Intern, R&D Undergraduate Year Round - Tribal Education Partnership Program, IINA - Remote
Silver City, Grant County, New Mexico, 88061, USA
Listed on 2026-03-11
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Engineering
Electrical Engineering
What Your Job Will Be Like:
The IINA team is seeking a Year Round Undergraduate R&D Intern to join our dynamic team. We are seeking motivated undergraduate students in STEM interested in pursuing their passion by working side‑by‑side with world experts interns take on challenges in DOE's leading engineering R&D laboratory. This initiative is sponsored and funded by the NNSA Minority Serving Institutions Partnership Program (MSIPP) for Sustainable STEM Workforce.
Our student interns are offered hands‑on, flexible, and cutting‑edge research opportunities while being mentored by Sandia National Laboratories scientists and engineers. These real‑world experiences are supplemented with technical seminars and facility tours which give our students unique insight into the broad range of engineering and scientific disciplines represented at Sandia.
On any given day, you may be called on to:- Develop and test advanced materials as part of component science, engineering and production and presenting the data and results of these tests to Sandia engineering teams.
- Collaborate with design engineering and assurance engineering teams in the collection and analysis of data through observation and experimentation.
- Support advanced system development through code refresh and full‑stack programming.
- Collect and analyze data using advanced characterization techniques including electrical testing.
- Collaborate on research papers, reports, and presentations.
At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here (https://(Use the "Apply for this Job" box below).).
QualificationsWe Require:
- Currently attending and enrolled full time in an accredited undergraduate program
- Pursuing a science, engineering, or math major
- Minimum cumulative GPA of 3.0/4.0
- Ability to work up to 25 hours per week during the academic year, and up to 40 hours per week during the summer
- U.S. citizens, legal permanent residents, asylees or refugees in the U.S.
Note:
If you have not earned a HS diploma or equivalent, please apply to a high school intern position.
- Currently attending and enrolled full time (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program at a Tribal College & University or a Native American Serving Non‑Tribal Institution (NASNTI)
- Pursuing an energy, cybersecurity, computer science, robotics, biological sciences, weapon engineering, additive manufacturing, or related major
- Interest in Electric Power Systems research.
- Experience with Microsoft Office, including Excel, Word, and Power Point
- Experience with laboratory and/or field procedures and protocols
- Ability to conduct independent research utilizing the web
- Strong organizational skills and attention to detail
- Excellent oral and written skills and ability to work in a team environment
This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.
About Our Team:The Electric Power Systems Research Department conducts R&D and advanced analytics to enable the modernization of the nation’s electric power grid. This work includes the development of improved planning and operations methodologies from the bulk system down to end users. Our capabilities encompass the development and application of advanced algorithmic and computational methods, grid operations, economics, and policy. Examples of specific core areas include power system dynamics, operational reliability, electricity market development, smart grid technologies and related information analysis, optimal resource expansion, and computationally based decision support.
This department is highly inter‑disciplinary, working collaboratively with universities,…
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