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Camera Based Machine Vision Engineer Jobs (NOW HIRING)

Corning

Machine Vision Engineer

Painted Post, NY · On-site

... based control solutions that enable real-time quality assurance and closed-loop control in ... Select, configure, and deploy vision hardware, including cameras, lighting systems, lenses, and ...

ElevaIT Solutions

Machine Vision Engineer

Corning, NY · On-site

$40.64 - $43.38/hr

... based at a manufacturing site in Painted Post, New York. You'd be joining a process engineering ... Computer vision system development, including optics, cameras, and image analysis * Image ...

Corning

Machine Vision Engineer

Hickory, NC · On-site

... based control solutions that enable real-time quality assurance and closed-loop control in ... Select, configure, and deploy vision hardware, including cameras, lighting systems, lenses, and ...

Corning

Machine Vision Engineer

Charlotte, NC · On-site

... based control solutions that enable real-time quality assurance and closed-loop control in ... Select, configure, and deploy vision hardware, including cameras, lighting systems, lenses, and ...

Uniting Holding

WI · On-site

$100 - $125/hr

Catalyx is seeking a Machine Vision Engineer to join our team in Belgium. Catalyx is a leader in industrial automation solutions, delivering innovative and efficient systems tailored to our clients ...

Corning

Machine Vision Engineer II

Hickory, NC · On-site

$82K - $112K/yr

The enterprise network product group consists primarily of optical-based communication networks ... Experience with machine vision systems, smart cameras, or industrial vision platforms * Basic ...

Corning

Machine Vision Engineer II

Hickory, NC · On-site

$82K - $112K/yr

The enterprise network product group consists primarily of optical-based communication networks ... Experience with machine vision systems, smart cameras, or industrial vision platforms * Basic ...

Corning

Machine Vision Engineer II

Hickory, NC · On-site

$82K - $112K/yr

The enterprise network product group consists primarily of optical-based communication networks ... Experience with machine vision systems, smart cameras, or industrial vision platforms * Basic ...

Neuromech Systems

The Role: We're looking for a Machine Vision Engineer to design, integrate, and commission vision inspection systems across our automation projects. You'll work cross-functionally with controls ...

Corning Inc.

Machine Vision Engineer II

Hickory, NC · On-site

$80 - $100/hr

The enterprise network product group consists primarily of optical-based communication networks ... Experience with machine vision systems, smart cameras, or industrial vision platforms * Basic ...

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

We are looking for a Senior Camera & Vision Engineer to lead the development of camera-based perception in our robotics systems. This is a hands-on role for someone who deeply understands camera ...

Bleum USA, Inc.

Machine Vision Engineer

Englewood, CO · On-site

We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self ...

Event Capture Systems

Be Seen First

Service Technician

Columbus, GA · On-site

$60K - $70K/yr

... NC based machine vision company that designs, manufactures, installs and services camera-based ... computer programming cannot solve. Our solutions provide 24/7 feedback on critical production ...

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Camera Based Machine Vision Engineer information

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$31.5K

$128.8K

$193.5K

How much do camera based machine vision engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for camera based machine vision engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What does a camera based machine vision engineer do?

A Camera Based Machine Vision Engineer designs, develops, and implements systems that use cameras and image processing algorithms to automate visual inspections or analysis. They work with hardware like industrial cameras and lighting, as well as software tools for image processing and machine learning, to enable machines to 'see' and interpret their environment. These engineers are crucial in industries like manufacturing, robotics, and quality control where automated visual inspection is required. Their responsibilities often include system integration, calibration, troubleshooting, and optimizing vision algorithms for speed and accuracy.

What are some common challenges camera based machine vision engineers face when integrating vision systems into manufacturing environments?

Camera Based Machine Vision Engineers often encounter challenges such as varying lighting conditions, high-speed production lines, and the need to accurately detect defects or features on complex surfaces. Adapting vision algorithms to real-world variations and ensuring reliable hardware-software integration are key parts of the role. Collaboration with production, controls, and IT teams is essential to troubleshoot issues and optimize system performance, making strong communication and problem-solving skills highly valuable.

What are the key skills and qualifications needed to thrive as a camera based machine vision engineer, and why are they important?

To thrive as a Camera Based Machine Vision Engineer, you need a strong background in computer vision, image processing, optics, and programming—typically supported by a degree in electrical engineering, computer science, or a related field. Familiarity with technical tools such as OpenCV, MATLAB, Python or C++, and experience with industrial camera systems and vision libraries are crucial, along with relevant certifications where applicable. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities make candidates stand out in this role. These competencies are essential to develop reliable automated visual inspection solutions and to ensure seamless integration of vision systems into complex production environments.

What is the difference between Camera Based Machine Vision Engineer vs Computer Vision Engineer?

AspectCamera Based Machine Vision EngineerComputer Vision Engineer
CredentialsBachelor's or higher in engineering, computer science, or related field; certifications in image processing or machine visionBachelor's or higher in computer science, AI, or related; certifications in deep learning or computer vision
Work EnvironmentManufacturing, automation, robotics, industrial settingsSoftware development, research labs, AI applications, consumer tech
Industry UsageIndustrial automation, quality control, roboticsAutonomous vehicles, facial recognition, medical imaging

While both roles involve image analysis and computer vision techniques, the Camera Based Machine Vision Engineer primarily focuses on integrating cameras and hardware for industrial applications, whereas the Computer Vision Engineer works on software algorithms for a broader range of AI-driven visual tasks. The former emphasizes hardware-software integration in manufacturing, while the latter often develops algorithms for diverse AI applications.

What are popular job titles related to Camera Based Machine Vision Engineer jobs?

For Camera Based Machine Vision Engineer jobs, the most frequently searched job titles are:

Infographic showing various Camera Based Machine Vision Engineer job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Vision Engineer

Bridgeton, MO • On-site

Hunter Engineering Company
See more jobs at Hunter Engineering Companyexternal

Full-time

Medical, Vision, PTO

Re-posted 2 days ago

Hunter Engineering Company rating

9.3

Company rating: 9.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

13th of 499 rated machine equipment manufacturers

Job description

Looking to build your career with a company that values innovation, stability, and people? Join our dedicated team as a Machine Vision Engineer in Bridgeton, MO!

Since 1946, Hunter Engineering has been aligning cutting-edge technology with a strong commitment to quality. As a family-owned, American-made company, Hunter is the global leader in automotive service equipment, with our products used in over 130 countries by top vehicle manufacturers, tire companies, and service centers.

We’re proud to be recognized as a Best Places to Work finalist by the St. Louis Business Journal for four consecutive years (2022 – 2025) – a testament to our commitment to our people. Here, employees are supported, challenged, and take pride in their work. We offer exceptional benefits, a healthy work-life balance, and meaningful opportunities for professional growth.

If you’re ready to join a team that’s shaping the future of automotive service, read on.

As a R&D Engineering II– Machine Vision, you will design and develop machine vision-based products emphasizing electronics and software development.

What You’ll Do:

  • Perform new product research and conceptual design as a design team member.
  • Develop, implement, and test vision-based software algorithms.
  • Develop, implement, and test vision-based electronics.
  • Support the development of application-level software.
  • Support further development of existing products as needed.
  • Support the development of factory test fixtures as required
  • Additional duties as assigned.

What You’ll Bring:

  • Bachelor’s degree in Electrical Engineering or Computer Engineering
  • 3-5years of experience designing and developing electronics and software for machine vision systems.
  • Knowledgeable in image processing, image analysis, 3D perspective geometry, pattern recognition algorithms, and metrology algorithms.
  • Experience in board-level electronic design, including imager, microcontroller, PLD, memory architecture, low-voltage power supply, and basic analog design.
  • Experience in embedded code development in C/C++.
  • Experience developing application-level software, including screen design and user interface design.
  • Experience developing systems in C and C++ using a Windows-based development environment is required. Experience with Microsoft Visual Studio is preferred.
  • Experience working in a multiple developer team environment with configuration management and defect tracking tools is preferred.
  • Experience specifying or designing machine vision system hardware (cameras, optics, lighting, etc.) is preferred.

What We Offer:

  • Industry-Leading Healthcare Coverage
  • Profit-Sharing Plan with Safe Harbor Contribution
  • Generous Paid Time Off & Holidays
  • Paid Parental Leave
  • Tuition Reimbursement Program
  • Free Onsite Fitness & Recreation Center

Join us in our mission to ‘Align People and Innovation to Drive Excellence!’

  • Make Lives Better Together
  • Take Pride in the Extraordinary
  • Define the Standard

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