Signal Processing Engineer
Company: CoVar
Location: Durham
Posted on: February 16, 2026
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Job Description:
Job Description Job Description 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 Flexible work schedule Tuition support
Visit us: www.covar.com
Keywords: CoVar, Rocky Mount , Signal Processing Engineer, Engineering , Durham, North Carolina
