Digital Signal Processing Engineer

What You’ll Get to Do: Design, develop, debug, integrate, and test signal processing algorithms and SIGINT software systems running on a variety of platforms supporting intelligence, defense, and other government missions.

Design, develop, integrate, and test analytic signal processing software tools for DSP algorithms Design, develop, integrate, and test software for Machine Learning applications.

Enhance and maintain existing X-Midas and M2Extra Government Off The Shelf (GOTS) signal processing tools.

Help define the requirements, CONOPs and architecture for future systems.

Use computer-assisted engineering and design software and equipment to perform engineering tasks.

Expected graduation in Spring 2026 with a Bachelor’s degree in Electrical Engineering, Computer Engineering, Applied Mathematics, Computer Science or related field You’ll Bring These Qualifications:

TS/SCI with Polygraph Bachelor's degree in Electrical Engineering, Computer Engineer, or Electrical and Computer Engineering Experience processing signals using any signal processing software tool suite Experience programming in Python, and C++ Linux software development experience Demonstrated proficiency in communicating technical and analytical information in written products Exposure to all phases of software development lifecycle (concept, design, implementation, test, and production).

working in collaborative team environments centered around signal processing and software development These Qualifications Would be Nice to Have: Master's Degree in Electrical Engineering, Computer Engineering, Applied Mathematics, Computer Science or related field Development of link budgets, range estimates, and system sensitivity assessments Understanding of software defined radio systems: Receiver architectures Software channelization Modulation/demodulation techniques Spectral analysis Experience with X-Midas in the development of RF transmission and receiver systems or software defined radios Experience with Kubernetes or Docker Experience with telemetry systems Knowledge and experience of processing signals, including: Error correcting codes Digital video formats Knowledge and experience with target tracking systems Knowledge and experience performing machine learning techniques