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Smart Vision Jobs (NOW HIRING)

Van Meter Inc

Smart Devices Specialist

Cottage Grove, MN · On-site

$97K - $131K/yr

Industrial Control, Sensors/Safety/Connectivity, Machine Vision, Bar Code, RFID, Pneumatics, Small Controllers, and Distributed I/O. The Smart Devices Technical Specialist will be the technical ...

Modern Pest Services

Smart Systems Manager

San Marcos, CA · On-site

$90 - $135/hr

Additional Notes This position is integral to the organization's vision of being a global leader in preventive pest control by supporting SMART adoption, branch capability, customer value, operating ...

Van Meter

Smart Devices Specialist

Cottage Grove, MN

$97K - $131K/yr

Industrial Control, Sensors/Safety/Connectivity, Machine Vision, Bar Code, RFID, Pneumatics, Small Controllers, and Distributed I/O. The Smart Devices Technical Specialist will be the technical ...

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$45K

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$133K

How much do smart vision jobs pay per year?

As of Aug 29, 2026, the average yearly pay for smart vision in the United States is $85,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What is a smart vision specialist?

A Smart Vision specialist is a professional who designs, implements, and manages intelligent visual systems using technologies like computer vision, artificial intelligence, and machine learning. They work with cameras, sensors, and software to enable machines to interpret and analyze visual data for applications such as security, automation, healthcare, and manufacturing. These specialists are skilled in image processing, pattern recognition, and often collaborate with engineers and programmers to create solutions that improve efficiency and safety. Their work is essential in industries adopting smart technologies and automation.

What are the key skills and qualifications needed to thrive as a smart vision engineer?

To excel as a Smart Vision Engineer, you need a strong background in computer vision, image processing, and machine learning, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with tools and frameworks such as OpenCV, TensorFlow, Python, and experience with camera systems or embedded hardware is essential. Strong problem-solving skills, attention to detail, and effective teamwork help individuals stand out in this role. These skills and qualities are crucial for developing reliable, innovative vision solutions that meet real-world needs and ensure system performance.

What are some common challenges faced by professionals working in smart vision roles, and how can they be addressed?

Professionals in Smart Vision roles often encounter challenges such as managing large volumes of image or video data, ensuring real-time processing speeds, and maintaining high model accuracy in diverse environments. Collaborating closely with data engineers and software developers can help streamline data pipelines and optimize system performance. Staying updated with the latest advancements in computer vision and machine learning frameworks is also essential to overcome technical hurdles and deliver robust solutions tailored to specific business needs.

What is the difference between Smart Vision vs Computer Vision Engineer?

AspectSmart VisionComputer Vision Engineer
Required CredentialsTypically requires a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are commonSimilar credentials; often holds advanced degrees and certifications in AI, deep learning, or computer vision
Work EnvironmentWorks in industries like manufacturing, retail, or security, often on embedded systems or hardware integrationWorks mainly in software development, research labs, or tech companies focusing on algorithm development
Employer & Industry UsageUsed by companies implementing smart surveillance, automation, or quality control systemsEmployed by tech firms, research institutions, or startups developing computer vision applications

Smart Vision and Computer Vision Engineer roles overlap significantly in credentials and industry usage. However, Smart Vision often emphasizes hardware integration and real-time systems, while Computer Vision Engineers focus more on algorithm development and software solutions. Both roles require strong technical skills and are vital in AI-driven industries.

More about Smart Vision jobs

What job categories do people searching Smart Vision jobs look for?

The top searched job categories for Smart Vision jobs are:

Smart Vision jobs near you
Infographic showing various Smart Vision job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

Vision Engineer in Wixom, MI (Onsite)

Wixom, MI • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

Contractor

Re-posted 28 days ago

Job description

Job description:
Job title: Vision Engineer
Duration: 6+ months contract with possibility of extension
Location: Wixom, MI (Onsite)
Job Summary:
We are seeking an experienced Vision Engineer to join our team in Wixom, MI to support multiple high-priority automation projects.
The selected candidate will primarily work onsite in Wixom and will later travel to Toledo for system commissioning as required.
No travel or relocation expenses can be provided.
The ideal candidate will have strong hands-on experience with Keyence and Cognex machine vision systems and be capable of designing, developing, and implementing machine vision inspection applications for industrial automation.
Key Responsibilities:
Design, develop, and implement machine vision inspection systems based on customer specifications and project requirements.
Perform feasibility studies for machine vision applications.
Develop vision applications using Cognex EasyBuilder, Keyence, and related vision tools.
Configure and optimize machine vision systems for inspection, barcode reading, OCR, presence/absence detection, kitting verification, and model inspection.
Work with external lighting, filters, lenses, and GigE camera networks.
Support commissioning, testing, troubleshooting, and system optimization at customer sites.
Collaborate with engineering teams and communicate professionally with customers.
Travel to customer sites (primarily Toledo) as needed for commissioning and support.
Required Qualifications:
Associate's or Bachelor's degree in Computer Science, Mechatronics, Electrical Engineering, or a related engineering discipline (equivalent experience will also be considered).
3+ years of experience in Machine Vision Engineering.
Strong hands-on experience with:
Keyence Vision Systems
Cognex Vision Systems
Cognex EasyBuilder
Experience developing applications for:
Presence/Absence Inspection
Kitting Verification
Model Inspection
Barcode Reading
OCR (Optical Character Recognition)
Experience working with:
GigE Vision Networks
External Lighting, Filters, and Lenses
Ability to work independently as well as in a collaborative team environment.
Excellent communication and customer interaction skills.
Willingness to travel for commissioning activities.
Preferred Qualifications:
Experience with Matrox Design Assistant (DA) and template programming.
Experience with Allied Vision, Basler, GVI, and Smart Vision Lighting.
AIA Certification is a plus but not required.

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