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Internship Camera Systems Engineer Jobs in Columbus, OH

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Internship Camera Systems Engineer information

See Columbus, OH salary details

$10

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How much do internship camera systems engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship camera systems engineer in Columbus, OH is $18.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.19 per hour, depending on experience, location, and employer.

What is the difference between Internship Camera Systems Engineer vs Camera Systems Engineer?

AspectInternship Camera Systems EngineerCamera Systems Engineer
QualificationsEnrolled in or recent graduate of relevant engineering or technical degreeBachelor's or higher in electrical, computer, or systems engineering
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time professional role, responsible for design, development, and testing
Industry UsageUsed in training, educational, or entry-level contexts within tech and automotive sectorsEstablished role in automotive, security, and surveillance industries

The main difference is that an Internship Camera Systems Engineer is a temporary, entry-level position aimed at gaining experience, while a Camera Systems Engineer is a full-time professional responsible for designing and maintaining camera systems. Interns typically work under supervision, whereas full engineers lead projects and make technical decisions.

What cities near Columbus, OH are hiring for Internship Camera Systems Engineer jobs? Cities near Columbus, OH with the most Internship Camera Systems Engineer job openings:

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

Thomas & Reed, LLC

Columbus, OH

Contractor

Posted 8 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