Computer Vision Hardware Engineer; Remote

Position: Computer Vision Hardware Engineer (Remote) Location: Galena Computer Vision Hardware Engineer (Remote) Join to apply for the Computer Vision Hardware Engineer (Remote) role at TAMKO. 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. Summary of Essential Functions • 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. Preferred Qualifications • 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. Additional Qualifications • 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. Physical Requirements /Work Environment • While performing the duties of this job the employee is… Apply tot his job