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# Staff Guidance, Navigation, and Control (GN&C) Engineer

- **Company:** Northrop Grumman
- **Location:** Huntsville, AL, United States
- **Experience:** Expert
- **Salary:** $166,500.0 - $249,700.0
- **Contract:** Internship / Graduate position
- **Skills:** C (Programming Language), Algorithm Design, Data Analysis, C++ (Programming Language), Configuration Management, Computer Programming, Continuous Delivery, Continuous Integration, Embedded Software, Hardware-In-The-Loop Simulation, Systems Analysis, Python (Programming Language), MATLAB, Machine Learning, Microsoft Visual Studio, Object-Oriented Software Development, Real-Time Operating Systems, Fortify (Software), SAP (Applications), Software Engineering, Systems Architecture, VxWorks, Multithreading, Scripting, Gitlab, Git, Kubernetes, Atlassian Tools, DO-178B, Software Version Control, Devsecops, Static Application Security Testing, Programming Languages
- **Published:** August 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sentinel-sr-staff-lead-engineer-gn-c-18840-roy-ut--04b6c638-e5e3-4d62-b222-6f4430ca68a6

## About the Role

* 14 years with bachelor's in relevant field of study, 12 years with master's, 10 years with PhD. An additional 4 years of experience can be considered in lieu of a degree.
 * Must be a US Citizen with an active U.S. Government DoD Secret security clearance at time of application with an investigation completed within the last 6 years
 * Must have the ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need
 * 10+ years' experience in guidance, navigation, or control algorithm development and/or analysis for launch vehicles, missiles, spacecraft, and/or aircraft applications
 * 8+ years' experience in high level programming languages (MATLAB, C++) and Object-Oriented Programming design
 * 8+ years' experience working in a highly collaborative & dynamic team-based environment, * Master''s or PhD Degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or related field
 * DoD Top Secret Clearance
 * Experience in sensor navigation, including inertial, radio, and/or optical navigation techniques
 * Experience in strategic missile guidance and implementation of guidance algorithms
 * Experience in trajectory optimization, non-linear control, and/or adaptive/autonomous flight control systems
 * Experience with optimal state estimation filters (e.g. Kalman)
 * Knowledge of machine learning applications for adaptive flight control
 * Demonstrated proficiency in MATLAB/Simulink, C/C++, Python, and/or other tools for GN&C simulation and development
 * Demonstrated knowledge of aerodynamic modeling, flight mechanics, missile/re-entry vehicle dynamics
 * Experience with hardware-in-the-loop (HWIL) testing, embedded control systems, and real-time software integration
 * In depth knowledge of Guidance, Navigation, and Control (GN&C) systems and systems architecture
 * Experience in software version control system (i.e. Git) and continuous integration/continuous delivery (CI/CD) practices
 * Experience in algorithmic application development and optimization
 * Experience in real-time embedded software development, including real-time multi-threaded architecture design, w/ knowledge of guidance and control systems
 * Experience with the Integrity Operating System and/or VxWorks
 * Experience with Visual Studio
 * Experience with Coverity, SonarCube, CodeSonar, Fortify and/or other SAST applications
 * Experience with the Atlassian tool set, Kubernetes, Model Based Engineering, GitLab, and DevSecOps best practices
 * Excellent integration troubleshooting skills
 * Knowledge of software standards including DO-330 or DO-178C, Aerodynamics, Aerospace Engineering, Algorithms, Analysis Skills, Analysis Software, Architectural Design, Best Practices, C Programming Language, C++ Programming Language, Continuous Deployment/Delivery, Continuous Integration, Control Systems, Cross-Functional, Diversity, DoD Secret Clearance, Electrical Engineering, Embedded Software, Embedded Systems, Employee Orientation, Git, Identify Issues, Integrity Operating System, Leadership, Life Insurance, MATLAB, Machine Learning, Mechanical Engineering, Microsoft Visual Studio, Model Verification, Multithreaded Programming, Object Oriented Design (OOD), Object Oriented Programming (OOP), Performance Analysis, Programming Languages, Python Programming/Scripting Language, Realtime Operating System, Requirements Validation/Verification, Root Cause Analysis, SAP, Security Clearance, Simulation, Software Development, Source Code/Configuration Management (SCM), Stability Analysis, System Architecture, Systems Analysis, Team Player, Technical
Leadership, Testing, United States Citizen, VxWorks

## Description

Northrop Grumman Defense Systems is seeking a Sr. Staff Guidance, Navigation, and Control (GN&C) Engineer supporting activities including flight simulator development, GN&C algorithm development and implementation, and "test as you fly" with rigorous model and requirements verification and validation.

This position will be located in Roy, UT / Huntsville, AL / Manhattan Beach, CA supporting the Sentinel program.

The successful candidate will provide technical leadership within the Flight Systems Analysis & Algorithms team helping in planning, development, and integration of work scope, and identifying GN&C risks and opportunities. The candidate will also be expected to provide subject matter expertise and brief senior leadership on technical issues.

Specific duties to include, but are not limited to the following:

 * Work in multi-disciplinary teams to develop, verify, and validate a complex 6-degree of freedom missile flight simulator
 * Design and implement guidance, navigation, and control algorithms
 * Gain tuning and assessment of system stability
 * Develop software tools for analyzing GN&C performance
 * Conduct system assessments for performance against mission requirements
 * Perform GN&C system and accuracy analysis of flight tests, and root cause error analysis


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