Signal Processing Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop signal processing algorithms and software to solve real-world customer problems. You will develop novel and advanced algorithms for sense making and sensor decision making for applications in the RF domain to include detection, localization, classification, tracking and EW. You will design and implement simulations for these RF applications as well as evaluate results on real world data. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Key Responsibilities 

• 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. 

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. 

Benefits

• Competitive salary, cash bonus, equity structure, and 401k with employer contributions
• Excellent health care coverage, including dental and vision plans
• Parental leave
• Short-term and long-term disability insurance
• Life insurance
• Flexible work schedule
• Tuition support
• PTO and paid holidays

Visit us: www.covar.com