Senior Vision Automation Engineer -1531

Control System Integrators; Lansing (MI); On-site; USD 95,000 - 150,000; Full time

Job summary

Control System Integrators is seeking an experienced machine-vision engineer to lead end-to-end design, development, testing, and commissioning of industrial vision systems. You will review requirements, propose architectures, and select cameras, lighting, and optics while coordinating with customers and teams.

Expect travel to customer sites for installation and support. The role requires 5+ years in machine vision or related fields, strong optics knowledge, and hands-on experience with 2D/3D

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, Robotics, Physics, Optical Engineering, or related field.
• 5+ years of professional experience in machine vision, industrial automation, robotics, computer vision, or related field.
• Proven ability to independently develop and commission machine-vision systems.
• Strong understanding of digital imaging, optics, and machine-vision fundamentals.
• Experience selecting and configuring industrial cameras, lenses, lighting, sensors, and related vision hardware.
• Experience integrating machine-vision systems with PLCs, robots, HMIs, motion systems, or other equipment.
• Willingness to travel to customer facilities for testing, installation, and production support.

Responsibilities

• Lead design, development, testing, integration, and commissioning of machine-vision applications.
• Review requirements and determine feasibility, risks, and inspection methodology.
• Define system architecture and select cameras, lighting, optics, and computing hardware.
• Perform optical calculations for FOV, resolution, depth of field, and lighting.
• Develop and validate 2D/3D inspections using vision platforms or libraries.
• Plan feasibility studies and define operating limits of proposed methods.
• Diagnose and resolve issues across optics, lighting, software, and hardware.
• Lead debugging, runoff, installation, commissioning, and production launch.
• Communicate with customers and internal teams on performance, risks, and changes.
• Travel to customer facilities for testing, installation, and support.

Skills

Machine vision

Industrial automation

Robotics

Computer vision

Image processing

Optics fundamentals

Camera selection

Lighting techniques

3D vision

System integration

Troubleshooting

Education

Bachelor’s degree in Electrical Engineering

Tools

Zebra Aurora Vision Studio

Cognex VisionPro

Keyence

HALCON

Job description

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.

Qualifications

• 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 VisionPro, Keyence, HALCON, or similar machine-vision platforms.

Preferred

• 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.