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Vision Systems Engineer information

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$53.5K

$127.2K

$167K

How much do vision systems engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for vision systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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

AspectVision Systems EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related field; experience with image processing and systems integrationBachelor's or higher in computer science, AI, or related; strong programming skills in Python, C++, and experience with machine learning
Work EnvironmentIndustrial settings, manufacturing, robotics, embedded systemsSoftware development, research labs, AI-focused companies
Employer & Industry UsageManufacturing, automation, robotics companiesTech companies, research institutions, AI startups

While both roles involve image processing and computer vision technologies, Vision Systems Engineers focus on integrating vision into physical systems like robots and manufacturing equipment. In contrast, Computer Vision Engineers primarily develop algorithms and software for analyzing visual data, often in AI and software-centric environments.

What jobs pay 400 an hour?

In the field of Vision Systems Engineering, highly specialized consultants or contractors with extensive expertise in computer vision, machine learning, and optical systems can command rates of $400 or more per hour. These roles often require advanced certifications, a strong portfolio, and work on complex projects such as autonomous vehicles or advanced manufacturing systems.

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

To thrive as a Vision Systems Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a relevant engineering or computer science degree. Familiarity with tools such as OpenCV, MATLAB, machine learning frameworks, and industrial cameras or vision sensors is typically required, and certifications in machine vision or automation can be advantageous. Strong analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating with multidisciplinary teams and addressing complex technical challenges. These skills and qualifications are crucial for designing, implementing, and optimizing vision solutions that meet the demands of automated systems in industries like manufacturing, robotics, and quality control.

What are the typical challenges faced by Vision Systems Engineers when integrating new vision technology into existing manufacturing processes?

Vision Systems Engineers often encounter challenges such as ensuring compatibility between new vision technology and legacy equipment, managing varying lighting conditions on the manufacturing floor, and maintaining high accuracy rates in image detection and analysis. Addressing these issues requires close collaboration with production, IT, and quality assurance teams to adapt solutions to dynamic environments. Continuous testing, calibration, and troubleshooting are also essential to ensure reliable system performance and minimize downtime.

What is a vision system engineer?

A vision system engineer designs and develops computer vision systems that enable machines to interpret visual data. They often work with cameras, image processing software, and machine learning algorithms to automate inspection, quality control, or navigation tasks in manufacturing, robotics, or automation environments.

What does a Vision Systems Engineer do?

A Vision Systems Engineer designs, develops, and implements computer vision solutions for applications such as robotics, manufacturing automation, and quality inspection. They work with hardware like cameras and sensors, as well as software algorithms to process and analyze visual data. Their responsibilities often include system integration, calibration, testing, and troubleshooting to ensure reliable performance. Vision Systems Engineers collaborate closely with software developers, hardware engineers, and project managers to deliver solutions that meet specific technical requirements.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare technical expertise and certifications.

What engineer makes $500,000 a year?

A Vision Systems Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in machine learning and computer vision, and roles in high-demand industries like autonomous vehicles or aerospace. Such compensation often includes bonuses, stock options, or other incentives for senior or specialized positions.
More about Vision Systems Engineer jobs
What job categories do people searching Vision Systems Engineer jobs look for? The top searched job categories for Vision Systems Engineer jobs are:
Vision Systems Engineer jobs near you
Infographic showing various Vision Systems Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, and 17% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Vision Systems Engineer - Raymond, Ohio (on-site only)

Thomas & Reed, LLC

Columbus, OH • On-site

Contractor

Posted 5 days ago

Job description

Vision Systems Engineer
Location: ADC Raymond, OH
Contract to Hire
Duration: 12 month + conversion/extension

Description:

The HDMA Digital Innovation Division, Digital Manufacturing Unit, IoT Solutions Development group was created to survey Honda’s manufacturing business and develop strategy for prioritized development of digital solutions that enable improved production efficiency, quality, and safety for a sustainable future.
The IoT Solutions Engineer is engaging with NA regional plant floor customers to identify opportunities to develop and test technology/concepts and prove the ability to deliver reliable value to our customer. Ideal candidate for this role has a creator mindset, is excited to maintain awareness of digital technology developments, and then develop new, reliable solutions that enable Honda competitiveness, while also being risk averse.

• Development of new digital technology solutions such as vision inspection systems, AI and M/L analysis of machine/sensor data.
• Analyze user/customer needs along with manufacturing problems and align them with product/technology opportunities.
• Contribute to and execution of IoT strategy and roadmap for selected areas.
• Monitor developments of new technologies for IoT potential in future projects
• Support analytical processes, like machine learning in use within proof-of-technology concepts to deployed IoT projects.


QUALIFICATIONS, EXPERIENCE, & SKILLS

Minimum Educational Qualifications: Bachelor’s degree in engineering or engineering-related areas: electrical, controls, systems, computer science, data science or equivalent experience

Minimum Experience: 2+ years’ experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry

Other Job-Specific Skills:
-Understanding, extraction and interpretation of parameter data in a machine that represents the health of the machine components, proper operation, and effects on product quality.
-Knowledge of manufacturing equipment controls and logic – preferably in at least one of Mitsubishi, Rockwell, Siemens, or Omron PLCs.
-Understanding of computer vision algorithms such as segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D Vision and deep learning techniques.
-Experience implementing vision algorithms in C++, Python, HALCON, Matrox, Cognex, and/or Keyence, using traditional rules and/or deep learning.
-Experience with vibration, audio, or current signature analysis

Interested candidates please contact Sue HUettl at shuettl@trllc-cpa.com