Communications Engineer

Position: Digital Signal Processing (DSP) Engineer – Wireless Systems Overview A technology-focused organization supporting advanced communications and sensing initiatives is seeking a highly skilled Digital Signal Processing (DSP) Engineer . This role focuses on wireless protocols, real-time signal processing, and software-defined radio (SDR) systems. The ideal candidate enjoys solving complex RF challenges, developing innovative signal processing solutions, and working in a technically rigorous environment. This position contributes to advanced research, rapid prototyping, and development of operational capabilities for mission-critical applications. Key Responsibilities Develop engineering solutions for the collection, processing, and analysis of RF signals Apply digital communications expertise including signal detection, estimation, and demodulation Design modeling approaches, proofs-of-concept, prototypes, and deployable systems Implement signal processing algorithms using C/C++ and Python Work with real-time SDR platforms and wireless protocol processing systems Collaborate with distributed engineering teams and participate in modern code management workflows Communicate complex technical concepts through written documentation and technical briefings Required Qualifications Active TS/SCI security clearance Experience developing systems for RF signal collection, processing, and analysis Strong understanding of digital communications theory Proficiency in C/C++ and Python Experience supporting systems development within national security, defense, or similar mission-focused environments Familiarity with modern version control tools (e.g., Git) Strong written and verbal communication skills Bachelors degree or higher (or equivalent experience) in Electrical Engineering, Computer Science, Mathematics, or a related technical discipline Preferred Qualifications Experience with Software Defined Radio (SDR) platforms Familiarity with XMIDAS or similar signal processing environments Knowledge of RF geolocation concepts and techniques Experience working in complex or contested RF environments Understanding of wireless air interface protocols Experience developing multi-threaded signal processing algorithms in Python or C++ on Linux Ability to collaborate effectively in distributed engineering teams