This control systems engineer is responsible for state estimation required for our torque vectoring and autonomous system algorithms. The estimations aim to accurately determine vehicle states 400 times every second, using more than 100 sensors on the car. With changes being made this year the position offers the challenge of merging the previously divided torque vectoring and autonomous systems state estimation into one viable solution for both systems. As a state estimation engineer, you will gain experience with processing raw data from a race car into usable estimations for real life control systems. You will get an insight into control systems and how state estimation effects it. In addition, you will learn how to evaluate and validate your estimators using real life data.