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Machine Vision Jobs (NOW HIRING)

We have a new opportunity for a Senior Machine Vision Engineer to join our engineering team. In this role you will be working within a collaborative team on the development of next generation non ...

Job Title Machine Vision/Automation Engineer Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life ...

Stay abreast of technological trends in the field of machine vision Requirements Bachelor of ... Science degree in Electrical Engineering, computer science, computer vision and/or other degrees ...

Stay abreast of technological trends in the field of machine vision Requirements Bachelor of ... Science degree in Electrical Engineering, computer science, computer vision and/or other degrees ...

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 solutions using C++, C#, and Python. * Collaborate closely with mechanical, electrical, and manufacturing ...

Stay abreast of technological trends in the field of machine vision Requirements: Bachelor of ... Science degree in Electrical Engineering, computer science, computer vision and/or other degrees ...

Vision Inspection Machine Technician

Jeffersonville, OH · On-site

$18.75 - $24.25/hr

Machine Vision Technician in a manufacturing or automotive engineering environment through an internship, co-op, entry level job role, or similar is preferred * Experience with Vision and Inspection ...

Vision Inspection Machine Technician

Jeffersonville, OH · On-site

$18.75 - $24.25/hr

Machine Vision Technician in a manufacturing or automotive engineering environment through an internship, co-op, entry level job role, or similar is preferred * Experience with Vision and Inspection ...

Sr. Vision Software Engineer

San Diego, CA

$125K - $165K/yr

Design, implement, and deploy full-stack machine vision (image-based) and machine learning solutions using C++, C#, and Python. * Collaborate closely with mechanical, electrical, and manufacturing ...

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Machine Vision information

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How much do machine vision jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for machine vision in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is the difference between Machine Vision vs Computer Vision?

AspectMachine VisionComputer Vision
Required CredentialsTypically requires engineering degrees, certifications in image processing or automationOften requires computer science or AI-related degrees, certifications in deep learning or AI
Work EnvironmentIndustrial settings, manufacturing plants, quality control labsResearch labs, software development environments, AI startups
Industry UsageManufacturing, automation, roboticsHealthcare, autonomous vehicles, multimedia analysis
Search & Comparison IntentFocuses on industrial applications and hardware integrationFocuses on algorithms, software, and AI models

Machine Vision and Computer Vision are related fields but differ mainly in application and environment. Machine Vision is primarily used in industrial settings for automation and quality control, requiring specialized hardware and engineering skills. Computer Vision is broader, often involving AI and software development for applications like autonomous vehicles and image analysis. Understanding these differences helps in choosing the right career path or job focus within the tech industry.

What are some common challenges faced by professionals working in Machine Vision roles?

Professionals in Machine Vision often encounter challenges related to integrating vision systems with existing automation equipment and ensuring reliable performance in variable lighting or environmental conditions. Troubleshooting hardware-software interactions and maintaining accurate image recognition in high-speed production environments are also frequent hurdles. Collaborating closely with cross-disciplinary teams, such as robotics engineers and production managers, is essential to address these challenges effectively and deliver robust solutions.

What is machine vision?

Machine vision is a field of technology and engineering that enables computers and machines to interpret and process visual information from the world, typically using cameras and image processing software. It is widely used in industrial automation for tasks such as inspection, measurement, and object recognition. Machine vision systems can analyze images to detect defects, guide robots, and ensure quality control. They play a crucial role in manufacturing, logistics, and many other sectors where visual inspection or guidance is required.

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

To thrive as a Machine Vision Engineer, you need strong knowledge of image processing, computer vision algorithms, and programming languages like Python or C++, typically supported by a degree in engineering or computer science. Familiarity with machine vision software (such as OpenCV, HALCON, or MATLAB), industrial cameras, and hardware integration is essential. Attention to detail, problem-solving ability, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing robust vision systems that ensure accuracy and efficiency in automated inspection and quality control processes.
More about Machine Vision jobs
What cities are hiring for Machine Vision jobs? Cities with the most Machine Vision job openings:
What states have the most Machine Vision jobs? States with the most job openings for Machine Vision jobs include:
Infographic showing various Machine Vision job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 16% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Senior Machine Vision Engineer

Senior Machine Vision Engineer

ITW Instron

Norwood, MA

$140K - $160K/yr

Full-time

Posted 9 days ago


Job description

Job Description:

We have a new opportunity for a Senior Machine Vision Engineer to join our engineering team. In this role you will be working within a collaborative team on the development of next generation non-contacting measurement technologies and processes for video extensometer products. You will lead the technical work from early feasibility studies through proof‑of‑concept prototypes and validation, with a strong emphasis on machine vision optics, illumination and optical filtering optimization, and digital image analysis algorithms. You will also translate successful prototypes into robust, real‑time implementations suitable for pilot units and eventual manufacturing transfer.Key Responsibilities
  • Lead feasibility studies and rapid prototyping to establish suitable measurement approaches, defining and building experimental setups and quantifying performance
  • Specify and optimize imaging optics and capture configurations (camera/sensor selection, lens choice, working distance, FOV/DOF tradeoffs)
  • Engineer illumination solutions to maximize target visibility and stability by controlling illumination geometry, wavelength, and optical filtering strategies
  • Create tools for algorithm testing, image quality evaluation, and regression testing
  • Develop software using OpenCV and one or more of: C, C++, C#, and/or MATLAB/Simulink; translate prototypes into deployable pipelines
Knowledge, Skills and Abilities Required:
  • Degree in Physics, Mechatronics, Mechanical, Electrical, Computer or Software Engineering with 7-10 years of experience in the design, development and launch of vision products.
  • Machine vision optics (imaging system design, lens/camera selection, calibration fundamentals)
  • Optimization of illumination and filtering techniques for surface contrast enhancement across different material texture, finish and topography (geometry/wavelength/filters; glare/reflection management, contrast optimization)
  • Digital image analysis techniques and algorithms for inspection and measurement
  • Ability to design and build real time systems using one or more of the following:  object-oriented programming, OpenCV, MATLAB, Simulink, C, C++, C# or Linux.
  • Knowledge of data and signal processing and analysis. 
  • Experience with software such as Excel, Minitab and PowerPoint.
  • Desired attributes:
    • Proven strong interpersonal, communication and organizational skills
    • Able to create, collaborate and work within team environments. 
    • Innovative with strong problem-solving capabilities.
    • Self-starter showing front to back ownership and sense of urgency
Preferred:
  • Familiarity with GPU, SOM and SOC platforms
  • Experience in implementation of DIC based solutions
  • Experience specifying/procuring vision components (cameras, lenses, lighting, controllers, optical filters) and validating end-to-end performance
  • Familiarity with material testing systems
Working Conditions:Office & Laboratory environment with little, if any, exposure to adverse conditions.Reporting Relationship:Reports to Technical Engineering Manager.

Compensation Information:

This position has a starting salary range of $140,000-$160,000 per year. Pay is determined by several factors, including a candidate’s experience, relevant skills, and qualifications

ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential. 


As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship. 


All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.