Jobs · Engineering · North Carolina

Machine Vision Engineer

Corning Incorporated · Hickory, NC · 1 mo ago
Engineering$89k–$122k/yrFull-time

About the role

The Machine Vision Engineer will support the development, design, and debugging of machine vision hardware and software used in advanced automation and inspection systems. This role involves blending vendor-specific vision platforms with custom PC-based software and requires close collaboration with cross-functional engineering teams.

Responsibilities

  • Collaborate with team leaders to identify, define, and document machine vision requirements.
  • Generate, evaluate, and select machine vision concepts in partnership with the automation team.
  • Apply rapid prototyping, engineering analysis, and fundamental principles to select appropriate vision techniques, algorithms, and hardware.
  • Work closely with mechanical and electrical engineers to integrate machine vision hardware into automation designs.
  • Develop and maintain software for machine vision applications.
  • Debug, test, and lead resolution of machine vision design or manufacturing issues.
  • Present project results through internal reports and technical presentations to peers, managers, and customers.
  • Act as a safety advocate and role model, ensuring all work is performed in a safe manner and environment.
  • Document inventions and novel design concepts in accordance with company standards.

Qualifications

  • Education: Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, Optics, Physics, or a related field.
  • Experience: 2+ years of combined engineering, manufacturing experience or Military experience in a technical role.

Skills & Competencies

  • Understanding of the full engineering design lifecycle, from requirements through deployment.
  • Ability to work effectively with cross-functional teams to gather, align on, and present technical requirements and solutions.
  • Knowledge of machine vision system integration within automated machinery.
  • Experience selecting machine vision components including optics, cameras, lighting, and interfaces.
  • Familiarity with at least one rapid prototyping platform for machine vision hardware and algorithms.
  • Strong object-oriented programming skills in at least one C-based language.
  • Experience with at least one PC-based machine vision library.
  • Strong mathematical foundation, including linear algebra, signal processing, and modeling.
  • Solid understanding of software engineering principles.
  • Excellent technical documentation skills, including written content and diagrams.
  • Proficiency with Microsoft Excel, Word, and PowerPoint.

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