Senior Vision Automation Engineer

Responsibilities

• Lead the design, development, testing, integration, and commissioning of industrial machine-vision applications.
• Review customer requirements and determine the technical feasibility, risks, limitations, and appropriate inspection methodology for machine-vision applications.
• Define machine-vision system architecture and select appropriate cameras, lenses, lighting, filters, 3D sensors, computing hardware, and related equipment.
• Perform optical calculations and determine appropriate field of view, resolution, working distance, depth of field, exposure, and lighting requirements.
• Develop, optimize, and validate 2D and 3D machine-vision inspections using commercial vision platforms and/or image-processing libraries.
• Develop inspection solutions involving image acquisition, preprocessing, feature extraction, measurement, pattern matching, segmentation, surface inspection, and defect detection.
• Plan and perform laboratory feasibility studies using representative production samples and define the operating limitations of proposed inspection methods.
• Diagnose and resolve complex issues involving optics, lighting, image processing, software, networking, electrical systems, mechanical conditions, timing, vibration, and automation interfaces.
• Lead machine debugging, runoff, installation, commissioning, and production-launch activities related to machine vision.
• Communicate directly with customers and internal project teams regarding inspection performance, technical risks, application limitations, required changes, and project status.
• Travel to customer manufacturing facilities as required for testing, installation, debugging, runoff, commissioning, and production support.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, Robotics, Physics, Optical Engineering, or a related technical discipline; or equivalent relevant professional experience.
• 5+ years of professional experience in machine vision, industrial automation, robotics, computer vision, or a closely related technical field.
• Demonstrated ability to independently develop and commission industrial machine-vision systems.
• Strong understanding of digital imaging, optics, and machine-vision fundamentals, including resolution, exposure, focus, field of view, working distance, depth of field, contrast, sensor characteristics, and image formation.
• Strong understanding of machine-vision lighting techniques and their application to diffuse, textured, reflective, and difficult-to-image surfaces.
• Experience selecting and configuring industrial cameras, lenses, lighting, filters, sensors, and related vision hardware.
• Experience developing 2D and/or 3D inspection applications using commercial machine-vision platforms or image-processing libraries.
• Experience integrating machine-vision systems with PLCs, robots, HMIs, motion systems, or other industrial automation equipment.
• Strong analytical and troubleshooting skills with the ability to identify root causes across optical, software, electrical, networking, and mechanical systems.
• Ability to independently perform technical feasibility evaluations and communicate application limitations and risks.
• Strong written and verbal communication skills, including the ability to communicate technical issues with customers and multidisciplinary engineering teams.
• Willingness to travel to customer manufacturing facilities and support equipment installation, testing, runoff, commissioning, and production launch.
• Experience with Zebra Aurora Vision Studio, Cognex Vision Pro, Keyence, HALCON, or similar machine-vision platforms
  .

• Experience with advanced imaging techniques such as photometric stereo, polarization, HDR imaging, telecentric optics and similar.
• Experience developing multi-camera or distributed machine-vision systems.
• Experience with deep-learning-based machine-vision inspection.
• Automotive or manufacturing experience.
• A3 Certified Vision Professional (CVP) – Advanced certification.