VTG Defense · Hanover, MD, United States
Skills: Python
Overview:
We are seeking an experienced RF Software Engineer to support the design, development, implementation, and optimization of advanced Radio Frequency (RF) and Digital Signal Processing (DSP) software solutions for mission-critical government systems.
The ideal candidate will have a strong background in C++, Python, Linux, and DSP algorithm development, with experience developing high-performance software for RF signal processing, signal analysis, and communications applications. This role involves developing and enhancing software algorithms, integrating existing technologies, and collaborating with multidisciplinary engineering teams to deliver innovative solutions supporting complex government mission requirements.
Eligible candidates may receive a sign-on bonus of up to $10,000, making this an exceptional opportunity to join a mission-critical team supporting national security initiatives.
Triaplex
VTG
Responsibilities:
Design, develop, implement, and optimize RF and Digital Signal Processing (DSP) algorithms for advanced signal processing applications. Develop high-performance software solutions supporting RF signal detection, analysis, processing, and exploitation. Design and implement algorithms focused on high-throughput signal processing, low signal-to-noise ratio (SNR), higher-order modulation, and adaptive modulation techniques. Develop, maintain, and enhance software applications using C++, Python, and Linux-based development environments. Analyze RF signal characteristics and develop software algorithms to improve signal processing performance and efficiency. Modify and enhance existing software and firmware to support evolving technical and operational requirements. Integrate and adapt Commercial Off-the-Shelf (COTS) and Government Off-the-Shelf (GOTS) technologies to meet specialized government requirements. Develop, test, debug, and validate RF signal processing software to ensure accuracy, reliability, and performance. Optimize software algorithms f…
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