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Radar Signal Processing Engineer III

USA Jobs, San Diego, California, United States, 92101

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Radar Signal Processing And Analysis Algorithm Developer

Leidos addresses some of the nation's toughest defense challenges through cutting-edge signal processing and data analytics. Our San Diego-based team consists of highly skilled scientists and engineers focused on extracting maximum intelligence from complex radar data for both classified and unclassified systems. We are seeking a motivated and inquisitive candidate who thrives in research, algorithm development, and implementation. The ideal candidate demonstrates strong scientific curiosity and a commitment to continuous learning. Primary Responsibilities Develop cutting edge radar signal processing and analysis algorithms for national defense Research cutting edge algorithms for radar noise reduction, detection, and characterization Perform radar data analysis Create efficient implementations in software Document results Work collegially within a talented team of peers Basic Qualifications BS degree with 5+ years of prior relevant radar signal processing experience, Masters with 2 years of prior radar signal processing experience or Doctoral degree in a scientific field such as applied math, physics, or engineering. Able to obtain a top-secret security clearance Experience in scientific algorithm development and radar data analysis Excellent analytical and mathematical skills Fluency in MATLAB, Python, or similar high-level language Proven track record of innovation, problem solving, and achieving technical results Strong documentation skills Required on-site full-time work in San Diego, CA Preferred Qualifications An understanding of complex radar phenomenology, detection, and characterization Experience programming in C/C++ Comfortable with public speaking and/or customer presentations Come break things (in a good way). Then build them smarter. We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."