CoVar Applied Technologies, Inc.
Signal Processing Engineer Durham, NC
CoVar Applied Technologies, Inc., Raleigh, North Carolina, United States
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.
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 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.
Competitive salary, cash bonus, equity structure, and 401k with employer contributions
Excellent health care coverage, including dental and vision plans
Tuition support
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in CoVar’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to VEVRAA, we collect this information to measure the effectiveness of our outreach and recruitment efforts. Classification of protected categories is as follows:
A "disabled veteran" is one of the following: a veteran entitled to compensation under laws administered by the Secretary of Veterans Affairs; or a person discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of discharge or release from active duty.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty during a war or in a campaign or expedition for which a campaign badge has been authorized.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty, participated in a United States military operation for which an Armed Forces service medal was awarded.
DISABILITY STATUS and related details are available in the full form. This section is included to comply with federal guidelines. Public burden statement: This survey should take about 5 minutes to complete.
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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.
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 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.
Competitive salary, cash bonus, equity structure, and 401k with employer contributions
Excellent health care coverage, including dental and vision plans
Tuition support
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in CoVar’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to VEVRAA, we collect this information to measure the effectiveness of our outreach and recruitment efforts. Classification of protected categories is as follows:
A "disabled veteran" is one of the following: a veteran entitled to compensation under laws administered by the Secretary of Veterans Affairs; or a person discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of discharge or release from active duty.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty during a war or in a campaign or expedition for which a campaign badge has been authorized.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty, participated in a United States military operation for which an Armed Forces service medal was awarded.
DISABILITY STATUS and related details are available in the full form. This section is included to comply with federal guidelines. Public burden statement: This survey should take about 5 minutes to complete.
#J-18808-Ljbffr