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Labview Development Jobs in North Carolina (NOW HIRING)

... LabVIEW; experience with Beckhoff TwinCAT, SoftPLC, or NI real-time systems is highly valued. * Proven track record of transitioning automated inspection, AOI, or machine vision technologies from R&D ...

... LabVIEW; experience with Beckhoff TwinCAT, SoftPLC, or NI real-time systems is highly valued. * Proven track record of transitioning automated inspection, AOI, or machine vision technologies from R&D ...

Responsible for taking silicon and ARM software from early development stage to full production release. * Develop and automate test solutions using Python, MATLAB, LabVIEW, and other programming ...

Responsible for taking silicon and ARM software from early development stage to full production release. * Develop and automate test solutions using Python, MATLAB, LabVIEW, and other programming ...

Support new product design and development activities, including EEE component selection, circuit ... Experience using Altium Designer, LabVIEW, or similar electrical design software. * Experience ...

Support new product design and development activities, including EEE component selection, circuit ... Experience using Altium Designer, LabVIEW, or similar electrical design software. * Experience ...

Automation Measurements Manager

Hickory, NC · On-site

$143.47 - $197.28/hr

Oversee rapid prototyping, feasibility studies, and proof‑of‑concept development; review and ... Programming experience in C#, C++, Python, MATLAB, LabVIEW, OpenCV, HALCON, or similar tools

Showing results 21-40

Labview Development information

What are the key skills and qualifications needed to thrive as a LabVIEW developer?

To thrive as a LabVIEW Developer, you need strong expertise in graphical programming, experience with test automation, and a background in engineering or computer science. Familiarity with National Instruments LabVIEW software, DAQ hardware, and certifications like Certified LabVIEW Developer (CLD) are typically required. Problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating on complex projects and troubleshooting issues. These skills ensure efficient system development, reliable test automation, and smooth team collaboration in high-tech environments.

What is the difference between Labview Development vs Test Automation Engineer?

AspectLabview DevelopmentTest Automation Engineer
Required CredentialsTypically requires a degree in engineering or computer science, with LabVIEW certification often preferred.Requires a degree in engineering, computer science, or related field; certifications in testing tools are common.
Work EnvironmentPrimarily lab and development settings, working on hardware integration and data acquisition.Mostly office and lab environments, focusing on designing and executing automated tests.
Industry UsageUsed in manufacturing, aerospace, and research for data acquisition and control systems.Common in electronics, automotive, and software industries for quality assurance and testing.

While both roles involve testing and data analysis, Labview Development focuses on creating software for hardware control and data acquisition, whereas Test Automation Engineers design and implement automated testing processes to ensure product quality.

What are some common challenges faced by LabVIEW developers and how can they be addressed?

LabVIEW Developers often face challenges such as integrating LabVIEW with legacy hardware, managing large and complex codebases, and ensuring efficient collaboration with multidisciplinary teams. To address these, developers should maintain clear documentation, utilize LabVIEW's modular programming features, and follow best practices for version control. Regular code reviews and open communication with hardware engineers and project managers also help streamline development and troubleshoot issues quickly.

What is LabVIEW development?

LabVIEW development refers to the process of designing, creating, and maintaining applications using LabVIEW, which is a graphical programming environment developed by National Instruments. LabVIEW is widely used for data acquisition, instrument control, and industrial automation. Developers use LabVIEW's visual interface to create programs, or 'virtual instruments,' by connecting functional blocks instead of writing traditional code. This approach is especially popular in engineering, scientific research, and manufacturing settings where rapid prototyping and hardware integration are essential.
What job categories do people searching Labview Development jobs in North Carolina look for? The top searched job categories for Labview Development jobs in North Carolina are:
What cities in North Carolina are hiring for Labview Development jobs? Cities in North Carolina with the most Labview Development job openings:
Infographic showing various Labview Development job openings in North Carolina as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 100% In-person job distribution.

Machine Vision Engineer

Corning

Charlotte, NC • On-site

Full-time

Re-posted 7 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

87th of 537 rated manufacturers


Job description

Requisition Number: 75407

The company built on breakthroughs. 
Join us.           
       

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 

Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: 

  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences 
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Role Purpose

Corning is seeking an experienced Machine Vision Engineer to develop and deploy machine vision and PC-based control solutions that enable real-time quality assurance and closed-loop control in automated manufacturing systems. This role encompasses automated optical inspection (AOI), image processing, defect detection, and vision-guided automation, with a strong emphasis on designing solutions that are scalable, repeatable, and production-ready across multiple manufacturing environments. The successful candidate will play a critical role in advancing Corning's smart manufacturing and Industry 4.0 capabilities.

Key Responsibilities

  • Design and implement machine vision systems for in-process inspection, including defect detection, dimensional gauging, pattern recognition, surface inspection, barcode verification, and optical character recognition (OCR), across automated production equipment.

  • Select, configure, and deploy vision hardware, including cameras, lighting systems, lenses, and frame grabbers; develop vision algorithms using Cognex VisionPro, Keyence, HALCON/MVTec, OpenCV, or NI Vision with Python, C++, C#, or LabVIEW.

  • Integrate vision inspection solutions with PC-based control and automation platforms; interface with PLC, SCADA, HMI, and MES systems via OPC UA, EtherNet/IP, or GigE Vision protocols.

  • Partner with mechanical, process, and systems engineers to align automated inspection and closed-loop control solutions with production quality requirements; translate manufacturing process knowledge into robust vision system specifications.

  • Support commissioning, tuning, and long-term optimization of vision systems and motion control solutions; perform camera calibration, lighting optimization, and algorithm tuning to achieve target inspection performance.

  • Architect repeatable, scalable automated inspection solutions for deployment across multiple manufacturing facilities; document systems to support long-term maintainability and knowledge transfer.

Required Experience & Qualifications

  • Demonstrated hands-on experience with machine vision platforms, including Cognex, Keyence, HALCON, NI Vision, MVTec MERLIC, or equivalent, with a track record of deploying systems into production manufacturing environments.

  • Proficiency in PC-based control programming using Python, C++, C#, or LabVIEW; experience with Beckhoff TwinCAT, SoftPLC, or NI real-time systems is highly valued.

  • Proven track record of transitioning automated inspection, AOI, or machine vision technologies from R&D into sustained production use.

  • Ability to integrate vision inspection outputs with PLC, SCADA, HMI, and MES systems via OPC UA, EtherNet/IP, or GigE Vision standards.

  • Proven ability to build scalable automation solutions for multi-site manufacturing deployment, along with strong documentation, communication, and cross-functional collaboration skills.

  • Willingness to travel up to 50% in a project-based role supporting multiple Corning manufacturing sites, including travel for equipment builds, commissioning, and ramp-up. This role offers exposure to global, cutting-edge advanced manufacturing and automation solutions. Travel levels vary by project phase and milestone.

Preferred Capabilities & Education

  • Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Mechanical Engineering, Optical Engineering, Mechatronics, Computer Science, or a closely related discipline.

  • 5+ years of experience in machine vision, controls engineering, or industrial automation.

  • Familiarity with camera selection, lighting design, lens selection, and sensor calibration for industrial environments.

  • Experience with deep learning vision tools such as Cognex ViDi, MVTec MERLIC, Azure Custom Vision, or TensorFlow/PyTorch applied to industrial inspection.

  • Knowledge of USB3 Vision, CoaXPress, or Camera Link standards; experience with 3D vision or structured light systems is a plus.

  • Background in robotics, motion control, or vision-guided robotics; experience in glass, fiber optics, semiconductor, or precision manufacturing is preferred.

This position does not support immigration sponsorship.

The range for this position is $112,902.00 - $155,240.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.


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