National Security Solutions (NSS) Internship – Signal Processing Intern

KBR, Inc. • Chantilly, VA

1d

About The Position

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. As a National Security Solutions – Signal Processing Intern: Assists in developing, simulating, and analyzing signal processing algorithms for array-based systems. Works on beamforming and array processing implementations and performance evaluation. Implements and tests algorithms primarily in MATLAB (Python optional). Builds simulation frameworks to evaluate array geometries, beam patterns, and system performance. Processes and visualizes signal and array data for analysis and reporting. Supports integration of signal processing code into larger research or prototype workflows. Uses git-based workflows for version control, collaboration, and code review. Documents methods, assumptions, and results clearly for technical review. Collaborates with engineers and researchers to iterate on models, simulations, and results. 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.

Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or related field.
• Coursework or experience in signal processing, array processing, beamforming, or RF systems.
• Strong proficiency in MATLAB for simulation, analysis, and visualization.
• Familiarity with fundamental signal processing concepts (sampling, filtering, FFTs, etc.).
• Comfort working with numerical simulations and performance analysis.
• Experience with git or similar version control systems.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Must be a US Citizen
• Must pass a Security Pre-Screen and have the ability to obtain a security clearance.

Nice To Haves

• Exposure to Python or other scientific computing tools is a plus, but not required.
• Prior research, lab, or project experience in signal processing or communications is a plus, but not required.
• Strong work ethics and interpersonal skills.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.

Responsibilities

• Assists in developing, simulating, and analyzing signal processing algorithms for array-based systems.
• Works on beamforming and array processing implementations and performance evaluation.
• Implements and tests algorithms primarily in MATLAB (Python optional).
• Builds simulation frameworks to evaluate array geometries, beam patterns, and system performance.
• Processes and visualizes signal and array data for analysis and reporting.
• Supports integration of signal processing code into larger research or prototype workflows.
• Uses git-based workflows for version control, collaboration, and code review.
• Documents methods, assumptions, and results clearly for technical review.
• Collaborates with engineers and researchers to iterate on models, simulations, and results.

Benefits

• 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

What This Job Offers

• Career Level: Intern