Part-Time AI & Robotics Engineer (Student)

John Deere GmbH & Co. KG; Urbandale (IA); On-site; USD 21,000 - 55,000; Part time

Benefits offered by this job

Healthcare benefits

401K and pension

Tuition assistance

On-site gyms

Job summary

John Deere in Urbandale, IA, seeks a Part-Time Student to design, develop, and optimize robotics, perception, and AI technologies for automation on John Deere products. You will produce production-quality software for real-time edge platforms and explore computer vision and ML methods using diverse sensor data.

Ideal candidates are pursuing CS, robotics, or engineering degrees, with Python/C++ skills, ML framework experience (PyTorch/TensorFlow), and OpenCV.

Qualifications

• Pursuing a degree in CS, robotics, EE, ML, data science, or math; all levels considered.
• Strong Python and/or C++ programming skills.
• Experience with PyTorch or TensorFlow and OpenCV.
• Must be a full-time student in a U.S. university and available 16–20 hrs/wk during academic year and 30–40 hrs in summer.
• Graduation date May 2027 or later.

Responsibilities

• Design, develop, and optimize robotics, perception, and AI for automation.
• Develop production-quality software for real-time edge devices.
• Research and evaluate CV/ML algorithms for perception and decision systems.
• Develop and train multi-modal AI models using diverse sensor data.
• Collaborate with CVML, robotics, software, systems, and product teams to integrate perception capabilities.

Skills

Python/C++ programming

PyTorch/TensorFlow

OpenCV

ML fundamentals

Real-world data

Communication

Independent work

Graduation 2027

Education

Bachelors/Masters/PhD

Tools

OpenCV

Job description

John Deere in Urbandale, IA, seeks a Part-Time Student to design, develop, and optimize robotics, perception, and AI technologies for automation on John Deere products. You will produce production-quality software for real-time edge platforms and explore computer vision and ML methods using diverse sensor data.

Ideal candidates are pursuing CS, robotics, or engineering degrees, with Python/C++ skills, ML framework experience (PyTorch/TensorFlow), and OpenCV.