AI Vision Engineer - Advanced Manufacturing Automation

Denso; Maryville, Northern (TN, KY); Hybrid; USD 96,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental, Vision Plans

401K with 4% Company Match

Vacation/PTO and 13 Paid Holidays

Bonus Program

Career Development and OngoingTraining

Job summary

Denso is seeking an experienced engineer to design, develop, and deploy AI-based vision systems for North American manufacturing and assembly processes. You will collaborate with mechanical, electrical, and software teams to integrate vision solutions into automation equipment and to test production-readiness across the NA region.

The role requires strong ML/vision expertise, proficiency in Python and C++, and hands-on experience with VisionPro, OpenCV, TensorFlow, and PyTorch.

Qualifications

• Bachelor's degree in Electrical or Mechanical engineering, Computer Science, Robotics, or related field with 3+ years of relevant experience.
• Proven experience in developing and deploying AI-based vision systems in industrial/manufacturing settings.
• Strong background in machine learning, computer vision, and image processing techniques.
• Experience with machine vision hardware and software tools (cameras, lighting, VisionPro, OpenCV, TensorFlow, PyTorch).

Responsibilities

• Design, develop, and deploy AI-based vision systems for manufacturing/automation applications.
• Collaborate with engineering teams to integrate vision systems with automation equipment.
• Develop algorithms for object detection, classification, and defect recognition.

Skills

Python

C++

Deep learning frameworks

Education

Bachelor's degree in Electrical or Mechanical engineering, Computer Science, Robotics, or related field

Tools

VisionPro

OpenCV

TensorFlow

PyTorch

Job description

Denso is seeking an experienced engineer to design, develop, and deploy AI-based vision systems for North American manufacturing and assembly processes. You will collaborate with mechanical, electrical, and software teams to integrate vision solutions into automation equipment and to test production-readiness across the NA region.

The role requires strong ML/vision expertise, proficiency in Python and C++, and hands-on experience with VisionPro, OpenCV, TensorFlow, and PyTorch.