Associate or Mid-Level Controls Engineer at Boeing focused on developing advanced control algorithms. Working with world-class telescopes and systems for Space Domain Awareness at Kirtland AFB.
Responsibilities
Develop high-fidelity mathematical models of dynamic systems (e.g., mechanical, electrical, thermal processes) using first-principles physics and empirical system identification techniques
Analyze system behavior, including stability, linearity, and transient/steady-state responses
Design, develop, and implement advanced control strategies
Conduct extensive simulations to verify algorithm performance, stability, and robustness under various operating conditions and disturbances
Develop and execute Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) tests for algorithm validation
Perform rigorous tuning and optimization of control parameters to achieve desired system performance metrics (e.g., accuracy, speed, response time, energy efficiency, disturbance rejection)
Analyze data from real-world systems to refine and improve control algorithms
Create detailed control system design specifications, mathematical derivations, simulation reports, and validation plans
Requirements
Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
1+ years with MATLAB and Simulink (including toolboxes like Control System Toolbox, MPC Toolbox, Optimization Toolbox, Simscape, Stateflow)
Must be willing to work variable shifts; including day, evening, night, and weekends
3+ years of related work experience or an equivalent combination of education and experience (preferred)
Active U.S. Top Secret/SCI security clearance (preferred)
3+ years in at least one relevant programming language (e.g., C/C++, Python) for algorithm implementation or data analysis (preferred)
3+ years of professional experience in designing, modeling, and implementing advanced control algorithms for dynamic systems (preferred)
Experience with at least two or more advanced control techniques (e.g., MPC, LQR, robust control, adaptive control) (preferred)
Background in developing robust control systems for telescopes, addressing challenges in pointing accuracy, vibration suppression, and thermal stability (preferred)
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