Bachelor's degree with 8 years or Master's with 6 years or PhD with 4 years in aerospace, mechanical, electrical engineering, or related field.
Current U.S. Government Secret security clearance required.
Experience with GNC concepts, algorithms, or analysis for aerospace or missile systems.
Proven leadership in development, modeling, simulation, or analysis for aerospace or autonomous systems.
Proficiency in C++, Python, MATLAB/Simulink, or similar tools in a Linux environment.
Responsibilities
Lead design, development, and testing of high-quality software and simulation toolchains.
Own the development and maintenance of 6 DOF simulations for flight algorithm validation.
Optimize flight and simulation software for performance and maintainability.
Define and execute trajectory analysis and optimization campaigns for mission performance.
Present technical results and recommendations to program leadership.
Benefits
Opportunity to mentor early career engineers and provide technical direction.
Collaborative work environment with cross-functional teams.
Engagement in advanced aerospace applications including aircraft and spacecraft.
Involvement in critical analysis and design tasks that impact mission success.
Full Job Description
Role: Sr. GNC Engineer - Aerospace Systems Duration: 12 months Work Location: Chandler, AZ (On-Site) Work Authorization: US Citizen; must hold a current/active Secret security clearance
In this role, you will lead the development and evaluation of guidance, navigation, and control systems for advanced aerospace applications, including aircraft, spacecraft, missiles, and launch vehicles.
You will apply mathematical modeling, control theory, and algorithm development to achieve precise navigation and control performance and will own key analysis and design tasks.
Your work will include architecting and maintaining six degrees of freedom (6 DOF) simulations, defining performance metrics, designing and implementing solutions, and integrating hardware and software components to help ensure system reliability and mission success.
You will mentor early career engineers, provide technical direction on GNC approaches, and collaborate with cross functional teams across integration, test, and analysis activities.
Responsibilities:
Leading the design, development, implementation, verification, and test of high quality software and simulation toolchains; owning the development and maintenance of six degree of freedom (6 DOF) simulations used to design, analyze, and validate flight algorithms and flight code; optimizing flight and simulation software for performance, robustness, and maintainability; defining and executing trajectory analysis and optimization campaigns to evaluate mission performance and GNC designs; and presenting technical results, risks, and recommendations to program leadership.
This position is contingent upon obtaining and maintaining required program access within a reasonable period of time, as determined by the company.
Required Qualifications:
Bachelor's degree with 8 years of professional experience, or a master's degree with 6 years of professional experience, or a PhD with 4 years of professional experience, in aerospace engineering, mechanical engineering, electrical engineering, or a related engineering discipline.
Must have an existing U.S. Government security clearance at the Secret level.
Demonstrated experience with guidance, navigation, and/or control concepts, algorithms, or analysis for aerospace or missile systems.
Experience leading or significantly contributing to development, modeling, simulation, test, integration, or analysis activities for aerospace or autonomous systems.
Proficiency with one or more of the following: C++, Python, MATLAB/Simulink, or similar technical software tools, with development in a Linux environment.
Preferred Qualifications:
Master's or PhD in a relevant engineering discipline.
Strong foundation in control systems theory and guidance law design, including application to flight software.
Navigation experience includes Kalman filters, GPS anti jam techniques, and M code, with demonstrated ability to analyze and tune performance.
Experience with tracking, discrimination, and state estimation algorithms for aerospace or autonomous systems.
Competence in C++, Python, Jira, and development in a Linux environment, including use of modern software engineering practices such as version control and continuous integration.
