Vision Systems Engineer

Vision Systems Engineer

Coilcraft is a successful, privately-held company in Cary, IL with a worldwide reputation for high-quality passive electronic components. Coilcraft operates in a wide range of industries, including telecommunications, computers, automotive, broadband communications, and consumer electronics. We are seeking a Vision Systems Engineer to join our team.

Responsibilities:

• Design and develop vision systems for a wide range of applications, including object detection, recognition, tracking, and image analysis.
• Collaborate with cross-functional teams to define system requirements and specifications for vision-based projects.
• Implement and optimize computer vision algorithms and models.
• Integrate vision systems into existing products or develop standalone vision solutions, considering hardware and software constraints.
• Conduct thorough testing and validation of vision systems to ensure accuracy, robustness, and reliability.
• Troubleshoot and debug vision system issues, analyzing data and proposing effective solutions.
• Collaborate with hardware engineers to select appropriate sensors, cameras, and other vision-related components.
• Create detailed documentation, including system architecture, specifications, user manuals, and technical reports.
• Stay abreast of industry trends and emerging technologies, actively contributing to the continuous improvement of vision system engineering practices within the organization.

Qualifications:

• Bachelor's Computer Science, Electrical Engineering, or a related field.
• Proven experience in computer vision development, including object detection, tracking, and image analysis.
• Proficiency in programming languages such as Python, C++, or MATLAB is preferred but not required.
• Strong understanding of computer vision algorithms and techniques, including deep learning and convolutional neural networks.
• Familiarity with hardware components used in vision systems, such as cameras, sensors, and lenses.
• Solid knowledge of image processing techniques and related tools.

Equal Opportunity Employer: disability/veteran