RF Sensing Systems Engineer — National Security Tech

KBR, Inc.; Ann Arbor (MI); On-site; USD 95,000 - 135,000; Full time

Job summary

KBR, Inc. is seeking an RF Sensing Systems Engineer to join our National Security Solutions team in the United States.

You will contribute to developing and evaluating remote sensing systems, radar and electro-optical sensors, and advanced algorithms. The role emphasizes systems engineering, modeling, and collaboration across disciplines, with opportunities to apply MATLAB and Python for data-driven analyses and to support secure, high-impact defense programs.

Qualifications

• Education: Academic degree in Electrical Engineering, Applied Physics, Applied Mathematics, or Computer Science, with accompanying years of relevant experience as indicated
• Master’s + 2 years of experience (internship or co-op accepted)
• Demonstrated background in remote sensing technologies (systems, software)
• Demonstrable successful performance in systems engineering and development
• Experience with MATLAB and/or Python
• Ability to obtain TS/SCI Security clearance

Responsibilities

• Participate in systems engineering teams on concurrent development projects with overlapping objectives
• Translate user needs into requirements for innovative technical solutions
• Collaborate across disciplines to develop and validate algorithms using modeling and data
• Implement advanced signal and image processing algorithms using MATLAB and/or Python
• Document and present results to teammates and customers

Skills

Communication

Independent work

Team collaboration

Education

Electrical Engineering / Applied Physics / Applied Mathematics / Computer Science (Master’s + 2 years)

Tools

MATLAB

Python

C++

Job description

KBR, Inc. is seeking an RF Sensing Systems Engineer to join our National Security Solutions team in the United States.

You will contribute to developing and evaluating remote sensing systems, radar and electro-optical sensors, and advanced algorithms. The role emphasizes systems engineering, modeling, and collaboration across disciplines, with opportunities to apply MATLAB and Python for data-driven analyses and to support secure, high-impact defense programs.