Engineering LANSING Direct Hire Aug 24, 2026 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.