• Design, develop, and optimize robotics, perception, and AI technologies that enable automation and autonomy solutions for John Deere products.

• Develop production-quality software and algorithms for deployment on real-time edge-compute platforms.

• Research, develop, and evaluate computer vision, machine learning, and deep learning algorithms for perception and decision-making systems.

• Develop and train multi-modal AI models using camera imagery, machine telemetry, CAN signals, and other sensor data.

• Develop synthetic data generation and simulation workflows to improve model robustness and reduce data collection costs.

• Collaborate with CVML, robotics, software, systems, and product engineering teams to integrate perception capabilities into John Deere platforms. 

What Skills You Need

• Pursuing a Bachelor's, Master's, or PhD degree in: Computer Science, Robotics, Computer Engineering, Electrical Engineering, Machine Learning/Artificial Intelligence, Data Science, Applied Mathematics; other fields may apply.

• Strong programming skills in Python and/or C++.

• Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.

• Experience with computer vision libraries such as OpenCV.

• Understanding of machine learning fundamentals, neural networks, and model development workflows.

• Experience working with real-world data through academic projects, internships, research, or personal projects.

• Strong communication and collaboration skills.

• Ability to work independently while contributing effectively within a multidisciplinary team. 

• Graduation date of May 2027 or later.

• Available to work during the academic year (16-20 hours weekly).

• Available to work during the summer semester (30-40 hours weekly).

• Must be registered as a full-time student at a U.S/local accredited university/college

• Cumulative GPA of 2.8 or above.

• Must be able to commute to the work location in Urbandale,IA  on a daily basis. NOTE: Relocation assistance is not provided.

What Makes You Stand Out

• Hands-on experience developing computer vision, machine learning, perception, or robotics solutions.

• Experience with foundation models, generative AI, large vision-language models, or multimodal learning.

• Experience with 3D perception, structure-from-motion, neural rendering, Gaussian Splatting, NeRFs, SLAM, or mapping technologies.

• Strong mathematical background in linear algebra, probability, optimization, and statistics.

• Passion for innovation, autonomous systems, robotics, and solving real-world customer problems.