – provide statistical reasoning and rigor to multidisciplinary scientific investigations and development of cutting‑edge statistical sciences research.
- Applied Computer Science – scientific simulations at extreme scale through co‑design of applications, algorithms, and architectures.
Job Requirements
- Must be currently enrolled in an accredited graduate degree program in any Computer Science, Mathematics, or related discipline.
- Must be enrolled in at least 6 semester‑credit hours (or full‑time equivalent).
- Must currently maintain a cumulative GPA of at least 3.0 on a 4.0 scale (or equivalent).
- Computer programming experience (Python, C++, etc.) in support of scientific or engineering applications.
- Experience applying 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.
- Strong verbal and written communication in a professional scientific context; commitment to achieving results in a complex social and organizational setting.
The position is onsite in Los Alamos, NM. All work locations are at the discretion of management.
Application Requirements- A resume and current transcript that demonstrate the above requirements.
- A comprehensive cover letter (2 pages or less) addressing the job requirements and desired skills, if applicable, and education eligibility.
- Contact information for 2–4 references familiar with your capabilities related to this job.
Due to federal restrictions, citizens of the People’s Republic of China (including Hong Kong and Macau), the Islamic Republic of Iran, the Democratic People’s Republic of Korea (North Korea), and the Russian Federation who are not lawful permanent residents are prohibited from accessing facilities that support national security missions.
Benefits- PPO or high deductible medical insurance with a large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- 6% 401(k) matching plus 3.5% annually
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness programs
- Extensive relocation packages for moves outside a 50‑mile radius
Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations.
The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please email applyhelp or call .
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).