Advanced antenna systems and mission-critical electronics for defense and aerospace
Resonant Sciences designs and manufactures advanced aperture systems, mission electronics, and signature diagnostics for government and commercial aerospace/defense customers. The tech stack—CATIA, Solidworks, MATLAB, LabVIEW, FPGA tooling (Xilinx), and electromagnetic simulation (HFSS)—reflects a hardware-first, simulation-heavy R&D operation. Active adoption of GPU compute (CUDA, OpenCL) alongside traditional RF and structural engineering suggests a push toward real-time modeling and fielded decision support, while the engineering-dominated hiring (27 of 34 open roles) and mid-to-senior skew indicate they're scaling both hands-on IC depth and technical leadership.
Resonant Sciences is a privately held R&D and manufacturing firm headquartered in Dayton, Ohio, founded in 2014. The company operates at the intersection of advanced apertures (radomes, antenna systems), mission systems (communications, electronic warfare, GPS denial mitigation), and signature systems diagnostics for defense and commercial aerospace sectors. Their vertically integrated model spans design through test and production: projects range from antenna and radar system development to robotic inspection tools and subsystem porting from prototype to fielded product. The organization operates across 201–500 employees in the United States, with active hiring concentrated in engineering roles.
Resonant Sciences' design stack includes CATIA, Solidworks, Creo, and NX for mechanical CAD; MATLAB and LabVIEW for modeling and control; Xilinx and FPGA tools for electronics; HFSS and vector network analyzers for RF/electromagnetic analysis; and Nastran and FEMAP for structural simulation.
Active projects include antenna system development for air vehicles, radar capability advancement, radome design, custom RF measurement systems, robotic zonal radar systems, and migration of lab prototypes to production-ready platforms.
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Resonant Sciences LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.