Radar Signal Processing Engineer III

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."