Computer Vision Hardware Engineer; Remote

Computer Vision Hardware Engineer (Remote)

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TAMKO Building Products LLC is seeking a Computer Vision Hardware Engineer. This role is responsible for designing, implementing, and tuning the hardware foundation of computer and machine vision systems—specifically cameras, sensors, optics, and lighting solutions—to enable high-quality imaging for automated inspection. The position is remote with up to 50% travel for scoping, installing, and commissioning systems across manufacturing facilities.

• 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 Solid Works or comparable engineering drawing software.
• Collaborate with PS Vision Engineers, IT controls engineers, and manufacturing plant personnel to ensure seamless integration of hardware and software.
• Manage external contractors and vendors to scope, fabricate, and install cameras, lighting, and mounting solutions.
• Diagnose, troubleshoot, and optimize system performance by addressing issues such as inconsistent lighting, improper focus, or sensor misconfiguration.
• Lead and provide technical support during field installations, commissioning, and optimization of camera and lighting systems.
• Establish hardware configuration standards, documentation, and best practices for repeatable deployments.
• Develop and standardize maintenance schedules for camera and lighting systems to ensure peak performance, and coordinate with manufacturing leadership to drive consistent execution.
• 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.
• Maintain awareness of emerging technologies in imaging hardware and illumination techniques to continually advance system capability.

• 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 (or a high school diploma/GED with a minimum of 8 years of relevant engineering experience).
• 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 Solid Works 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.
• Experience troubleshooting and optimizing vision hardware in field.
• Demonstrated ability to coordinate and manage contractors for installation and fabrication of vision hardware solutions.

• Fabrication or machining experience for custom mounting and system integration.
• Experience with commercial machine vision software packages.
• Familiarity with image quality metrics and measurement system analysis.
• Knowledge of system integration and edge device for real‑time imaging applications.
• Project management experience, including scoping and execution of hardware deployments.

• While performing the duties of this job the employee is…