1

Vision System Jobs (NOW HIRING)

Design and implement machine vision systems for in-process inspection, including defect detection, dimensional gauging, pattern recognition, surface inspection, barcode verification, and optical ...

Evaluate the realistic performance ceiling of the computer vision system . * Translate findings into a decision-grade report for a non-technical executive audience. * Work independently and ...

Vision Systems Senior Systems Engineer

Goleta, CA · On-site

$112K - $154K/yr

Raytheon Vision Systems (RVS) Systems Engineering and Test Capabilities (SE&TC) Department is seeking a motivated Systems Engineer with strong analytical and organizational skills to support program ...

3D Computer Vision

San Francisco, CA · On-site

$131K - $154K/yr

Want to own complex 3D vision systems that operate outside controlled conditions? This role is for someone who enjoys building perception systems that have to perform reliably on real data, under ...

Configure and program vision systems to support object detection, alignment, and error-proofing within the automation cell. Lead the integration and optimization of high-precision vision-guided pick ...

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

ABOUT US Hey! We're Molg 👋 We're building robotic systems that make electronics manufacturing ... As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of ...

next page

Showing results 1-20

Vision System information

See salary details

$15

$27

$42

How much do vision system jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for vision system in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $31.97 per hour, depending on experience, location, and employer.

What are vision systems?

Vision systems, also known as machine vision systems, are technologies that enable machines or computers to interpret and process visual information from the world, typically using cameras and image processing software. They are widely used in manufacturing, robotics, quality control, and automation to inspect products, guide robots, and monitor processes. These systems can analyze images or video streams to detect defects, measure parts, or identify objects. Vision systems help improve efficiency, accuracy, and consistency in industrial and commercial applications.

How do vision system engineers typically collaborate with other departments during a project?

Vision system engineers frequently work cross-functionally with teams such as software development, mechanical engineering, and quality assurance. They coordinate closely with these groups to integrate vision hardware and algorithms into larger automation or manufacturing systems, ensure compatibility, and troubleshoot issues during deployment. Regular meetings and open communication channels are essential, as these engineers often provide technical guidance and receive feedback to optimize vision solutions for end-user needs. This collaborative approach helps ensure the final product meets both technical specifications and operational requirements.

What is the difference between Vision System vs Machine Vision Engineer?

AspectVision SystemMachine Vision Engineer
CredentialsTypically requires technical certifications or degrees in engineering, computer science, or related fieldsSame as Vision System, often with additional specialization in software or hardware development
Work EnvironmentManufacturing plants, automation facilities, R&D labsIndustrial settings, research labs, automation companies
Industry UsageUsed across manufacturing, robotics, quality controlDesigning, developing, and implementing machine vision systems in industrial applications

While both roles involve working with vision technology, a Vision System typically refers to the hardware and software setup used for automation, whereas a Machine Vision Engineer focuses on designing and developing these systems. The engineer role is more specialized in software development and system integration, making it suitable for those with a technical background in engineering or computer science.

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

To thrive as a Vision System Engineer, you need strong knowledge of computer vision, image processing, programming (Python, C++), and a relevant degree in engineering or computer science. Familiarity with tools such as OpenCV, TensorFlow, MATLAB, and experience with industrial cameras and vision software is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams. These skills are essential for designing reliable vision solutions that meet complex automation and quality control needs in various industries.
More about Vision System jobs
What cities are hiring for Vision System jobs? Cities with the most Vision System job openings:
What states have the most Vision System jobs? States with the most job openings for Vision System jobs include:
Infographic showing various Vision System job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 11% Part Time, 13% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $57,186 per year, or $27.5 per hour.
Machine Vision Engineer

Machine Vision Engineer

Corning

Painted Post, NY • On-site

Full-time

Posted 23 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

77th of 520 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.


What Corning employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom