Senior Motion Control Optimization Engineer

Experience with optimization-based solutions for guidance, navigation, and control
Familiar with guidance, navigation, and control systems for spacecraft or aircraft (or similar)
Familiar with quaternion kinematics
Experience with Control Moment Gyro systems, including the principles of CMG steering and control laws
Ability to develop robust, modular, maintainable, and testable code in modern languages (Python, C++, Julia, etc) either manually or via auto-coding tools
Experienced in one or more of the following: Advanced techniques for accurate short-term orbit prediction and extrapolation, including propagation, fitting/splining, and smoothing
Optimal motion/trajectory planning for autonomous systems
Software framework for flight control: schedulers, hardware drivers, sensor or actuator processing, fault detection, and state machines for mode control
Demonstrated knowledge of the tools and processes used in developing software for real-time, deterministic, embedded control systems
Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components

Develop, test, and maintain software for optimization of spacecraft mission operations, including steering laws, mission planning optimization, constrained optimization, and optimal trajectory modeling during imaging events.

Experience with pointing architecture or algorithms used on a scanning imaging satellite
Experience with tuning feed-back and feed-ahead control algorithms via Bode, Nichols, Quantitative-feedback Theory (QFT), root locus, or phase-plane or related techniques
Ability to design and implement FIR, discrete-sample-time filters
Familiar with optimal control, MIMO system analysis and state space synthesis techniques
Familiar with advanced distribution laws or inverse kinematics models