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Machine Vision Jobs in Raleigh, NC (NOW HIRING)

Controls Engineer

Durham, NC · Remote

$99K - $115K/yr

Design, implement, and optimize machine vision systems for detection, classification, inspection, and process verification * Train, tune, and validate vision models to ensure accuracy, robustness ...

Senior Controls Engineer

Durham, NC · Hybrid

$125K - $141K/yr

Design, implement, and optimize machine vision systems for detection, classification, inspection, and process verification * Train, tune, and validate vision models to ensure accuracy, robustness ...

Senior Controls Engineer

Durham, NC · Remote

$125K - $141K/yr

Design, implement, and optimize machine vision systems for detection, classification, inspection, and process verification * Train, tune, and validate vision models to ensure accuracy, robustness ...

Controls Engineer

Durham, NC · Hybrid

$99K - $115K/yr

Design, implement, and optimize machine vision systems for detection, classification, inspection, and process verification * Train, tune, and validate vision models to ensure accuracy, robustness ...

Control Engineer

Raleigh, NC · On-site

$81K - $105K/yr

You will gain exposure to a variety of industrial automation systems and technologies, including PLCs, HMI/SCADA platforms, motion control, robotics, and machine vision. You should be comfortable ...

Control Engineer

Raleigh, NC · On-site

$81K - $105K/yr

You will gain exposure to a variety of industrial automation systems and technologies, including PLCs, HMI/SCADA platforms, motion control, robotics, and machine vision. You should be comfortable ...

Machine vision and 3D sensing integration; complex applications (vision-guided, dispensing, finishing) * Fanuc and Universal Robots system design; simulation software and programming What you'll do:

Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g ... Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer ...

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.

The Machine Learning Engineer will develop software and machine learning algorithms to address real ... vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image ...

Electrical Controls Engineer

Durham, NC · On-site

$72K - $96K/yr

Integrate subsystems including laser sources, wire feeders, motion platforms, sensors, vision systems, and robotic components * Support machine build, integration, commissioning, and testing in both ...

Machine Operator

Smithfield, NC · On-site

$17 - $20/hr

Vision insurance Leading custom plastics molder is looking to add to our family. EnviCor ... · Perform/Assist with machine operations · Perform/Assist with mold changes · Load powder ...

Pugmill Machine Operator Moncure, NC General Shale, Inc., the nation's leading manufacturer of ... Comprehensive benefits package including Medical, Dental, Vision, 401(k), Life Insurance, and Paid ...

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Machine Vision information

See Raleigh, NC salary details

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How much do machine vision jobs pay per hour?

As of Jul 26, 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 July 2026, with employment types broken down into 79% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $46,143 per year, or $22.2 per hour.
Controls Engineer

Controls Engineer

Daniels Health

Durham, NC • Remote

$99K - $115K/yr

Full-time

Posted 22 days ago


Daniels Health rating

5.9

Company rating: 5.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Daniels Health is seeking an experienced Controls Engineer to join our growing US engineering team and help design, build, and optimize the next generation of automated medical waste processing systems. This is a hands‑on, high‑impact role where you will work at the intersection of PLC control systems, robotics, and machine vision in safety‑critical, high‑throughput industrial environments. If you enjoy complex automation challenges and want your work to have meaningful impact across healthcare safety and environmental outcomes, this role offers both technical depth and scale.
 
Daniels Health is a global leader in healthcare waste management and infection prevention, partnering with hospitals and health systems across the United States and internationally.
 
We are experiencing strong and sustained growth, driven by expanding healthcare demand and continued investment in automation, robotics, and advanced manufacturing. This is a hybrid role. Travel will be required throughout the USA and Canada and some other overseas locations. Travel to Taylor, Michigan will be required for Induction training. 
What You Will Do:
  • Design, develop, program, and maintain PLC‑based control systems for advanced medical waste processing equipment,
  • Integrate, program, and commission industrial robots for material handling, sorting, and automated processing
  • Design, implement, and optimize machine vision systems for detection, classification, inspection, and process verification
  • Train, tune, and validate vision models to ensure accuracy, robustness, and regulatory compliance
  • Collaborate with mechanical, electrical, robotics, and software engineering teams to deliver fully integrated automation solutions
  • Support commissioning, troubleshooting, and root‑cause analysis across controls, robotics, and vision systems
  • Prepare and review electrical, hydraulic, and pneumatic control drawings for new equipment and system upgrades
  • Develop system documentation including functional specifications, control narratives, operator manuals, maintenance documentation, and validation protocols
  • Ensure all control system designs comply with applicable US medical waste, environmental, and machine safety regulations
  • Work closely with suppliers, system integrators, and external service providers to deliver projects on time and to specification
  • Drive continuous improvement in automation performance, reliability, safety, and sustainability
About You:
  • Bachelor’s degree in Electrical Engineering, Mechatronics, Automation Engineering, or a related discipline
  • 4+ years of experience in a controls or automation engineering role
  • Strong PLC and HMI programming experience with platforms such as Allen‑Bradley, Siemens, Beckhoff, or Automation
  • Direct Hands‑on industrial robotics experience including programming, commissioning, and safety integration (FANUC, ABB, KUKA, Hyundai, or similar)
  • Strong machine vision experience using Cognex, Keyence, OpenCV, or comparable systems
  • Solid understanding of industrial communication protocols including EtherNet/IP, Modbus, and OPC UA
  • Experience with motion control, servo systems, and safety‑rated automation components
  • Ability to read and create electrical schematics, P&IDs, and mechanical drawings
  • Experience working in regulated or safety‑critical environments such as medical, pharmaceutical, or waste processing is highly desirable
  • Strong troubleshooting, analytical, and problem‑solving skills
  • Excellent written and verbal communication skills and the ability to collaborate across cross‑functional teams
  • Ability to work independently and manage projects with multiple stakeholders and vendors
  • Willingness to travel domestically and internationally as required
Why Join Daniels?
  • Work on large‑scale, complex industrial automation systems with real‑world impact
  • Be part of a rapidly growing organization investing heavily in robotics, machine vision, and advanced controls
  • High autonomy with strong engineering influence and end‑to‑end system ownership
  • Career growth aligned with a scaling US and global business
  • Purpose‑driven work in a highly regulated, safety‑critical environment
“The pay range for this position is $99,395 to $115,395 salary. Actual compensation within this range will depend on factors unique to each candidate, such as prior experience, skill, certifications, and work location. Pay variations by location reflect local conditions and differences in the cost of labor. 
 
At Daniels Health, we are committed to supporting our employees’ well-being, work-life balance, and career growth through a comprehensive benefit package. Eligible employees enjoy benefits such as medical, dental, and vision insurance, retirement savings plans with company match contributions, paid vacation and sick time, wellness resources, life insurance, and professional development opportunities.”
Check out what our engineering teams do!
 
https://youtu.be/Czre5y3WvDs?si=qJWpLS5MIwIzPXJ4

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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