Agtonomy is transforming how vital industries get work done by turning heavy machinery into intelligent, autonomous systems to address labor shortages, environmental strain, and inefficiencies in agriculture, turf, and beyond.
Requirements
- Experience with motion planning techniques (e.g., sampling, graph search, optimization).
- Experience effectively implementing math (geometry, linear algebra, etc.) in software in order to solve problems related to geometric reasoning, optimization costs/jacobians, and vehicle motion modeling.
- Proficiency in modern C++ for resource-constrained systems.
- Experience designing motion planning or routing systems from first principles.
- Excitement to implement computational geometry algorithms.
- 5+ years in robotics, autonomy, or related fields (e.g., automotive, drones, agtech).
Responsibilities
- Design and implement motion planning features for safe navigation in complex settings.
- Use sampling-based methods, graph search, or numerical optimization to create efficient trajectories.
- Develop scalable software and tools for onboard/offboard autonomy systems.
- Develop portable, scalable, and fast geometry and optimization libraries.
- Write high-performance C++ code for embedded systems and ensure quality through code reviews.
- Test your algorithms on real robots in rugged field environments—see your code come to life!
Other
- Ability to thrive in a collaborative, fast-paced team with high ownership.
- Strong communication and problem-solving skills for cross-team work.
- An eagerness to get your hands dirty by testing your code on real robots in real fields.
- Passion for sustainable agriculture or environmental tech.
