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Updated daily · Sep 16, 2026
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Principal Systems Engineer - Missile Guidance, Navigation, and Control Engineer

RTX (Raytheon)Tucson, AZFull-time$107,500 - $204,500 USD

This engineer will help design and verify tactical missile flight algorithms, integrate them into embedded systems, and evaluate performance through six-degree-of-freedom simulations and Monte Carlo studies. The position is part of Raytheon’s Effectors Processing, Guidance & Control organization, which develops GNC, signal processing, estimation, and modeling capabilities across multiple defense programs. Responsibilities include leading technical planning in an Agile environment, conducting system-level analyses, optimizing missile performance, and mentoring less-experienced engineers. The role suits an experienced GNC, systems, controls, signal processing, or modeling and simulation professional who can work across software, hardware, and system-level engineering concerns. Candidates must be U.S. citizens with an active Secret clearance and be able to work onsite in Tucson.

Requirements

Bachelor's degree in Engineering, Science, Physics, Mathematics, or related STEM field plus minimum 8 years relevant experience in GNC, Signal Processing, or Modeling/SimulationDemonstrated expertise in at least two areas: digital/modern control systems, dynamics, Kalman filter design, Monte Carlo analysis, system development/simulation, signal processing, or verification and validationProficiency with MATLAB, Python, C, C++, and object-oriented design; experience implementing GNC or Signal Processing algorithmsExperience managing or leading technical teams and engineers within an engineering environmentActive, transferable U.S. Secret security clearance required at start; U.S. citizenship mandatoryExperience with missile system applications, GPS/INS navigation systems, or APNT algorithms preferred
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Listed July 3, 2026 · Verify details with the employer before applying.

About RTX (Raytheon)

Tucson houses Raytheon's missile and defense HQ producing precision-guided systems, and has flight-tested an AI/ML-powered Radar Warning Receiver.

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