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Camera Based Machine Vision Engineer Jobs (NOW HIRING)

DISHER

Vision Engineer

Detroit, MI · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Tuscaloosa, AL · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

Peak Technologies

Robotics Vision Engineer

Flint, MI · On-site

... and field-based business processes. JOB SUMMARY & SCOPE Automation Intelligence, a Peak ... Work directly with Keyence, Photoneo, and Matrox camera systems to set up and maintain machine ...

DISHER

Vision Engineer

Spartanburg, SC · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Montgomery, AL · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Greenville, SC · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Spartanburg, SC · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Hammond, IN · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Montgomery, AL · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Hammond, IN · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Detroit, MI · On-site +1

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Greenville, SC · Remote

Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ... materials based on available information. These tools assist our recruitment team but do not ...

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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 Solutions Engineer

Chesterland, OH • On-site

Peak Technologies
IT Services • 501 - 1,000 employees
Learn more about Peak Technologiesexternal

Full-time

Re-posted 21 days ago

Job description

For over 35 years, Peak Technologies has been at the forefront of providing end-to-end enterprise mobility, managed services, printing and mobile data capture solutions for performance-driven organizations focused on the optimization of supply chain and field-based business processes.
This is a remote position.
Job Summary:
As a Machine Vision Solutions Engineer, you will lead the installation, integration, and support of advanced industrial systems, including machine vision systems, RFID solutions, and emerging automation technologies. This role requires a highly skilled, customer-facing professional with strong technical expertise in electrical, mechanical, and networking systems. You will serve as a subject matter expert and ensure successful deployments in fast-paced, high-demand environments. Responsible for developing and managing complex projects across multiple locations.
Key Responsibilities
System Installation & Integration:
Lead installation, setup, and configuration of advanced systems such as machine vision tunnels, RFID systems, conveyors, and robotics.
Technical Leadership:
  • Provide expert guidance on installation best practices, system calibration, and troubleshooting.
  • Mentor and train junior technicians and customer teams on system operation and maintenance.

Customer Engagement:
  • Act as the primary technical contact during installations, ensuring clear communication and exceptional customer service.
  • Conduct site assessments to verify infrastructure readiness (power, networking, environmental conditions).

Troubleshooting & Support:
  • Diagnose and resolve complex technical issues during and after installation.
  • Perform preventive maintenance and create detailed service reports.

Documentation & Compliance:
  • Develop and maintain installation guides, wiring diagrams, and calibration reports.
  • Ensure compliance with safety standards (Lockout-Tagout, Hazmat, Industrial Safety).

Qualifications
Education + Experience + Key Traits
  • Technical four-year degree, but experience in lieu of degree will be considered.
  • 5+ years in field service or installation roles, with advanced experience in: Machine vision systems (Cognex, Keyence, Basler, Matrox, Teledyne/FLIR).
  • Time management and ability to meet deadlines.
  • Strong organizational skills and ability to multitask.
  • Problem-solving and decision making.
  • Proactivity and self-direction.
  • Demonstrated proficiency in Microsoft Suite, specifically Outlook, Word, Excel, and Teams.
  • This list is not exhaustive or complete. While it represents the primary job functions, many related skills will need to be provided at various times based on the specifics of the project.
  • Travel may be required for company events, training, and customer visits.

TYPICAL PERFORMANCE TARGETS
  • SERVICE DELIVERY: Sustained, measured excellence in project & process delivery
  • COST TO SERVE: Sustained, measured excellence in delivery efficiency with expected continuous improvement
  • INNOVATION: Step changed delivery in safety, quality, and/or cost

LANGUAGE SKILLS
  • Primary language used in daily operations is English. Additional primary company languages include Spanish, French, and Dutch.
  • Read and interpret documents, procedure manuals, and various correspondence from both internal and external.
  • Speak effectively, both individually and before groups of both external customers and/or various levels of employees within the organization.

SUPERVISION
  • Role does not require supervision of direct and indirect reports, however you may be responsible for delegating work on large projects to other project resources.

DECISION MAKING + REASONING
  • Able to take accountability and responsibility for business target delivery and decision-making

WORKING RELATIONSHIPS
  • Assigned Sales Team
  • Sr. Solutions Consultant
  • Director Solutions and Services

PHYSICAL REQUIREMENTS
Activity
Amount of Time
None
Under 1/3
1/3 to 2/3
Over 2/3
Stand
X
Walk
X
Sit
X
Use hands to finger, handle, or feel
X
Reach with hands and arms
X
Climb or balance
X
Stoop, kneel, crouch, or crawl
X
Talk or hear
X
Lift Up to 25lbs
X
Peak Technologies, Inc. is an Equal Opportunity Employer who fully and actively supports equal access for all people regardless of Race, Color, Religion, Gender, Age, National Origin, Veteran Status, Disability, Genetic Information or Testing, Family and Medical Leave, Sexual Orientation and Gender Identity or Expression.

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