Sandia National Laboratories Intern - Data Analysis Research R&D Graduate Year Round in Livermore, California


We are seeking an Intern - Data Analysis Research R&D Graduate Year Round to participate in research and development in the field of data analysis for physics, science, and engineering applications.

As a data analysis intern, you will help advance projects directed by exeperienced Sandia researchers. You will work as part of a technical team conducting innovative research, developing open-source software, and communicating research through written reports and oral presentations. Your research may involve any of a broad set of techniques, including Bayesian inference, reduced order modeling, compression, uncertainty quantification,validation and verification, feature extraction, linear/multilinear methods, nonlinear optimization, and machine learning. Results of our research are published in leading technical journals and conferences, and much of our software is freely available to the research community.


You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

  • Earned bachelor's degree
  • Currently attending and enrolled full time in an accredited graduate program in computer science, engineering, statistics, math or related area
  • Minimum cumulative GPA of 3.0/4.0
  • Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
  • U.S. citizenship
  • Ability to work in a collaborative research environment
  • Software development competence in C++, C, Java, Python, MATLAB, or a related language
  • Evidence of relevant expertise in the form of class work, technical publications, presentations, software, and/or knowledge of applications
  • Strong written- and oral-communication skills

Note: If you have not yet started your graduate program, please apply toan undergraduate intern position.


(1) Expertise in one or more of the following areas: applied mathematics, uncertainty quantification, reduced order modeling, feature identification techniques, machine learning, compression, linear/multilinear methods, nonlinear optimization, Bayesian inference;

(2) High-performance, distributed, or parallel computing experience;

(3) SQL, data parsing/preprocessing tools, data analysis tools;

(4) Contributions to open source software; and

(5) A background in solving practical problems in science and engineering that involve encounters with real-world data

Department Description:

Sandia's Extreme-scale DS & Analytics Department provides strong expertise in data science and analytics, supporting Sandia's physical sciences and engineering mission partners by enabling the extraction of critical insights from extreme-scale observations, simulations and experiments. Capabilities in 8759 combine recent advances in applied mathematics and computer science, with expertise in UQ, reduced order modeling, and feature identification techniques. These capabilities will complement and leverage existing research in other Sandia departments.

About Sandia:

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

  • Challenging work withamazingimpact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible schedules, generous vacations,strongmedical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at:

*These benefits vary by job classification.

Security Clearance:

This position does not currently require a Department of Energy (DOE) security clearance.

Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico must pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment.

If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a DOE security clearance, a pre-processing background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance must be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

EEO Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.