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Part-Time Student - Product Engineering - Robotics Champaign, IL

John Deere

Champaign, IAPart TimeEntry
Sign in to applyVerified
Location
Champaign, IA
Employment
Part Time
Work model
On-Site
Level
Entry
Posted

Skills

Computer VisionGitMachine LearningPower BIPythonTableau

About this role

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.   John Deere is an equal opportunity employer, including disabled & veterans.    Primary Location: United States (US) - Iowa  - Champaign   Function: Product Engineering (CA) Title: Part-Time Student - Product Engineering - Robotics Champaign, IL - 125012  Onsite/Remote: Onsite Position   Note: Relocation assistance is not provided.   The Part-Time Student Program is primarily designed to augment the Company’s regular full-time staff and is for students who work in parallel to their school schedule YEAR-ROUND . Your Responsibilities

As a  Part Time Student  for  John Deere  located in Champaign , IL , supporting research in conjunction with the University of Illinois, you will:

Support the development and evaluation of technologies that will enable automation and autonomy solutions for John Deere products.  Analyze image, video, GPS, machine telemetry, and sensor data collected from field operations.  Assist in creating and maintaining datasets used for computer vision and machine learning model development.  Support data annotation, quality assurance, and validation efforts for perception and analytics projects.  Develop software tools and scripts to automate data processing, visualization, and reporting workflows.  Evaluate model and algorithm performance using field-collected data and benchmark datasets.  Assist with field testing activities, including equipment setup, data collection, troubleshooting, and post-test analysis.  Create technical documentation, reports, and presentations to communicate project findings and recommendations.  Collaborate with robotics, computer vision, software, and product engineering teams to improve tillage performance solutions.  Support research and prototyping efforts related to machine perception, agricultural automation, and precision agriculture technologies.

This position is not available to students on immigration visas What Skills You Need

Pursuing a Bachelor's or Master's degree in Agricultural Engineering, Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Data Science, or a related technical field. 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 (15-20 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 Champaign,IL  on a daily basis. NOTE: Relocation assistance is not provided. What Makes You Stand Out

Experience working with agricultural equipment, field research, or precision agriculture technologies.   Experience analyzing GPS, CAN, IMU, or machine telemetry data.   Experience creating dashboards and data visualizations using Power BI, Tableau, Python, or similar tools.   Familiarity with Git, software development workflows, and version control.   Hands-on experience with data collection systems, cameras, sensors, or

Listing verified . Applications go through the company's official careers site.

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