GNC Systems Engineer
On-site · Mooresville, North Carolina, United States
Job Summary
GNC Systems Engineer to bridge mission requirements and GNC subsystem design for aerospace vehicles, including missiles and loitering munitions. Derive, flow down, and manage subsystem and component-level requirements for GNC hardware and software algorithms; define system architecture, data interfaces, and functional boundaries to ensure seamless integration between GNC software, flight software, and hardware. Lead verification campaigns using Hardware-in-the-Loop (HWIL) and Software-in-the-Loop (SITL); assist in 6-DOF modeling and simulation to evaluate performance and conduct trade studies. Manage risk and maintain Interface Control Documents (ICDs), test plans, and subsystem performance documentation. Serve as technical liaison across Aerodynamics, Structural/Mechanical Design, Integration & Test, Electrical Engineering, and Program Management. Required candidate is a US citizen with eligibility for a Secret Clearance and a Bachelor's Degree in Aerospace Engineering (or related STEM) with at least 5 years of systems engineering experience in GNC, robotics, or autonomous systems; strong Python or MATLAB/Simulink skills for modeling and data analysis; familiarity with MBSE and requirements management tools; knowledge of GNC hardware and control theory. It is beneficial to have exposure to DO-178C/DO-254/ARP4754A and HWIL/SIL testing; Corvid Technologies emphasizes ownership and a fast-paced, collaborative environment.
Required Qualifications
- US Citizen
- eligibility to obtain Secret Clearance
- Bachelor's Degree in Aerospace Engineering (or similar STEM field)
- at least 5 years of experience in systems engineering, specifically applied to GNC, robotics, or autonomous systems
- Proficiency with requirements management tools and MBSE methodologies
- Demonstrated understanding of rigid-body dynamics, kinematics, and electrical system communication and power
- Familiarity with GNC hardware (e.g., IMUs, GPS, seekers, electro-mechanical actuators) and knowledge of classical/modern control theory
- Strong proficiency in Python or MATLAB/Simulink for system modeling and data analysis
- Experience with C/C++ for flight software implementation is a plus
- Familiarity with DO-178C, DO-254, or ARP4754A as well as hands-on HWIL/SIL testing and test bench is a plus
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