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

Summary

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 our Counter‑Autonomy and Intrusion Detection department. You will assist with a broad range of national security challenges associated with the 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 three main bodies of work: autonomy and unmanned systems, algorithm development and code generation, and R&D for novel physical intrusion (people, drones, vehicles) detection methods. The successful candidate must be willing to learn a variety of topics from multiple domains, such as physical security, 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 technologiesSupporting software development for data processing, analysis, visualization, and algorithm evaluationAssisting with the collection, organization, labeling, and analysis of experimental or simulated dataDeveloping and evaluating machine learning or signal‑processing methods for detection, classification, tracking, or characterization tasksSupporting hardware/software integration for sensors, embedded devices, data acquisition systems, or prototype platformsParticipating in laboratory, simulation, or field‑test activities to evaluate emerging concepts and prototype capabilitiesDeveloping tools to support experiment planning, performance assessment, and technical decision‑makingWorking with multidisciplinary teams across software engineering, electrical engineering, mechanical engineering, data science, and systems engineeringDocumenting technical work and communicating results through presentations, reports, and team discussionsThis 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 ( We Require Earned bachelor's degreeCurrently attending and enrolled full time in an accredited science, engineering, or math graduate programMinimum cumulative GPA of 3.0/4.0Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summerAbility to secure and maintain a U.S. security clearance which requires U.S. citizenshipQualifications We Desire Experience with Python for scientific computing, automation, data processing, or algorithm developmentFamiliarity with Python libraries such as NumPy, SciPy, pandas, matplotlib, scikit‑learn, OpenCV, or similar toolsFamiliarity with PyTorch, TensorFlow, or related machine learning frameworksExperience or coursework in machine learning, deep learning, computer vision, signal processing, or data analyticsExperience collecting, processing, labeling, visualizing, or analyzing experimental dataExperience with hardware/software integration, embedded systems, sensors, or data acquisition systemsInterest in autonomy, robotics, unmanned systems, counter‑autonomy, or related national security applicationsExperience with software development in Linux environmentsFamiliarity with Git or other collaborative software development toolsExperience with sensor fusion, tracking, detection, classification, or anomaly identificationInterest in real‑time or near‑real‑time data processing systemsFamiliarity with GPU computing, CUDA, edge computing, or accelerated computingExperience with modeling, simulation, or performance evaluation of algorithms or systemsAbility to communicate technical results through presentations, reports, documentation, and team discussionsStrong initiative, curiosity, and willingness to learn new technical areasAbout Our Team The Counter‑Autonomy & Intrusion Detection department is seeking outstanding graduate students in electrical engineering, computer engineering, computer science, or related fields to join a fast‑paced research team developing and evaluating new counter‑autonomy concepts. Interns will contribute to research and development efforts aimed at improving the performance and effectiveness of counter‑autonomy systems. Successful candidates will work in a collaborative, learning‑focused environment and support the design and execution of experiments to evaluate novel technologies. Areas of emphasis include imaging, sensor fusion, data collection, machine learning, and hardware prototyping.Security Clearance Sandia is required by DOE to conduct a pre‑employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE L‑level security clearance, which requires U.S. citizenship. 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. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.EEO 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.#J-18808-Ljbffr

Job Description

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 our Counter‑Autonomy and Intrusion Detection department. You will assist with a broad range of national security challenges associated with the 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 three main bodies of work: autonomy and unmanned systems, algorithm development and code generation, and R&D for novel physical intrusion (people, drones, vehicles) detection methods. The successful candidate must be willing to learn a variety of topics from multiple domains, such as physical security, 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 technologiesSupporting software development for data processing, analysis, visualization, and algorithm evaluationAssisting with the collection, organization, labeling, and analysis of experimental or simulated dataDeveloping and evaluating machine learning or signal‑processing methods for detection, classification, tracking, or characterization tasksSupporting hardware/software integration for sensors, embedded devices, data acquisition systems, or prototype platformsParticipating in laboratory, simulation, or field‑test activities to evaluate emerging concepts and prototype capabilitiesDeveloping tools to support experiment planning, performance assessment, and technical decision‑makingWorking with multidisciplinary teams across software engineering, electrical engineering, mechanical engineering, data science, and systems engineeringDocumenting technical work and communicating results through presentations, reports, and team discussionsThis 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 ( We Require Earned bachelor's degreeCurrently attending and enrolled full time in an accredited science, engineering, or math graduate programMinimum cumulative GPA of 3.0/4.0Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summerAbility to secure and maintain a U.S. security clearance which requires U.S. citizenshipQualifications We Desire Experience with Python for scientific computing, automation, data processing, or algorithm developmentFamiliarity with Python libraries such as NumPy, SciPy, pandas, matplotlib, scikit‑learn, OpenCV, or similar toolsFamiliarity with PyTorch, TensorFlow, or related machine learning frameworksExperience or coursework in machine learning, deep learning, computer vision, signal processing, or data analyticsExperience collecting, processing, labeling, visualizing, or analyzing experimental dataExperience with hardware/software integration, embedded systems, sensors, or data acquisition systemsInterest in autonomy, robotics, unmanned systems, counter‑autonomy, or related national security applicationsExperience with software development in Linux environmentsFamiliarity with Git or other collaborative software development toolsExperience with sensor fusion, tracking, detection, classification, or anomaly identificationInterest in real‑time or near‑real‑time data processing systemsFamiliarity with GPU computing, CUDA, edge computing, or accelerated computingExperience with modeling, simulation, or performance evaluation of algorithms or systemsAbility to communicate technical results through presentations, reports, documentation, and team discussionsStrong initiative, curiosity, and willingness to learn new technical areasAbout Our Team The Counter‑Autonomy & Intrusion Detection department is seeking outstanding graduate students in electrical engineering, computer engineering, computer science, or related fields to join a fast‑paced research team developing and evaluating new counter‑autonomy concepts. Interns will contribute to research and development efforts aimed at improving the performance and effectiveness of counter‑autonomy systems. Successful candidates will work in a collaborative, learning‑focused environment and support the design and execution of experiments to evaluate novel technologies. Areas of emphasis include imaging, sensor fusion, data collection, machine learning, and hardware prototyping.Security Clearance Sandia is required by DOE to conduct a pre‑employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE L‑level security clearance, which requires U.S. citizenship. 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. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.EEO 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.#J-18808-Ljbffr