MINIMUM QUALIFICATIONS

• B.S., M.S., or Ph.D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a related field.
• 3+ years of experience in RF signal processing or a related discipline.
• Strong proficiency in one or more of the following programming languages: Python, C/C++, or MATLAB.
• Experience in the following areas:
• RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation
• Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts.
• Ability to work in Durham, NC (relocation assistance available)
• Eligibility for US security clearance

PREFERRED QUALIFICATIONS

• Experience with:
• Radar signal processing in Department of Defense (DoD) specific applications including electronic warfare (EW) techniques such as electronic support measures, attack, protection, and cognitive EW.
• AI/ML algorithm design in the areas of computer vision, reinforcement learning (RL), and natural language processing.
• Spectrum monitoring and signal classification using machine learning techniques.
• Translating the mission needs of DoD customers into an end-to-end technical solution.
• Proposal development and proposal writing.
• Familiarity with FPGA or GPU acceleration for high-performance DSP.
• Proficiency in C/C++ for embedded or real-time applications.
• Active U.S. security clearance.

• Algorithm Development: Design, implement, and optimize signal and array processing algorithms for RF applications, detection, localization, tracking, channel estimation, beamforming, and spectral analysis.
• Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking, parameter estimation, and pattern recognition.
• Prototyping & Testing: Develop simulation models (e.g., Python, MATLAB) and implement algorithms on real-time platforms such as FPGAs, GPUs, or SDRs (Software-Defined Radios).
• RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance.
• Performance Evaluation: Conduct laboratory and field testing to validate system performance under various operational conditions.
• Research & Innovation: Stay up to date with emerging RF technologies, advanced signal processing techniques, and industry best practices.
• Documentation: Prepare technical reports and presentations for internal and external stakeholders.