Skip to content
NEXTMOVEFDE careers · United States

Signal Processing Engineer

About CoVar

Custom AI/ML R&D shop building mission-grade sensor, autonomy, vision, and knowledge-graph software for DoD, biomedical, and industrial customers.

Bootstrapped · 10–50 people

Job description

The full responsibilities and requirements are on the employer’s site.

Read the job description
Source and classification

Production engineering · Evidence for this classification:

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
More from the 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 [... source excerpt omitted ...] s, 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 model [... source excerpt omitted ...] eering 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 solut

How jobs are selected

Employer postings · Data from · Sources