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3D Computer Vision Jobs in Columbus, OH (NOW HIRING)

CAD Designer

Columbus, OH · On-site

$24.50 - $34/hr

Software Proficiency: • Use AutoCAD Civil 3D to produce high-quality, survey-based drawings. • ... Vision Insurance • Paid Time Off • Wellness Program

Create and maintain 2D and 3D CAD drawings, engineering documentation, and technical specifications ... Medical, dental, and vision coverage * 401(k) with company match * Paid time off and floating ...

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3D Computer Vision information

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How much do 3d computer vision jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for 3d computer vision in Columbus, OH is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $22.50 per hour, depending on experience, location, and employer.

What is 3D computer vision?

3D computer vision is a field within computer science and artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world in three dimensions. Unlike traditional 2D computer vision, which works with flat images, 3D computer vision uses data from sources like stereo cameras, LiDAR, or depth sensors to reconstruct and analyze the shape, size, and position of objects in a scene. This technology is crucial for applications such as autonomous vehicles, robotics, augmented reality, and medical imaging. By understanding the spatial relationships between objects, 3D computer vision systems can enable machines to interact more effectively with their environment.

What are the key skills and qualifications needed to thrive as a 3D Computer Vision Engineer, and why are they important?

To thrive as a 3D Computer Vision Engineer, you need a solid background in computer vision, mathematics (especially linear algebra and geometry), and programming, often supported by a degree in computer science, engineering, or a related field. Proficiency in Python or C++, experience with libraries like OpenCV and PCL, and familiarity with deep learning frameworks such as TensorFlow or PyTorch are typically required. Strong problem-solving skills, creativity, and effective teamwork help candidates excel in developing novel algorithms and collaborating across disciplines. These skills and qualities are crucial for creating innovative 3D perception systems that meet real-world challenges and drive advancements in areas like robotics, AR/VR, and autonomous vehicles.

What are some common challenges faced by 3D Computer Vision engineers during project development?

3D Computer Vision engineers often encounter challenges such as managing noisy or incomplete data from sensors, ensuring real-time processing speeds, and integrating algorithms with various hardware platforms. Additionally, adapting solutions to diverse environments—such as changing lighting conditions or object occlusions—requires robust model design and continual testing. Collaboration with cross-functional teams, including hardware engineers and software developers, is key to overcoming these challenges and successfully deploying 3D vision applications.
What are popular job titles related to 3D Computer Vision jobs in Columbus, OH? For 3D Computer Vision jobs in Columbus, OH, the most frequently searched job titles are:
Vision Inspection & IoT Solutions Engineer

Vision Inspection & IoT Solutions Engineer

OSI Engineering, Inc.

Raymond, OH

Other

Posted 21 days ago


Job description

The Digital Innovation Division within the Digital Manufacturing Unit is looking for a Vision Inspection / loT Solution Engineer for a Global Automotive Company in Raymond, OH. This role requires 5 days onsite.
The engineer will work closely with vision professionals to implement, configure, and support machine vision systems used in vehicle manufacturing. This role combines hands-on work on the plant floor with technical configuration, automation integration, and programming.
Key Responsibilities

  • Support the implementation and maintenance of vision inspection systems across manufacturing plants.
  • Assist with smart camera setup, configuration, and calibration.
  • Adjust and optimize cameras, lighting, and automation triggers used in inspection systems.
  • Connect cameras to PLCs and plant automation systems, enabling communication between inspection systems and manufacturing equipment.
  • Support operational technology (OT) systems including automation, networking, and industrial controls.
  • Assist in developing and deploying digital manufacturing and smart factory solutions.
  • Work closely with engineers and plant teams to test, deploy, and maintain new vision and IoT technologies.
  • Perform both:
    • Hands-on work on the production floor (camera setup, hardware adjustments)
    • Computer-based work (configuration, programming, system monitoring).

Qualifications

  • 2+ years of experience in manufacturing, automation, controls engineering, machine vision, or industrial systems.
  • Bachelor’s degree in Engineering or related field (Electrical, Controls, Systems, Computer Science, Data Science, or similar) highly preferred.
  • Experience implementing vision solutions in Python.
  • Experience with predictive analytics: vibration, audio, or current signature analysis.
  • Proficiency with computer vision algorithms: segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D vision, and deep learning.


Bonus Skillset:

  • Experience with machine vision systems or inspection technologies.
  • Familiarity with industrial PLC platforms (Mitsubishi, Rockwell, Siemens, or Omron).
  • Exposure to computer vision or image processing techniques.
  • Experience implementing vision solutions using platforms such as Cognex, Keyence, HALCON, or similar systems.
  • Experience working with machine data, sensors, or industrial IoT solutions.


Details:

  • 5 days onsite
  • 12-month contract to start
  • Potential for conversion to full-time based on performance