Principal Digital Signal Processing Engineer

AeroVironment • Leesburg, VA

10h

About The Position

We are seeking a Principal Digital Signal Processing (DSP) Engineer to lead and support efforts in detecting and classifying Unmanned Aerial Surveillance (UAS) platforms using their Radio Frequency (RF) link. The ideal candidate will have experience in Software Defined Radio (SDR) based systems, RF protocols, signal detection, and strong software skills. Familiarity with AI/ML-based classification approaches is a plus. This role will set the strategy and technology roadmap for signal processing and development, influence decision-making and strategic planning for signal programs, determine new areas for software technology introduction or proof-of-concepts based on industry trends, and research and evaluate emerging technology, industry, and market trends to assist in project development and/or operational support activities.

Requirements

• B.S. or higher in Electrical Engineering, Computer Engineering, or related technical discipline.
• A minimum of 5 years of professional experience. Note: Military experience is equivalent to professional experience.
• Proficient in C++ and MATLAB for algorithm development and simulation.
• Experience in RF signal detection, demodulation, and characterization.
• Strong background in reverse engineering wireless communication protocols.
• Ability to obtain and maintain a DoD security clearance.
• Must qualify as a U.S. person under ITAR and EAR regulations.
• Current U.S. Citizenship may be required due to contract requirements.

Nice To Haves

• Familiarity with AI/ML-based classification approaches.

Responsibilities

• Design and implement DSP algorithms to detect and analyze UAS RF signals.
• Reverse engineer RF protocols associated with commercial and custom UAS platforms.
• Familiarity with Software Defined Radios for signal acquisition and experimentation.
• Develop signal processing workflows in MATLAB and production-ready implementations in C++.
• Analyze RF environments to distinguish UAS signals from background noise and benign emitters.
• Manage source code and collaborative development using Git.
• Collaborate with interdisciplinary teams including RF engineers, data scientists, and mission analysts.
• Contribute to research efforts on novel RF-based UAS detection methods.

Benefits

• Medical
• Dental
• Vision
• 401K with company matching
• 9/80 work schedule
• Paid holiday shutdown

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 501-1,000 employees