RF / Signals Engineer

Lead, Software Engineer (Radar Systems)

L3Harris Technologies · Colorado Springs, CO

Salary

$117,000 - $218,000

First seen

Jul 2, 2026

Verified

Jul 9, 2026

Minimum clearance

Secret

Active clearance

Not listed

Relocation

Not listed / not found

Experience

7+ years; 9+ with BS

Office

Colorado Springs location, Colorado Springs

Basic requirements

• 2+ years of technical leadership experience leading small engineering teams in software delivery. • Bachelor's Degree and minimum 9 years of prior relevant experience, or Graduate Degree and a minimum of 7 years of prior related experience, or in lieu of a degree, minimum of 13 years of prior related experience. • Ability to obtain a Secret security clearance. • Preferred Additional Skills • Experience with phased-array radar, beam scheduling, sub-array allocation, or beamforming concepts. • Experience developing and integrating radar or mission-algorithm software, with depth in one or more of these areas: • Radar DSP or signal-processing software • Radar simulation, hardware-integrated test, benchmark, or truth-data-driven evaluation • Radar tracking, correlation, propagation, or custody algorithms • Mission management, tasking, scheduling, or degraded-operations workflows • Experience with performance-critical or mission-critical software in Linux or backend environments. • Proficiency in backend systems programming languages such as C++ and Go. • Experience with radar signal-processing, detection, clutter mitigation, or measurement-extraction techniques. • Experience with repeatable benchmark harnesses, truth-data packages, quantitative performance evidence, or live-versus-sim comparison workflows. • Experience with simulation, distributed test environments, hardware-integrated test, or live-versus-sim evaluation workflows. • Experience with orbital, ballistic, maneuver-aware, or other track-propagation approaches. • Experience with data association, correlation, custody logic, or track-continuity metrics. • Experience with machine-to-machine tasking interfaces, mission prioritization, scheduler behavior, or operator-in-the-loop recovery workflows. • Experience tuning high-throughput or low-latency algorithm software using parallel processing, GPU acceleration, or similar performance techniques. • In compliance with pay transparency requirements, the salary ran