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Join our core development team this summer to revolutionize the agriculture industry by building high-impact guidance, navigation, and control systems. In this role, you will work on real-world automation for massive machinery, transforming how the world produces food through advanced sensor fusion and vehicle dynamics modeling in a high-energy, collaborative environment. Move beyond theory by deploying and profiling algorithm performance on real-time hardware, giving you the unique opportunity to see your mathematical models drive actual agricultural vehicles in the field.
Job Responsibility
Design, develop, and productize state estimation and control algorithms for autonomous vehicle steering
Utilize Matlab/Simulink and model-based design to build complex navigation systems
Apply sensor fusion and filter design, such as EKF and UKF, for precision odometry and pose estimation
Develop and validate non-linear vehicle dynamics plant models to simulate real-world performance
Collaborate with the core engineering team to define system architecture and foster product quality through rigorous testing.
Requirements
Experience in GNC algorithm development for dynamic physical systems or ground vehicles
Proficiency in Matlab, Simulink, C/C++, or Python
Understanding of the C/C++ compilation process and algorithm validation
Strong skills in data analysis and visualization
Must be legally authorized to work in New Zealand.
Nice to have
Practical experience with agricultural machinery or GNSS+IMU based navigation
Knowledge of HIL/SIL testing, machine learning concepts, or Robotics Toolboxes
Pursuing an advanced degree in a related engineering field.