Staff Engineer Guidance Navigation Control
$169,000–$253,600 year
On-sitePlymouth, Minnesota, United States
Job Summary
Design, develop, implement, verify, and test algorithms and software tools for guidance, navigation, and control of aircraft, spacecraft, submersibles, surface ships, missiles, launch vehicles, and upper stages during powered and coast phases. Formulate equations to achieve desired position, orientation, or orbit in space and develop control laws and hardware/software requirements for these platforms. Perform statistical processing of measured data points and reconcile test performance predictions with field test data using first principles and modern state space methods. This role supports the Armament Systems site in Plymouth, MN, developing precision strike weapons and survivability solutions for combat platforms.
Required Qualifications
- U.S. Citizenship
- Ability to obtain a DoD Secret Security Clearance
- Bachelor of Science degree in Electrical, Mechanical, Aerospace, Systems Engineering or a closely related STEM discipline
- 12 years of relevant experience
- Master of Science degree in engineering discipline or closely related field of study plus 10 years of relevant experience
- Ph.D. in engineering discipline or closely related field of study plus 8 years of relevant experience
- Experience in model development
- Requirements definition
- GNC algorithm analysis and synthesis
- Familiarity with both modern and classical control design techniques
- Minimum years' experience depends on education level
Desired Qualifications
- Hardware, field test and Defense/Aerospace domain experience is a plus
- Using first principles to develop math models of physical systems
- Classical methods for analysis and synthesis of control algorithms
- Modern (state space) methods for analysis and synthesis of control algorithms
- Optimal control techniques
- Working experience with guidance algorithms
- Proficiency with MATLAB/Simulink software tools and related toolboxes
- Implementation of control/navigation algorithms in a real hardware application system
- Test performance predictions and test data reconciliation
- Model reduction techniques
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