Vision Engineer

Corning•Hickory, NC

1d•$105,622 - $145,231

About The Position

Corning’s Optical Communications segment provides optical solutions across the communications industry. The Vision Engineer leads the development, implementation, and transfer of machine vision systems that support quality inspection, process monitoring, and data collection for new product and process introductions. This is a hands-on role with technical ownership across cross-functional teams and responsibility for mentoring less experienced engineers. The position does not support immigration sponsorship. The stated salary range is $105,622.00–$145,231.00, assuming full-time status; starting pay depends on job-related factors including location, market demands, experience, training, and education.

Requirements

Bachelor’s or master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or Electrical Engineering Technology (EET); an equivalent combination of education and 6+ years of experience in another engineering discipline will be considered.
At least 6 years of hands-on machine vision experience, including smart camera technology and/or higher-level vision systems.
Programming experience in Python, C/C++, or C#.
Exposure to machine learning methodology and its application in a manufacturing or automated production environment.

Nice To Haves

Experience with Cognex and/or Keyence platforms, including algorithm development, industrial camera configuration, and coding.
Experience with Halcon, Cognex Vision Pro, or LabView.
PLC coding experience, particularly Allen Bradley ladder logic.
Experience with electrical controls systems and practical application of process control and data analysis.
Familiarity with Databricks, AWS platform services, or Six Sigma/DMAIC.
At least 4 years of experience in a manufacturing environment.

Responsibilities

Lead the design, development, and implementation of machine vision applications for new products and manufacturing processes.
Transfer completed vision systems to plant teams, including documentation, training, and knowledge handoff to support sustained performance.
Apply machine learning and advanced imaging techniques to automate quality inspection and process monitoring.
Collaborate with process and engineering teams to develop solutions and provide technical direction to less experienced engineers.
Use statistical analysis and optimization techniques to improve process capability and efficiency.

Benefits

Company-wide bonuses and long-term incentives.
100% company-paid pension benefit with fixed contributions.
401(k) savings plan with matching contributions; total company retirement contributions can reach 7%–12% of pay depending on age and years of service.
Medical, dental, and vision benefits.
Paid parental leave and family building support.
Fitness benefits.
Company-paid life insurance and disability benefits.
Disease management programs.
Paid time off.
Employee Assistance Program (EAP).
Recognition program to celebrate successes and reward exceptional contributions.