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Camera Based Machine Vision Engineer Jobs (NOW HIRING)

Wood Plc

Vision Applications Engineer

Wixom, MI · On-site

Knowledge of machine vision programming, optical designs, design logic, camera logic and PLC logic preferred.This position is hand on engineering and requires aptitude in the following areas: ( On ...

Wood Plc

Vision Applications Engineer

Nashville, TN

Knowledge of machine vision programming, optical designs, design logic, camera logic and PLC logic preferred. This position is hand on engineering and requires aptitude in the following areas: ( On ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$119K - $141K/yr

While our team has strong capabilities in machine learning and real-time processing, we need a ... event-based camera * Develop middleware and vision pipeline components that interface with our ...

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

Tuscaloosa, AL · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Spartanburg, SC · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Tuscaloosa, AL · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Montgomery, AL · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Montgomery, AL · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · On-site +1

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Hammond, IN · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Greenville, SC · Remote

Knowledgeable of Keyence & Cognex cameras. * Must have ability to prioritize, multi-task and meet ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Cohu

Sr. Vision Software Engineer

San Diego, CA · On-site

$125K - $165K/yr

Design, implement, and deploy full-stack machine vision (image-based) and machine learning ... Experience with TensorFlow (or similar ML frameworks), 2D/3D imaging and camera calibration, optics ...

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All JobsCamera Based Machine Vision Engineer Jobs

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 Jun 7, 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 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 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 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 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.
Infographic showing various Camera Based Machine Vision Engineer job openings in the United States as of May 2026, with employment types broken down into 52% Full Time, 5% Part Time, and 43% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Computer Vision R&D Engineer

Cesna Recruitment

San Diego, CA • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

[About Our Client]

The company, founded in 2002 in Seoul, South Korea, is the world leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. Using patented 3D technology, the company provides best-in-class products in Solder Paste Inspection(SPI) and Automated Optical Inspection(AOI) for electronics manufacturers worldwide.

[Job Summary]

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning.

As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration)

[Job Description]

- Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.

- Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.

- Engineer solutions for quality inspection equipment, medical equipment, and more.

- Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.

- Participate in weekly “Group Genius” activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere.

- Performs other duties as assigned

Requirements

[Qualifications]

- Master’s degree required

- Ph.D preferred

- Experience to Research and Develop to Classical Computer Vision Algorithm

- Experience to Research and Develop Machine Learning

- Experience to Deploy CUDA processing

- C++ code optimization in performance-wise to image processing

- Experience with at least of the programming language C++ / Python / CUDA

- - Able to work in US without any Work Visa sponsor/transfer/Extension/ support, now and future

Have at least one of the followings:

- Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation.

- Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems

- Algorithm optimization for efficient processing, exploiting parallelism, and GPU

- Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years)

- C++ programming skills, preferably in an embedded environment with GPU and familiar with UML

Benefits

- No Visa Sponsor

- Salary range : $110-160K

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays