Computing & Artificial Intelligence (CAI) Division Graduate Intern

Los Alamos National Security LLC; Los Alamos (NM); On-site; USD 17,000 - 21,000; Full time

Benefits offered by this job

PPO or High Deductible medical insurance

Dental and vision insurance

Free basic life and disability insurance

Paid childbirth and parental leave

401(k) matching program

Learning opportunities and tuition assistance

Flexible schedules and time off

Onsite gyms and wellness programs

Extensive relocation packages

Job summary

A leading national laboratory in Los Alamos, NM, is seeking graduate students for paid summer and year-round internships in Computer Science, Mathematics, and Statistics. Candidates will work on challenging projects under mentorship, gaining valuable technical experience and professional development opportunities. A minimum GPA of 3.0 is required, along with suitable programming skills and communication abilities. Great benefits include flexible schedules and tuition assistance.

Qualifications

• Must be enrolled in at least 6 semester credit hours.
• Must maintain a cumulative GPA of at least 3.0 on a 4.0 scale.
• Strong programming in Python and C++ for scientific applications.

Responsibilities

• Work on a challenging project with mentoring.
• Present work and progress to colleagues.
• Engage in multidisciplinary research activities.

Skills

Computer programming (Python, C++)

Application of advanced mathematical methods

Familiarity with computational research

Strong verbal and written communication

Education

Currently enrolled in an accredited graduate degree program

6+ credit hours

Job description

What You Will Do

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 graduate students looking for a challenging internship. As a CAI graduate 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 Graduate Student (GRA) Program offers paid summer and year‑round internships for graduate students in a variety of Computer Science, Mathematics, and Statistics projects. The GRA program provides mentoring, hands‑on technical experience, and professional development opportunities through a normalized work plan complementing the student's chosen area of study. You will work closely with one of four groups within the CAI Division.

• 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.

What You Need

Minimum Job Requirements

• Currently enrolled in an accredited graduate degree program in any Computer Science or Mathematics (or related) discipline.
• Must be enrolled in at least 6 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).

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.

Note to Applicants

• 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.

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China – including the special administrative regions of Hong Kong and Macau – and citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Where You Will Work

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.

• 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 programs
• Extensive relocation packages (outside a 50 mile radius)

Additional Details

Directive 206.2 – Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre‑employment background checks.

New‑Employment Drug Test: The Laboratory requires successful applicants to complete a new‑employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre‑offer.

Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy P701 for applicant eligibility requirements.

Equal Opportunity: 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 send an email to [e-mail] or call (505)-664-6947.