Here are some of the EXCITING things you'll get to do: Design and implement real-time control algorithms for appliance subsystems (thermal, fluidic, and electromechanical) Work directly with pumps, heaters, boilers, AC/DC, and stepper motors, and their drivers Interface with low-cost sensors (temperature, flow, pressure, torque, etc.) and implement signal processing, filtering, and estimation techniques (e.g., Kalman filters, etc.) Apply classical control methods (frequency response analysis, PID design, and tuning) to achieve stability and robustness in systems with significant delays and nonlinearities Rapidly build and iterate prototypes and test rigs to validate algorithms in real hardware environments Collect and analyze experimental data to identify system dynamics and optimize performance Collaborate with cross-functional teams to develop system design, software architecture, and bring control algorithms from concept to embedded deployment. Preferred/Bonus Qualifications: Experience with MATLAB/Simulink for system modeling, state-space control, and model-based design (including Simulink Coder/code generation) Background in system identification, including real-time or machine-learning-based modeling Knowledge of nonlinear optimization algorithms suitable for low-compute, embedded environments Familiarity with TinyML, CMSIS libraries, or other embedded ML frameworks Experience with embedded system architecture and designing control software frameworks.