Intern, R&D Graduate Year-Round - Counter-Autonomy & Intrusion Detection, Hybrid

We are seeking R&D focused graduate student interns for a year‑round position in the Counter‑Autonomy and Intrusion Detection department. The internship focuses on national security challenges that involve the physical security of nuclear materials, critical infrastructure, and national security sites. Internship activities include working with staff and technologists across multiple projects centered on autonomous and unmanned systems, algorithm development, code generation, and novel physical intrusion detection methods.

Interns will learn experimental methods, software development practices, and technical communication in a collaborative, mentored research environment.

• Assist existing project teams to develop, integrate, test, and evaluate counter‑autonomy technologies.
• Support software development for data processing, analysis, visualization, and algorithm evaluation.
• Assist with the collection, organization, labeling, and analysis of experimental or simulated data.
• Develop and evaluate machine learning or signal‑processing methods for detection, classification, tracking, or characterization tasks.
• Support hardware/software integration for sensors, embedded devices, data acquisition systems, or prototype platforms.
• Participate in laboratory, simulation, or field‑test activities to evaluate emerging concepts and prototype capabilities.
• Develop tools to support experiment planning, performance assessment, and technical decision‑making.
• Work with multidisciplinary teams across software engineering, electrical engineering, mechanical engineering, data science, and systems engineering.
• Document technical work and communicate results through presentations, reports, and team discussions.

• Earned bachelor’s degree.
• Currently attending and enrolled full time in an accredited science, engineering, or math graduate program.
• 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.
• Ability to secure and maintain a U.S. security clearance which requires U.S. citizenship.

• Experience with Python for scientific computing, automation, data processing, or algorithm development.
• Familiarity with Python libraries such as Num Py, Sci Py, pandas, matplotlib, scikit‑learn, OpenCV, or similar tools.
• Familiarity with PyTorch, Tensor Flow, or related machine learning frameworks.
• Experience or coursework in machine learning, deep learning, computer vision, signal processing, or data analytics.
• Experience collecting, processing, labeling, visualizing, or analyzing experimental data.
• Experience with hardware/software integration, embedded systems, sensors, or data acquisition systems.
• Interest in autonomy, robotics, unmanned systems, counter‑autonomy, or related national security applications.
• Experience with software development in Linux environments.
• Familiarity with Git or other collaborative software development tools.
• Experience with sensor fusion, tracking, detection, classification, or anomaly identification.
• Interest in real‑time or near‑real‑time data processing systems.
• Familiarity with GPU computing, CUDA, edge computing, or accelerated computing.
• Experience with modeling, simulation, or performance evaluation of algorithms or systems.
• Ability to communicate technical results through presentations, reports, documentation, and team discussions.
• Strong initiative, curiosity, and willingness to learn new technical areas.

Interns earn competitive pay rates based on earned credit hours, classification, and degree level. The exact pay rate will be determined during the hiring process and included in the offer package.

Applicants must be able to obtain and maintain a DOE L‑level security clearance, which requires U.S. citizenship. The position requires a federal background investigation and compliance with DOE security requirements.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.