Title:
National Security Solutions (NSS) Internship – Software Engineering Intern
Who We Are
KBR Mission Technical Solutions delivers full life cycle professional and technical solutions that improve operational readiness and drive innovation. Our solutions help ensure mission success on land, air, sea, space and cyberspace for the Department of Defense, Intelligence Community, NASA and other federal agencies. KBR’s areas of expertise include engineering, logistics, operations, science, program management, mission IT and cybersecurity. KBR strives to create a safer, more secure and sustainable world by bringing together the best and brightest to deliver technologies and solutions that help our customers accomplish their most critical missions and objectives.
The Mission Ahead
This role is with KBR’s Mission Tech Solutions (MTS). At KBR MTS, we don't just envision a world that's safer, more secure, and sustainable - we create it. Our legacy of delivering advanced full life cycle professional and technical solutions is matched only by our commitment to operational readiness and innovation. As stewards of critical missions for the Department of Defense, Intelligence Community, NASA, and other key federal entities, we excel in engineering, logistics, operations, science, program management, mission IT, and cybersecurity. United in our quest for excellence, KBR stands at the vanguard, ready to transform possibilities into impactful realities for a better tomorrow.
Why Join KBR?
- Mentorship from experienced subject matter experts
- Cutting edge projects, relevant to real world challenges
- Work in a collaborative and dynamic team environment
- Networking opportunities with other technologists and executives
- Competitive pay and great company culture
As a National Security Solutions – Software Engineering Intern:
- Support analysis of radar, sensor, or similar system data, including preprocessing, noise removal, and feature extraction. Implement and evaluate computer vision or image‑processing algorithms, potentially involving object detection, tracking, or image enhancement (if background allows).
- Assist with simulation, modeling, or data‑driven studies related to aerospace or mechanical engineering concepts (e.g., kinematic relationships, sensor geometries).
- Develop, test, and validate algorithms that use vector math, including dot/cross products, coordinate frame transformations, and geometric projections.
- Perform basic digital signal processing (DSP) tasks such as filtering, Fourier analysis, and time–frequency characterization using MATLAB or Python.
- Contribute to the design or improvement of graphical user interfaces (GUIs) for internal tools using MATLAB App Designer, Python frameworks, or other UI technologies.
- Document code, results, and methodology clearly to support team collaboration and future reuse.
- Collaborate with engineers to troubleshoot software or algorithm issues, iterating solutions from initial concept to tested implementation.
- Present progress in team meetings and provide written summaries of findings, ensuring technical clarity and attention to detail.
- Work both independently and as part of a small technical team, taking ownership of assigned tasks and driving them to completion.
Selected interns for this paid opportunity will be provided with the opportunity to mentor with experienced professionals, gain experience and establish a name for themselves in this high demand career field.
Required Skillset:
- Full‑time rising junior, senior, or graduate student pursuing a degree in a science or engineering field (e.g., Aerospace Engineering, Mechanical Engineering, Applied Physics, Mathematics).
- Strong proficiency in Python and/or MATLAB for data analysis, modeling, and basic algorithm development.
- Solid understanding of vector math, including dot products, cross products, coordinate transformations, and geometric projections.
- Strong problem‑solving ability with the ability to work both independently and collaboratively in a technical team environment.
- Clear verbal and written communication skills with high attention to detail.
Preferred Skillset:
- Familiarity with aerospace or mechanical modeling concepts, such as coordinate frames, rigid‑body kinematics, or sensor geometry.
- Hands‑on experience with signal processing, especially in radar systems, RF sensing, or similar domains.
- Exposure to computer vision techniques, such as image filtering, object detection/tracking, or CNN‑based machine learning methods.
- Experience developing or enhancing graphical user interfaces (GUIs) using tools such as MATLAB App Designer, GUIDE, Tkinter, PyQt, or similar frameworks.
- Prior work with algorithm visualization, data dashboards, or information display design.
- Demonstrated interest in applied engineering problems, sensing technologies, or algorithm development.
Scheduled Weekly Hours: Average 40 hours per week, 10 weeks in duration during the period of Summer 2026
Requirement:
- Must pass a Security Pre-Screen and have the ability to obtain a security clearance.
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
