Computer Vision Engineer

Computer Vision Engineer

Date: Sep 15, 2026

Req ID: 104558

Location:

Tremont, IL, US

Brand: PTx

Workplace Type: Onsite

Employment Duration: Permanent

Job Summary

PTx is seeking a highly motivated Computer Vision Engineer to join our product development team to help farmers across the world. In this role, you will be developing and optimizing computer vision software and systems, including advanced image sensing and edge-deployed artificial intelligence as a part of our next generation of on-equipment and in-field products.

Responsibilities & Impact

The Computer Vision Engineer will include computer vision algorithm research and development, data analysis, optics optimization, programming, and opportunity to test, verify, and experience your product in real world field conditions with customers. Working with a vibrant team, you will be challenged in the best ways while working alongside some of the most seasoned and capable people in the field. You’ll get the opportunity to apply classical computer vision techniques as well as machine learning based detection and classification for real-time edge embedded electronics for agriculture technology related product development.

Required Experience & Qualifications

• Bachelor’s degree in Computer Science/Computer Engineering/Electrical Engineering or other Engineering with equivalent experience.

• Proficiency in C++, and Python (OpenCV, Numpy, Matplotlib, etc)

• Proven ability to cross-compile and optimize modern C++ / Python computer-vision code on embedded Linux devices, preferably on the NVIDIA Jetson platform

• Familiarity or experience with ML packages (Sklearn, TensorFlow, PyTorch, etc)

• Hands-on experience configuring BSPs, customizing kernels, and building/maintaining Yocto images, with solid understanding of board level interfaces (camera, CAN, I²C, SPI, GPIO) and in-field flashing and update processes.

• Familiarity or experience with Computer Vision concepts such as camera calibration, lens-distortion correction, feature extraction/matching, optical flow and multi-frame tracking.

• Ability to work independently and high attention to detail

• Strong communication skills and experience being a flexible team player

• Passion and tenacity to solve difficult problems in a highly functioning, fast paced team environment

• Must be authorized to work in the U.S.

Desired Experience & Qualifications

• 3+ years developing algorithms and product solutions through

• software and embedded systems design

• 3+ years of software development experience in C++, C, or Python

• Experience developing computer vision and/or machine learning based systems and solutions

Your Benefits

• Health care and wellness plans

• Dental and vision plans

• 401(k) Savings Plan with company match

• Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price

• Paid holidays and paid time off

• Health savings and flexible spending accounts

• Reimbursement for continuing education

• Life insurance and other supplemental insurance plans

Your Compensation

This position offers a base salary range of $111,000 – 205,000, with final compensation determined based on experience, skills, and qualifications. This role is also eligible for a target annual bonus eligibility of 15% of base salary, as part of AGCO’s total rewards program.

Your Workplace

This role follows AGCO’s on site work model, primarily working from the Tremont, IL location 4 days per week to support collaboration and teamwork.

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.

Join our extraordinary team today and apply now!

AGCO is proud to be an Equal Opportunity Employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Solutions for Every Season

We engineer and deliver precision ag hardware, software, and cloud based platforms that connect every corner of the farm.