Design and Analysis Engineer 3

Electro-Optical Systems Control Engineer

We are seeking a highly skilled individual with experience in controls, system modeling, simulation, and performance optimization. This role will support the hardware, firmware, and software development of electro-optical systems. This is a unique opportunity to contribute to advancements in technology using cutting-edge equipment at a historically significant site. This position supports the R&D mission of the Air Force Research Laboratory Optics Division in their advancement of Space Domain Awareness capabilities. The site houses telescope research facilities ranging in size from 0.5m up to 3.5m with advanced optical systems. You will work as part of a multidisciplinary team supporting the development, optimization, and maintenance of control solutions. Starfire Optical Range is a world class research facility with recognized achievements, enabled by the quality, enthusiasm, and dedication of our entire team. Our team consists of engineers and technicians in all disciplines required to plan, design, integrate, and test complex optical, electronic, quantum systems to achieve research objectives.

Position 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, including but not limited to: classical control, modern control, optimal control, robust control, model predictive control, adaptive control and gain scheduling.
• Develop multi-variable control strategies for complex, interconnected systems.
• Utilize industry-standard tools (primarily MATLAB/Simulink) for control system simulation, analysis, and rapid prototyping.
• 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.
• Collaborate closely with software/firmware engineers to translate complex control algorithms into executable code (e.g., C/C++, VHDL) for embedded systems, real-time operating systems (RTOS), or FPGA platforms.
• Provide expert guidance and support during system integration, commissioning, and troubleshooting of control-related issues.
• Create detailed control system design specifications, mathematical derivations, simulation reports, and validation plans.
• Present complex technical concepts and findings clearly to multidisciplinary teams.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Required Skills:

• Active U.S. Top Secret security clearance
• Bachelor of Science degree in Engineering, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
• 4+ years of professional experience in designing, modeling, and implementing advanced control algorithms for dynamic systems
• 4+ years with MATLAB and Simulink (including toolboxes like Control System Toolbox, MPC Toolbox, Optimization Toolbox, Simscape, Stateflow)
• 3+ years in at least one relevant programming language (e.g., C/C++, Python) for algorithm implementation or data analysis
• Must be willing to work variable shifts; including day, evening, night, and weekends

Preferred Skills:

• 9+ years of related work experience or an equivalent combination of education and experience
• Ph.D. in a relevant engineering discipline
• Experience with at least two or more advanced control techniques (e.g., MPC, LQR, robust control, adaptive control)
• Deep theoretical understanding of classical and modern control theory, including state-space methods, frequency response, stability analysis, and robust control concepts
• Strong mathematical foundation, including linear algebra, differential equations, and optimization theory
• Experience with dynamic system modeling and system identification techniques
• Excellent analytical, problem-solving, and critical thinking skills
• Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences
• Experience with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms
• Familiarity with real-time operating systems (RTOS) and embedded control systems development
• Background in developing robust control systems for telescopes, addressing challenges in pointing accuracy, vibration suppression, and thermal stability
• Experience with other simulation tools (e.g., LabVIEW)