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Machine Vision Jobs in Raleigh, NC (NOW HIRING)

Sr. Controls Engineer

Durham, NC

$93K - $123K/yr

Robotics & Vision Systems: Working experience with multi axis robotic systems (Fanuc, Kuka, ABB) and machine vision platforms (Cognex, Keyence) * Experience in heavy industrial, greenfield, chemical ...

Sr. Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Stay current with the latest advancements in machine learning, vision software and related fields to continuously improve methodologies and approaches. * Communicate complex data insights and ...

New

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

The Senior Vision Software Engineer will actively communicate with project stakeholders and the ... Develop and implement machine learning derived software to solve business problems. * Integrate ...

We are currently hiring for Machine Operators in our Youngsville, NC Manufacturing Facility. Join ... Medical, Dental, Vision * $100,000 Life Insurance & Long-Term Disability with Medical election

We are currently hiring for Machine Operators in our Youngsville, NC Manufacturing Facility. Join ... Medical, Dental, Vision * $100,000 Life Insurance & Long-Term Disability with Medical election

Sr. Controls Engineer

Benson, NC

$78K - $104K/yr

Working experience with multi - axis robotic systems (Fanuc, Kuka, ABB) and machine vision platforms (Cognex, Keyence) * Experience in heavy industrial, greenfield, chemical, or metallurgical ...

Showing results 41-60

Machine Vision information

See Raleigh, NC salary details

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$22

$30

How much do machine vision jobs pay per hour?

As of Aug 17, 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?

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 August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $46,143 per year, or $22.2 per hour.

Sr. Controls Engineer

Vulcan Elements

Durham, NC

$93K - $123K/yr

Full-time

Posted 18 days ago


Job description

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence, and Transparency.

As the Sr. Controls Engineer (FAT/CSV) you will lead automation acceptance and commissioning for a massive 1 million square foot manufacturing facility expansion. You will own the automation acceptance thread across a large OEM equipment campaign - authoring standardized FAT/SAT protocols, running the program-wide punch register; writing, modifying, and troubleshooting PLC code from punch-item fixes through commissioning and a share of live controls support. This is a high-impact, high-ownership role requiring deep technical expertise in industrial automation. Domestic and international travel to OEM facilities up to ~50% during test campaigns.

This role begins in Durham, NC and is expected to move to Benson, NC upon completion of new facility.

Responsibilities

  • Lead hands-on programming, debugging, and commissioning of Siemens and Allen Bradley/Rockwell PLCs and HMIs for new and existing automation equipment.
  • Develop, modify, and maintain PLC code structures, HMI screens, safety circuits, device mapping, and networking configurations to ensure robust and standardized automation performance across all equipment.
  • Execute the scaling-equipment design-review campaign, converting findings into hardened, detailed technical deliverables for OEM vendors.
  • Review vendor electrical schematics, controls architectures, and PLC/HMI logic. Own the FAT/SAT campaign: author standardized acceptance protocols, covering PLC logic conformance, HMI/alarm acceptance, interlock validation, and network/security verification. Run the program-wide punch list and coordinate witness assignments.
  • as-tested code, configuration baselines, punch closure evidence, and commissioning records.
  • Integrate with Quality's validation system - protocols live in Quality's framework and carry Quality's approval; you author the automation content and align with Manufacturing Engineering's master schedule and process acceptance criteria.
  • Drive the integration and commissioning of robotics, vision systems, AGVs, conveyors, and motion control systems—including servos and VFDs—to enable seamless material flow and high reliability production operations.
  • Configure and maintain communications between PLCs/HMIs and higher level systems (MES/SCADA). Develop and troubleshoot SCADA tags, transactions, alarming, and data acquisition as required.
  • Serve as a senior-level escalation point for diagnosing complex automation issues involving networks, motion systems, instrumentation, and industrial communication protocols.

Deliverables You Will Develop, Review, or Support

  • PLC code architecture, HMI screens, vision inspection programs, tag databases, MES/SCADA transaction lists, network IP lists, password inventories, and system backups. As-tested PLC code baselines, configuration backups, and acceptance evidence packages.
  • Controls risk assessments, interlock/guarding logic, and safety rated PFMEA inputs.
  • Controls layouts, network topology layouts, station cycle times, sequence diagrams, and automation simulations.
  • Electrical schematics, pneumatic drawings, controls panel layouts, and industrial network architecture.
  • FAT/SAT protocols, the program punch list, I/O checkout records, and handover packages.

Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business

Qualifications

  • Bachelor's or Master's degree in electrical engineering, Automation Engineering, Mechatronics, or related field with 7+ years of direct industrial automation and controls engineering experience.
  • Strong hands-on experience programming and commissioning Siemens and Allen Bradley/Rockwell PLCs and HMIs.
  • Demonstrated multi-vendor acceptance campaign management, disciplined change control with the ability to triage punch items to fix in situ or kick back to a vendor. Technical writing that vendors and auditors can both execute against.
  • Deep understanding of servos, VFDs, highspeed conveyors, robotic cells, and automated material handling systems.
  • Proficiency with Ethernet/IP, Profinet, EtherCAT, OPCUA, Modbus, serial, and similar industrial communication standards.

Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

Preferred Skills

  • Background as a commissioning-focused controls engineer at a system integrator or machine OEM - someone who has both written machine code and accepted other people's.
  • Robotics & Vision Systems: Working experience with multi axis robotic systems (Fanuc, Kuka, ABB) and machine vision platforms (Cognex, Keyence)
  • Experience in heavy industrial, greenfield, chemical, or metallurgical manufacturing environments.
  • Experience developing SCADA applications in Ignition, FactoryTalk, Wonderware, or similar platforms.
  • AGV integration experience
  • Familiarity with Python, C++, or other high-level languages for automation or data analytics.
  • Experience in regulated industries or such as Defense, Aerospace, or Automotive or GAMP 5 / computer system validation exposure

Physical and Environmental Requirements

The position requires regular presence on the production floor and the ability to navigate all areas of the facility. Candidates must be able to climb stairs, stand and walk for extended periods, and work in environments that may be hot, humid, or noisy. The role also requires the use of personal protective equipment, including respirators, and adherence to all applicable safety policies, procedures, and regulatory requirements. Employees must be able to complete required fit testing, wear appropriate PPE for the duration of assigned tasks, and respond safely to changing conditions within the production environment.