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Machine Vision Jobs in Raleigh, NC (NOW HIRING)

Machine Operators & Packagers

Kenly, NC ยท On-site

$13.75 - $16.75/hr

Machine Operators, Packagers, Sanders, Sprayers, Assemblers, and more! Must have: * Excellent work ... Vision Insurance * Dental Insurance * 401(k) w/ Company contribution * Employee Referral Program

Production Machine Operator B

Garner, NC ยท On-site

$14.75 - $19/hr

Pepsi Bottling Ventures is seeking a Production Machine Operator B to join our team. Who We Are We ... Medical, prescription, dental, and vision insurance options, as well as supplemental health plan ...

Vision Coverage * Employee Assistance Program * Health Savings Account (HSA) * Flexible Spending ... machine, mechanical, pneumatic, hydraulic, and electrical. Ability to effectively present ...

Vision Coverage * Employee Assistance Program * Health Savings Account (HSA) * Flexible Spending ... machine, mechanical, pneumatic, hydraulic, and electrical. Ability to effectively present ...

* We are hiring immediately for full time MACHINE INSTALLATION TECHNICIAN positions. * Location ... Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Commuter Benefits, Employee ...

Production Machine Operator B (PR0504)

Garner, NC ยท On-site

$14.75 - $19/hr

Pepsi Bottling Ventures is seeking a Production Machine Operator B to join our team. Who We Are We ... Medical, prescription, dental, and vision insurance options, as well as supplemental health plan ...

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Machine Vision information

See Raleigh, NC salary details

$13

$22

$30

How much do machine vision jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for machine vision in Raleigh, NC is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $24.76 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.
What are popular job titles related to Machine Vision jobs in Raleigh, NC? For Machine Vision jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Vision jobs in Raleigh, NC look for? The top searched job categories for Machine Vision jobs in Raleigh, NC are:
Infographic showing various Machine Vision job openings in Raleigh, NC 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 $46,143 per year, or $22.2 per hour.

Robotics & Vision Engineer- Field Applications

Cooperidge Consulting Firm

Durham, NC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Cooperidge Consulting Firm is seeking a Robotics & Vision Field Applications Engineer for a top Global Technology Organization in Research Triangle Park (RTP), NC.

This is a high-visibility, customer-facing role designed for an early-career engineer to join a strategic growth initiative focused on a new Robotics & Vision product category. You will serve as a technical bridge between Global R&D and North American customers-including OEM machine builders and system integrators. This position is ideal for a "hands-on" engineer with strong fundamentals in SCARA robotics and vision systems who wants to transition from theoretical knowledge to real-world industrial application.
Job Responsibilities

  • Technical Application Support: Work closely with OEM machine builders and system integrators to confidently apply robotics, vision, and control technologies to solve complex industrial problems.
  • Product Integration: Provide hands-on support for the programming, testing, and installation of SCARA robots and 2D vision systems at strategic key account sites.
  • Customer Collaboration: Act as a trusted technical resource, delivering presentations and demonstrations that highlight product capabilities and value propositions.
  • Cross-Functional Liaison: Direct interaction with Product Management, R&D, and global factory teams to provide feedback on product performance and customer needs.
  • System Troubleshooting: Diagnose and resolve hardware and software issues involving robot controllers, power electronics, and vision sensors.
  • Market Development: Help shape the support structure for a new product category, ensuring robotics and vision solutions are trusted and effectively implemented in the field.

Requirements

Education
  • Bachelor's degree (B.S.) in Engineering (Electrical, Mechatronics, Computer Science, or similar) is REQUIRED.
Experience & Skills
  • Experience Level: 0-3 years of relevant experience (Internships and Co-ops highly valued).
  • Robotics: Demonstrable exposure to SCARA robots and robot controllers.
  • Vision Systems: Foundational knowledge of 2D vision systems.
  • Programming: Proficiency in any modern programming language (C++, Python, Java, or PLC logic).
  • Electrical: Practical exposure to power electronics.
Preferred Attributes (Nice-to-Have)
  • Exposure to 6-Axis or Collaborative (Cobots) robots.
  • Familiarity with 3D vision systems and industrial networking protocols.
  • Experience with 0-3 years in a customer-facing or field service environment.
Soft Skills
  • Customer-Centric Personality: Excellent verbal and written communication skills are essential for this role.
  • Technical Aptitude: A mix of strong software fundamentals and hands-on mechanical/electrical aptitude.
  • Mindset: Proactive, curious, and driven by follow-through and ownership.

Benefits

  • Comprehensive health, vision, and dental insurance plans
  • Life insurance coverage
  • 401(k) retirement plan with company matching contributions
  • Paid time off including vacation, sick leave, and holidays
  • Opportunities for career growth and advancement