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Vision Technologies Jobs (NOW HIRING)

Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at ... Design and implement machine vision systems for in-process inspection - including defect detection ...

Infrastructure Designer

Laurel, MD · On-site

$164K/yr

Leadership Development Training Vision Technologies, a national and global systems integrator, provides IT services and solutions for commercial and federal clients. Our seasoned staff has keen ...

Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at ... Design and implement machine vision systems for in-process inspection - including defect detection ...

Computer Vision Engineer Sr I

Naples, FL · On-site

$105K - $123K/yr

Computer Vision Engineer Sr I Arthrex, Inc. is a global medical device company and a leader in new ... Partners with product and engineering leaders to guide technologies, strategies, and standards to ...

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$121K - $143K/yr

Stay current on emerging machine learning and computer vision technologies Qualifications * 2+ years of professional experience in machine learning, computer vision, or related fields * Strong ...

Infrastructure Designer

Laurel, MD · On-site

$164K/yr

Leadership Development Training Company Overview Vision Technologies, a national and global systems integrator, provides IT services and solutions for commercial and federal clients. Our seasoned ...

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Vision Technologies information

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$10

$44

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How much do vision technologies jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for vision technologies in the United States is $44.05, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $61.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vision Technologies Specialist, and why are they important?

To thrive as a Vision Technologies Specialist, you need expertise in computer vision, image processing, and machine learning, usually backed by a degree in computer science, engineering, or a related field. Familiarity with tools and frameworks like OpenCV, TensorFlow, and Python is essential, along with experience using cloud-based platforms for deploying vision solutions. Strong analytical thinking, problem-solving abilities, and effective communication set top professionals apart in this field. These skills enable specialists to develop accurate, scalable vision systems that solve complex real-world challenges across various industries.

What are vision technologies?

Vision technologies refer to the systems and tools that enable machines to interpret and process visual information from the world, much like human vision. This includes technologies such as computer vision, machine vision, image processing, and pattern recognition, which are used in a wide range of industries including healthcare, automotive, manufacturing, and security. Vision technologies allow computers and robots to identify objects, detect anomalies, guide autonomous vehicles, and perform automated inspections, making them essential for many modern applications. These systems rely on advanced algorithms, cameras, sensors, and artificial intelligence to analyze and understand images and videos in real time.

What is the difference between Vision Technologies vs Computer Vision Engineer?

AspectVision TechnologiesComputer Vision Engineer
Required CredentialsTypically requires a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are commonSimilar credentials; often holds advanced degrees and certifications in AI, deep learning, or computer vision
Work EnvironmentWorks in R&D, product development, or manufacturing settings, often in tech or industrial companiesPrimarily in software development, research labs, or tech firms focusing on image and video analysis
Industry UsageUsed across robotics, manufacturing, healthcare, and autonomous vehiclesFocused on AI-driven image processing, autonomous systems, and multimedia applications

Vision Technologies professionals focus on developing and implementing visual systems, while Computer Vision Engineers specialize in creating algorithms for image and video analysis. Both roles require similar skills and credentials, but their application areas and work environments differ slightly, with Vision Technologies often more hardware-oriented and Computer Vision Engineers more software-focused.

What are some common challenges faced by professionals working in Vision Technologies, and how can they overcome them?

Professionals in Vision Technologies often encounter challenges such as keeping up with rapidly evolving algorithms, integrating new hardware, and processing large volumes of visual data efficiently. Staying current with industry trends and continuous learning are essential, as is collaborating closely with multidisciplinary teams including software engineers, data scientists, and hardware specialists. Leveraging open-source frameworks and participating in industry conferences can also help professionals address these challenges and innovate effectively.
What cities are hiring for Vision Technologies jobs? Cities with the most Vision Technologies job openings:
What states have the most Vision Technologies jobs? States with the most job openings for Vision Technologies jobs include:
Machine Vision Engineer

Machine Vision Engineer

Corning

Hickory, NC • On-site

Other

Posted 18 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

80th of 518 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) NEWimage processing NEWdefect detection NEW, and vision-guided automation NEW - 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 NEW and Industry 4.0 NEW capabilities.

 

Key Responsibilities

  • Design and implement machine vision systems for in-process inspection - including defect detection NEWdimensional gauging NEWpattern recognition NEWsurface inspection NEWbarcode verification NEW, and optical character recognition (OCR) NEW - across automated production equipment.
  • Select, configure, and deploy vision hardware including cameras NEWlighting systems NEWlenses NEW, and frame grabbers NEW; develop vision algorithms using Cognex VisionPro NEWKeyence NEWHALCON / MVTec NEWOpenCV NEW, or NI Vision NEW using Python NEWC++ NEWC# NEW, or LabVIEW NEW.
  • Integrate vision inspection solutions with PC-based control and automation platforms; interface with PLC NEWSCADA NEWHMI NEW, and MES NEW systems via OPC-UA NEWEtherNet/IP NEW, or GigE Vision NEW 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 NEW solutions; perform camera calibration NEWlighting optimization NEW, and algorithm tuning NEW to achieve target inspection performance.
  • Architect repeatable, scalable automated inspection solutions designed 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 NEWKeyence NEWHALCON NEWNI Vision NEWMVTec MERLIC NEW, or equivalent - with a track record of deploying systems into production manufacturing environments.
  • Proficiency in PC-based control programming using Python NEWC++ NEWC# NEW, or LabVIEW NEW; experience with Beckhoff TwinCAT NEWsoft PLC NEW, or NI real-time systems NEW is highly valued.
  • Track record of transitioning automated inspectionAOI NEW, or machine vision technologies from R&D NEW into sustained production use.
  • Ability to integrate vision inspection outputs with PLC NEWSCADA NEWHMI NEW, and MES NEW systems via OPC-UA NEWEtherNet/IP NEW, or GigE Vision NEW standards.
  • Proven ability to build scalable automation solutions for multi-site manufacturing NEW deployment; 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; offers exposure to global, cutting-edge advanced manufacturing and automation solutions. Travel level varies by project phase and milestone

Preferred Capabilities & Education

  • Bachelor's degree (or higher) in Electrical Engineering NEWComputer Engineering NEWMechanical Engineering NEWOptical Engineering NEWMechatronics NEWComputer Science NEW, or closely related discipline.
  • 5+ years in machine visioncontrols engineering, or industrial automation
  • Familiarity with camera selection NEWlighting design NEWlens selection NEW, and sensor calibration NEW for industrial environments.
  • Experience with deep learning vision NEW tools such as Cognex ViDi NEWMVTec MERLIC NEWAzure Custom Vision NEW, or TensorFlow / PyTorch NEW applied to industrial inspection.
  • Knowledge of USB3 Vision NEWCoaXPress NEW, or Camera Link NEW standards; experience with 3D vision NEW or structured light NEW systems a plus.
  • Background in robotics NEWmotion control NEW, or vision-guided robotics NEW; experience in glass, fiber optics, semiconductor, or precision manufacturing preferred.
This position does not support immigration sponsorship.

The range for this position is  -  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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