B.S. with strong industry experience may be considered 5+ years of full-time industry experience in robotics, autonomous systems, automotive, aerospace, or related engineering fields Experience developing control systems for robotic or autonomous platforms Strong understanding of control theory, dynamic systems, and vehicle/robot dynamics Experience implementing control algorithms such as PID, Model Predictive Control (MPC), Linear Quadratic Regulator (LQR), and trajectory tracking controllers Experience with state estimation techniques (Kalman Filters / Extended Kalman Filters) Experience with robot motion planning including trajectory generation, collision avoidance, and path planning Programming experience in C++ and/or Python, Matlab/Simulink Experience with communication protocols and data interfaces for robotic or vehicle systems (e.g., CAN, Ethernet) and associated logging or instrumentation tools Experience with version control systems (e.g., Git) and collaborative software development workflows Experience working with robot hardware, sensors, and embedded systems Ability to work in a hands-on robotics development and testing environment. Develop and maintain robot motion planning algorithms including trajectory generation, collision avoidance, and path planning Design and implement control algorithms for robotic and vehicle systems (PID control, Model Predictive Control (MPC), Linear Quadratic Regulator (LQR), trajectory tracking controllers) Implement and maintain state estimation methods such as Kalman Filters / Extended Kalman Filters Develop and tune mid-level and low-level vehicle control systems including steering, speed, and trajectory tracking Work closely with perception, localization, and systems teams to integrate planning and control modules Support development of navigation behaviors for autonomous robots operating in real environments Analyze system logs and telemetry data to evaluate and improve performance Participate in robot integration, debugging, and field testing Develop internal tools for testing, validation, and performance analysis Contribute to rapid prototyping and iterative development in a startup environment.