Control System Engineer

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The Integrated Power System's unit within Submarine Programs is seeking a highly skilled control system engineer with expertise in designing, implementing, and optimizing control systems for complex dynamic systems that integrate coupled mechanical‑electric‑fluid dynamic disciplines. This role requires strong foundations in control theory, modeling & simulation, and real‑time implementation. The engineer will collaborate with multidisciplinary teams to design control strategies, validate performance, and support integration into hardware or embedded environments.

The position requires a balance of theoretical knowledge, practical hands‑on skills, and the ability to collaborate with engineers from diverse technical backgrounds. The work location for this position is full‑time at the Knolls site.

• Develop advanced feedback and feed forward control solutions using adaptive, nonlinear, robust, and optimal control methods for coupled mechanical‑electric‑fluid dynamic systems.
• Build and validate dynamic system models; performing system identification when required.
• Lead the system integration of components such as actuators, sensors, and real‑time processing for distributed control platforms.
• Conduct stability, performance, and robustness analyses using modern control techniques.
• Implement real?time control algorithms on embedded platforms, microcontrollers or DSPs.
• Perform simulation, verification, and validation using MATLAB/Simulink or equivalent tools.
• Support hardware?in?the?loop testing, data acquisition, and tuning of controllers.
• Collaborate with electrical, mechanical, software, and systems engineering teams.
• Troubleshoot system behavior and optimize control performance during integration and testing.
• Document models, design decisions, test results, and control strategies clearly and accurately.

• Bachelors degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 6 years of relevant experience; or
• Masters degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 4 years of relevant experience; or
• Doctorate degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 1 year of relevant experience.

• Academic background featuring a concentration, track, or elective sequence in control systems.
• Relevant experience with advanced control methods such as adaptive control (e.g., Filtered-X LMS), optimal control (LQR, MPC), robust control, or nonlinear control.
• Relevant experience with system modeling & simulation tools such as MATLAB/Simulink, Simscape, or similar platforms.
• Relevant experience with real?time control implementation on embedded systems using MATLAB/Simulink environments.
• Experience with HIL systems, digital twins, or real?time simulation platforms.
• Familiarity with optimization techniques and advanced estimation methods.
• Background in robotics, electromechanical systems, power systems, propulsion, or automation.
• Knowledge of machine learning or reinforcement learning applied to control systems.
• Experience with data acquisition, sensor/actuator interfacing, and lab testing environments