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You will develop algorithms for the autonomy stack, enhancing the capabilities of automated tractors and addressing challenges in agricultural settings. Responsibilities include system architecture, sensor calibration, implementing autonomy metrics, and writing efficient, well-tested software.

As a Planning Engineer, you will develop algorithms for safe vehicle navigation around obstacles, focusing on route generation in agricultural environments. Responsibilities include enhancing planning and routing stacks, predicting dynamic obstacle behavior, and architecting software applications for robotics. You will collaborate closely with a team, ensuring high-quality software through testing and code reviews.

As a Perception / Machine Learning Engineer, you will apply advanced ML techniques to enhance the perception capabilities of autonomous tractors. Your role includes architecting deep learning models, optimizing them for low-latency on embedded systems, and collaborating with cross-functional teams to ensure effective deployment in rugged agricultural environments.