Intern, R&D Undergraduate Year-Round - Counter-Autonomy & Intrusion Detection, Hybrid
Listed on 2026-07-29
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Research/Development
Robotics
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Intern, R&D Undergraduate Year-Round - Counter-Autonomy & Intrusion Detection, HybridWe are seeking R&D focused undergraduate student interns for a year-round position in our Counter-Autonomy and Intrusion Detection department. You will assist with a broad range of national security challenges associated with physical security of nuclear materials, critical infrastructure and national security sites. Daily activities will involve working with staff members and technologists on multiple projects typically centered around 3 main bodies of work: autonomy and unmanned systems, model/algorithm development and code generation, and RDT&E on physical intrusion (people, drones, vehicles) detection technologies.
The successful candidate must be willing to learn a variety of topics from multiple domains, such as physical security, drones/unmanned systems, computer science, computer engineering, sensors and sensor theory, machine learning, optical science, robotics/mechatronics, and signal processing. Interns will work in a collaborative, mentored research environment with opportunities to learn experimental methods, software development practices, and technical communication.
On any given day, specific project areas may include:
Assisting existing project teams to develop, integrate, test, and evaluate counter-autonomy technologies
Supporting software development for data processing, analysis, visualization, and algorithm evaluation
Assisting with the collection, organization, labeling, and analysis of experimental or simulated data
Developing and evaluating machine learning or signal-processing methods for detection, classification, tracking, or characterization tasks
Supporting hardware/software integration for sensors, embedded devices, data acquisition systems, or prototype platforms
Participating in laboratory, simulation, or field-test activities to evaluate emerging concepts and prototype capabilities
Developing tools to support experiment planning, performance assessment, and technical decision-making
Working with multidisciplinary teams across software engineering, electrical engineering, mechanical engineering, data science, and systems engineering
Documenting technical work and communicating results through presentations, reports, and team discussions
This position offers the opportunity to contribute to challenging national security problems while gaining experience in applied research, experimental systems, data analysis, machine learning, and integrated technology development.
The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Salary Range:
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).)
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Qualifications We Require:
You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
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
Ability to secure and maintain a U.S. security clearance which requires U.S. citizenship
Note:
If you have not earned a HS diploma or equivalent, please apply to a high school intern position.
Qualifications We Desire:
We do not expect candidates to have experience in all listed areas. Strong applicants may bring skills and show significant interest in some combination of software development, data analysis, machine learning, computer vision, sensing, experimentation, or hardware…
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