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