logo

Hays

Computer Vision Engineer

Department
Engineering
Job Type / Location
onsite
Experience Required
0+ years
Posted On

Your new company

Semiconductor industry

Your new role

  • Design and optimize vision algorithms for defect detection, feature recognition, and semiconductor automation processes.
  • Develop deep learning-based models for high-speed, high-accuracy inspection to improve manufacturing efficiency.
  • Integrate vision systems with robotics and backend semiconductor equipment for seamless automation workflows.
  • Enhance image processing techniques for pattern recognition, object tracking, and real-time quality inspection.
  • Collaborate cross-functionally to validate models, analyze data, and optimize vision system performance standards.

What you'll need to succeed

  • Bachelor’s degree in Computer Science, or related fields.
  • Strong expertise in computer vision, image processing, machine learning, and deep learning models for vision tasks.
  • Proficiency in Python, C++, OpenCV, TensorFlow, PyTorch; familiarity with real-time processing and hardware acceleration.
  • Knowledge of semiconductor automation, optical inspection, metrology, and strong analytical, problem-solving, communication skills.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

  • Structured career growth and plenty of developmental opportunities
  • Stable working environment

View Assessment Process

Think you'll be a good fit?