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Redondo Beach

    Guidance Navigation Controls Engineer - Redondo Beach, United States - Northrop Grumman

    Northrop Grumman background
    Description

    This position is currently contingent on program award and associated program award funding. Start dates are determined after funding confirmation.

    Northrop Grumman Aeronautics Systems is looking for a Principal or Senior Principal Engineer Guidance Navigation Controls to support the Vehicle Engineering organization in Redondo Beach, CA.

    The selected candidate will support research and development of flight control algorithms for manned and unmanned air vehicles. This is a dynamic and fun organization involved in deploying forward-leaning avionics, guidance, navigation, and control systems for developmental concepts for air vehicles, weapons, and many more platforms.

    Responsibilities:

    Design, develop, implement, verify, and test algorithms, software, and simulation tools to perform guidance, navigation and control (GNC) of autonomous unmanned aircraft.

    Develop control laws to meet air vehicle performance, flying qualities and stability margin requirements, both on ground and in flight.

    Design inner and outer loop control laws, and associated logic and autonomy functions.

    Develop air vehicle system linear and non-linear dynamic simulation models and integrate models into software and hardware-in-the-loop simulation environments.

    Perform performance and flying qualities analysis.

    Support non-linear simulation and hardware-in-the-loop lab testing.

    Support flight test activities and analyze air vehicle flight test data.

    This requisition may be filled at either a Principal Engineer or Sr. Principal Engineer level.

    Basic Qualifications for Principal Engineer Guidance and Navigation Controls:

    Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with a minimum of 5 years of experience OR Masters degree in a STEM discipline from an accredited university with a minimum of 3 years of experience OR PhD in a STEM discipline from an accredited university with a minimum of 0 years of experience.

    Excellent communication, analysis, and problem-solving skills.

    Must have a current active in-scope DoD Secret security clearance or higher, with the ability to obtain Special Program Access (SAP)

    Working knowledge of fixed-wing aircraft flight dynamics.

    Experience using linear control principles and tools to design feedback control systems.

    Experience analyzing non-linear simulations of aircraft closed-loop dynamics.

    Working knowledge of autopilot functions.

    Working knowledge of outer loop control law performance requirements.

    Experience using MATLAB to create, process, analyze, and visually represent data.

    Experience using Simulink to model dynamic systems.

    Basic Qualifications for Sr Principal Engineer Guidance and Navigation Controls:

    Bachelor's degree in a STEM discipline with a minimum of 9 years of experience OR Masters degree in a STEM discipline with 7 years of experience OR PhD in a STEM discipline with a minimum of 4 years of experience.

    Must have a current active in-scope DoD Secret security clearance or higher, with the ability to obtain Special Program Access (SAP)

    Working knowledge of fixed-wing aircraft flight dynamics.

    Experience using linear control principles and tools to design feedback control systems.

    Experience analyzing non-linear simulations of aircraft closed-loop dynamics.

    Working knowledge of autopilot functions.

    Working knowledge of outer loop control law performance requirements.

    Experience using MATLAB to create, process, analyze, and visually represent data.

    Experience using Simulink to model dynamic systems.

    Preferred Qualifications:

    Experience designing autopilot functions.

    Excellent communication, analysis, and problem-solving skills.

    Experience with logic, modes, and states for autonomous aircraft.

    Familiar with autonomy algorithms (Sense and Avoid, Autonomous Taxi/ Take Off And Landing, etc.) for driving control laws.

    Working knowledge of SAE-94910 performance requirements.

    C/C++ programming skills

    Python programming skills

    #LI-JW1



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