TAMKO Building Products LLC is seeking to enable high-quality imaging for automated inspection by designing, implementing, and tuning the hardware foundation of computer and machine vision systems
Requirements
- Hands-on expertise with machine vision cameras, lenses, filters, and lighting equipment
- Familiarity with illumination design techniques for reflective, textured, or curved surfaces
- Proficiency in SolidWorks or other engineering drawing software for producing precise system documentation
- Mechanical engineering skills for designing mounts, fixtures, and enclosures in brownfield environments
- Experience deploying and tuning camera and lighting solutions in industrial or manufacturing environments
- Strong understanding of imaging principles, optics, and sensor characteristics
- Ability to work collaboratively with software engineers and data scientists to align imaging hardware with machine learning requirements
Responsibilities
- Design and configure camera, lens, filter, and lighting setups to achieve robust imaging for manufacturing inspection tasks
- Conduct illumination analysis to maximize feature visibility and minimize image artifacts, using advanced techniques (e.g., backlights, dome lights, ring lights)
- Select and validate cameras and image sensors (CMOS, CCD) tailored to resolution, sensitivity, and speed requirements
- Design mechanical mounts, brackets, and enclosures for cameras, lenses, and lighting to ensure stable, repeatable imaging performance in a brownfield manufacturing environment
- Create engineering-exact documents, layouts, and schematics using SolidWorks or comparable engineering drawing software
- Diagnose, troubleshoot, and optimize system performance by addressing issues such as inconsistent lighting, improper focus, or sensor misconfiguration
- Develop and maintain automated systems to monitor camera and lighting performance, with defined thresholds and alerts to ensure timely corrective action and sustained peak performance
Other
- Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Optical Engineering, Physics, Computer Vision, or related fields with a minimum of 3 years of relevant industrial experience
- Ability to work collaboratively with software engineers and data scientists
- Ability to coordinate and manage contractors for installation and fabrication of vision hardware solutions
- Project management experience, including scoping and execution of hardware deployments
- Up to 50% travel for scoping, installing, and commissioning systems across manufacturing facilities
