Research Engineer

The FarmsLab Team within the Biological and Agricultural Engineering Department ( ) at Kansas State University is accepting applications for Research Engineer positions, which will provide technical leadership in computer vision and AI for Agricultural Automation and autonomy for mobile vehicle systems. The position will be part of the Institute for Digital Agriculture and Advanced Analytics ( id3a). The KSU FarmsLab Team ( ) comprises graduate students and professional staff working on federal, commodity boards and industry partners. The team works closely with agricultural industry partners to develop innovative technology solutions for digital agriculture. The candidate will be expected to engage in multiple projects with moderate oversight and will be responsible for planning the timeline and lifecycle of the project for timely completion.

This position offers a dynamic and inclusive work environment, ideal for detail-oriented and organized individuals who thrive in a collaborative team setting. The FarmsLab Team provides abundant opportunities for career growth and technical development while fostering a culture of professionalism, confidentiality and ethical excellence. Join us in driving innovation and excellence in digital agriculture.

Worksite Option

This position is on-site.

Employee must have availability to be on campus for routine and scheduled meetings frequently during the work week.

An employee who is working remotely must reside within the United States in order to comply with all federal and state laws, filings, or tax requirements. Remote work agreements are required for all flexible work arrangements and are subject to review. Review K-State’s remote work policy details for more information.

Minimum Qualifications

What You’ll Need to Succeed

• Requires a bachelor’s degree and one year of relevant experience

Preferred Qualifications

• MS in Data Analytics or MS in Computer Science, Agricultural Engineering, Electrical Engineering, or a similar field
• Hands-on experience with Python, C++, and ROS2
• Proficiency in Nvidia systems and deploying machine learning models on hardware
• Strong background in data presentation through dashboards, statistical analysis, and machine learning for solving engineering and agricultural problems
• Experience with sensors, automation, and robotics for large-scale systems
• Skilled in building user-friendly dashboards for real-time and post-analysis data presentation, making complex machine learning outputs accessible to stakeholders
• Exposure to statistical analysis and high-performance computing techniques to process and analyze large-scale data efficiently

Other Requirements

• Demonstrate the ability to work independently
• Completes projects within a specified timeline
• Communicates effectively and provides technical leadership
• Ensures a safe working environment
• Possesses excellent communication and organizational skills and has a detail-oriented personality
• Is a motivated self-starter
• Possesses the ability to conduct, document, and communicate research methods and results in the area of software development for computer vision, data science, automation, or robotic systems
• Brings experience in designing and deploying machine learning dashboards to visualize results

How to Apply

Please Submit The Following Documents

• Resume

Screening of Applications Begins

Immediately and continues until position is filled.

Anticipated Hiring Pay Range

$75,000 to $95,000