Control Systems / Motor Control Engineering Intern
Job TypeInternshipDescriptionQuantic BEI | Aerospace & Defense TechnologyQuantic BEI is seeking a highly motivated Control Systems Engineering Intern to support development of precision electromechanical systems operating in extreme environments. This role focuses on control theory, motor control, and advanced embedded implementation for mission-critical aerospace and defense applications.We are especially interested in candidates pursuing or currently enrolled in a Master’s or PhD program with strong controls background.What You’ll DoSupport firmware development for real-time embedded motor controlDevelop and implement motor control algorithms (FOC, PID, state-space, etc.)Model electromechanical systems and design control loopsAssist with hardware bring-up, tuning, and performance optimizationAnalyze system stability, bandwidth, noise, and disturbance rejectionConduct lab testing using oscilloscopes, current probes, DAQ systems, etc. Document models, control strategies, and test resultsWhat You’ll GainHands-on experience developing precision control systems for aerospace and defenseExposure to high-performance electromechanical system designMentorship from experienced controls and embedded engineersOpportunity to work on mission-critical hardwarePotential pathway to full-time opportunitiesIf you’re passionate about applying advanced control theory to real hardware, we’d love to connect.RequirementsWhat We’re Looking ForCurrently pursuing a MS or PhD (preferred) in Electrical Engineering, Controls, Robotics, or related fieldStrong foundation in control theoryHands-on experience with motor control (BLDC, PMSM, stepper, servo, etc.)Experience implementing control algorithms in C/C++ or similarComfort with MATLAB/Simulink or similar modeling toolsStrong analytical and problem-solving skillsBonus ExperienceField-Oriented Control (FOC) implementationReal-time systems or RTOS experienceExperience with STM32 or similar motor-control platformsState estimation (Kalman filters, observers)System identification and frequency-domain analysisFPGA-based control implementation