Radar Optimization Engineer – NAS/FAA Field Expert

NCSL International

Northern (KY)

Hybrid

USD 108,000 - 195,000

Full time

10 days ago
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Benefits offered by this job

Health and Wellness programs
Income Protection
Paid Leave and Retirement

Job summary

Leidos is seeking a qualified Radar Optimization Engineer to support the NAS BNATCS RSR program at major U.S. airports.

You will lead radar configuration, testing, calibration, and optimization, acting as SME to the program office and coordinating with FAA personnel and vendors. The role requires extensive field experience, FAA training/certification, and the ability to travel 50–75% of the time while maintaining high-quality radar performance and reliable data.

Qualifications

  • Bachelor’s Degree with 4-8 years of relevant experience or equivalent.
  • Formally trained in radar systems and related FAA or military programs.
  • Hands-on field experience with NAS radar environments.
  • Proficiency with RF, signal processing, and radar testing.

Responsibilities

  • Represent the program office at RSR sites and meet multi-site schedules.
  • Serve as SME to engineering leads on radar optimization.
  • Configure radar tracking params, interfaces, and middleware.
  • Troubleshoot RF/interference, perform calibration and tuning.
  • Document results and coordinate with FAA personnel and vendors.

Skills

Radar systems
RF propagation
Field troubleshooting
System integration
Signal processing
Documentation

Education

Bachelor's Degree in Electrical Engineering or related

Tools

Spectrum analyzers
Oscilloscopes
Power meters
Radar diagnostic software
Ethernet/CAN/fiber interfaces

Job description

Leidos is seeking a qualified Radar Optimization Engineer to support the NAS BNATCS RSR program at major U.S. airports.

You will lead radar configuration, testing, calibration, and optimization, acting as SME to the program office and coordinating with FAA personnel and vendors. The role requires extensive field experience, FAA training/certification, and the ability to travel 50–75% of the time while maintaining high-quality radar performance and reliable data.

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