As an Autonomy Systems Engineer at Moonrider, you will play a crucial role in developing cutting-edge technologies for autonomous tractors that revolutionize farming practices. You will be responsible for working on perception, control, localization, and motion planning for our autonomous tractors, enabling them to navigate fields safely, detect crops/rows, avoid obstacles, and plan optimal paths. Your work will involve integrating AI, robotics, and advanced vehicle systems to create a new era of electric, autonomous tractors. **Key Responsibilities:** - Develop computer vision algorithms for stereo cameras, lane/row detection, and obstacle recognition. - Design and implement control algorithms (PID/LQR) for path tracking, steering, throttle, and autopilot loops. - Implement sensor fusion and localization algorithms combining GPS/INS, LiDAR, and vision data. - Develop motion planning and trajectory generation for autonomous navigation, including headland turns and boundary-based path planning. - Integrate autonomy software using ROS2 / middleware frameworks and ensure real-time performance on embedded systems. - Collect, process, and manage large-scale field data for testing, validation, and ML training. - Collaborate closely with vehicle systems, electronics, and test teams to deploy autonomous features on prototype tractors. **Qualifications & Skills:** - B.Tech / M.Tech / PhD in Robotics, Computer Science, Electrical/Electronics, Mechanical, or related field. - Strong experience in computer vision (OpenCV, Pytorch/TensorFlow) and perception algorithms. - Hands-on with control theory and trajectory tracking algorithms (PID, LQR, MPC is a plus). - Experience with sensor fusion (Kalman filters, GPS/INS integration, LiDAR/vision fusion). - Knowledge of motion planning algorithms and path optimization for autonomous vehicles. - Proficiency with ROS2 or other middleware for robotics/autonomous systems. - Strong programming skills in C++ and Python, experience with real-time systems a plus. - Familiarity with data pipelines, logging, and processing large datasets. - Ability to work in a fast-paced startup environment, multitasking across perception, control, and planning. At Moonrider, you will have the opportunity to be part of the first smart autonomous electric tractor startup in India. You will collaborate with a multidisciplinary team of robotics, AI, and vehicle engineers and work on building real-world autonomous systems from prototype to pilot fleets. Additionally, you will enjoy competitive compensation, equity options, and a flexible work environment. Join us in shaping the future of farming technology at Moonrider.,