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Camera Based Machine Vision Engineer Jobs (NOW HIRING)

Service Technician

Cottonton, AL · 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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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 ...

WI · On-site

$80 - $100/hr

Catalyx is seeking an Automation and Machine Vision Engineer to join our team in Belgium. Who We Are Catalyx is a leader in industrial automation solutions, delivering innovative and efficient ...

Vision Systems Engineer

Ontario, CA · On-site

$125 - $150/hr

Bastian Solutions is hiring a Vision Systems Engineer to design and deploy machine vision solutions for warehouse automation projects in Southern California. You will select and configure cameras ...

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

... camera calibration, object detection, image processing, denoising, segmentation and metrology ... stack machine vision/image-based and machine learning solutions, using C++ and Python ...

These vision-based inspection solutions will be fully integrated into Amcor's manufacturing systems ... Selects and specifies cameras, optics, lighting methodologies, filters, and image acquisition ...

Knowledge of machine vision programming, optical designs, design logic, camera logic and PLC logic preferred.This position is hand on engineering and requires aptitude in the following areas: ( On ...

Knowledge of machine vision programming, optical designs, design logic, camera logic and PLC logic preferred. This position is hand on engineering and requires aptitude in the following areas: ( On ...

Showing results 21-40

Camera Based Machine Vision Engineer information

See salary details

$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.

Service Technician

Cottonton, AL • On-site

Event Capture Systems
Software Development • 11 - 50 employees

$60K - $70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

We are seeking a Service Technician to join our team! You will maintain and repair camera-based quality and production monitoring equipment at our customer location in Cottonton, AL.

Responsibilities:

  • Repair, install, and adjust monitoring systems
  • Troubleshoot and repair defective equipment
  • Perform routine preventative maintenance
  • Respond to work order requests in a timely fashion
  • Sell equipment upgrades and replacement parts
  • Develop and maintain excellent customer relationships
  • Adhere to all safety policies and procedures

Qualifications:

  • Previous experience in machinery maintenance or other related fields
  • Strong mechanical aptitude and troubleshooting skills
  • Some technical aptitude is a plus
  • Familiarity with industrial tools and equipment
  • Ability to handle physical workload

Company Description

ECS is a Charlotte, NC based machine vision company that designs, manufactures, installs and services camera-based quality control systems for large industrial applications of Fortune 500 companies. Our solutions combine custom built software with leading edge and state-of-the-art computer, camera, and LED illumination hardware. We are also in the forefront of deploying Deep Learning software code to develop the next generation of quality control challenges that traditional computer programming cannot solve.

Our solutions provide 24/7 feedback on critical production criteria and in many cases if the quality control system is not working – the client will stop production. These ‘always on’ systems are an integral part of the production line and downtime of our product is a critical situation for the user. They depend on ECS to understand their unique solution requirements, and we jeopardize the entire business relationship if the client is not getting the absolute highest level of customer care.