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Vision Systems Jobs (NOW HIRING)

Blount Fine Foods

Vision System Tech

Fall River, MA · On-site

$22 - $22.55/hr

Responsible for the continuous and "trouble free" running of the Vision System machines incorporated within the Cup Pack out processing department. In event of absence, position will be filled by ...

Blount Fine Foods

Vision System Tech

Fall River, MA

$22 - $22.55/hr

Responsible for the continuous and "trouble free" running of the Vision System machines incorporated within the Cup Pack out processing department. In event of absence, position will be filled by ...

Blount Fine Foods

Vision System Tech

Fall River, MA

$22 - $22.55/hr

Responsible for the continuous and trouble free running of the Vision System machines incorporated within the Cup Pack out processing department. In event of absence, position will be filled by ...

Boydcorp

Automation Vision Engineer

Grand Rapids, MI

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 ...

Wood Plc

Vision Applications Engineer

Wixom, MI

Typical vision systems use cameras and sensors to perform the following: Code Readers - Reading 1D and 2D codes marked directly on a part Error Proofing - Verifying the components are correctly ...

Polaris, Inc.

Systems Engineer

Huntsville, AL · On-site

Support and maintain existing neural network and vision system customizations within the ... manufacturing site. * Design and implement solutions for neural net systems based on defined ...

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How much do vision systems jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for vision systems 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 the key skills and qualifications needed to thrive in the Vision Systems position, and why are they important?

To thrive in a Vision Systems role, you need a solid background in computer vision, image processing, and programming (often C++, Python, or MATLAB), typically supported by a degree in engineering, computer science, or a related field. Experience with machine vision hardware, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with industry standards like GigE or Camera Link is highly valued. Analytical thinking, attention to detail, and effective teamwork set top candidates apart. These skills ensure you can develop, implement, and troubleshoot vision solutions that meet accuracy and reliability requirements in diverse industrial or research settings.

What are the typical day-to-day responsibilities of someone working in Vision Systems?

Professionals in Vision Systems typically spend their days designing, developing, and testing machine vision solutions to solve real-world problems, such as automated inspection or object detection. This often involves programming algorithms, calibrating cameras and sensors, and collaborating closely with engineers or production teams to integrate systems into larger processes. You may also analyze test data, troubleshoot performance issues, and continuously refine models for improved accuracy. The nature of the role means you’ll work in a mix of office and lab environments, and effective teamwork is crucial for meeting project goals.

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Vision Systems jobs near you
Infographic showing various Vision Systems job openings in the United States as of July 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 $57,186 per year, or $27.5 per hour.

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

Thomas & Reed, LLC

Columbus, OH

Contractor

Re-posted 28 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