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Machine Vision Engineer Jobs in North Carolina (NOW HIRING)

Vulcan Elements

Sr. Manufacturing Engineer

Durham, NC

$87K - $120K/yr

Hands-on experience with machine vision programming (e.g., Cognex, Keyence). * Familiarity with MES (Manufacturing Execution Systems) implementation and transaction mapping. * Experience in highly ...

NCW

Raleigh, NC - Mechanical Engineer

Morrisville, NC · On-site

Mid-Level Mechanical Engineer Raleigh, NC (open to relocating candidates) Join us at the forefront ... Experience integrating machine vision and 3D laser sensors. What you'll do: * Work with clients and ...

Technical Source

Mechanical Engineer

Morrisville, NC

Mechanical Engineer - Mid Level Location: Morrisville, NC (On site only) Company: Technical Source ... Experience integrating machine vision and/or 3D laser sensors Work environment * Fully on site role ...

NCW

Raleigh, NC - Sr. Mechanical Engineer

Morrisville, NC · On-site

$97K - $129K/yr

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:

TARGAN Inc.

Automation Controls Engineer

Raleigh, NC · On-site

$90 - $120/hr

Programming of modern PLC/PAC devices using IEC61131-3 compliant languages. * Integration of I/O ... Integration of machine vision and other pieces of equipment using the above protocols.

MSD

Manufacturing Automation Specialist

Wilson, NC · On-site

$87K - $137K/yr

Technical expert with demonstrated expertise in PLC Programming & Troubleshooting, HMI Development & Support, Robotics, Machine Vision, Industrial Networks, SDLC/CSV, Change Control, GMP ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

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 ...

Merck & Co.

$90K - $119K/yr

The role provides automation expertise across PLC, HMI, machine vision, serialization, MES, IT and ... Provide mentoring, coaching, and technical knowledge sharing across engineering, maintenance, and ...

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Showing results 21-40

All JobsMachine Vision Engineer JobsMachine Vision Engineer Jobs in North Carolina

Machine Vision Engineer information

See North Carolina salary details

$28.6K

$117K

$175.9K

How much do machine vision engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine vision engineer in North Carolina is $117,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $140,900.00 per year, depending on experience, location, and employer.

What is a machine vision engineer?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What does a machine vision engineer do?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

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

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What are the most commonly searched types of Machine Vision Engineer jobs in North Carolina?

The most popular types of Machine Vision Engineer jobs in North Carolina are:

What are popular job titles related to Machine Vision Engineer jobs in North Carolina?

For Machine Vision Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Machine Vision Engineer jobs in North Carolina look for?

The top searched job categories for Machine Vision Engineer jobs in North Carolina are:

Machine Vision Engineer jobs near you
Infographic showing various Machine Vision Engineer job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 13% Part Time, 7% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,026 per year, or $56.3 per hour.

SR MANUFACTURING ENGINEER-Greensboro,North Carolina

TE Connectivity

Wallburg, NC

$102K - $128K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago

TE Connectivity rating

7.6

Company rating: 7.6 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

85th of 161 rated electronics manufacturers

Job description

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Description:
Job Overview
We are seeking an experienced Senior Manufacturing Engineer to support our Automated Assembly operations. This role is responsible for improving manufacturing safety, quality, productivity, equipment performance, and process capability while providing hands-on technical leadership to production.
The Senior Manufacturing Engineer will lead continuous improvement initiatives, troubleshoot complex manufacturing issues, support new product and equipment launches, and drive improvements in OEE, scrap, cycle time, downtime, capacity, and cost.
Job Responsibilities
Manufacturing and Process Improvement
  • Lead process and equipment improvements focused on safety, quality, productivity, scrap reduction, OEE, downtime, cycle time, and capacity
  • Identify and implement continuous improvement opportunities using TEOA/Lean Manufacturing principles
  • Analyze manufacturing performance and develop practical solutions to improve process capability, equipment reliability, and operational efficiency
  • Support customer quality issues and corrective actions through structured root-cause analysis
  • Apply engineering tools such as PFMEA, Control Plans, SPC, MSA, DOE, capability studies, 8D, and 5 Why as appropriate

Production and Technical Support
  • Provide hands-on engineering support to high-volume automated assembly operations
  • Troubleshoot complex mechanical, electrical, tooling, pneumatic, controls, vision, and automation-related issues
  • Work closely with Production, Quality, Tooling, Controls, Maintenance, and other technical teams to resolve manufacturing problems
  • Support tooling, fixtures, dies, gauges, sensors, servos, pneumatic systems, and industrial automation equipment
  • Support machine vision systems, including platforms such as Cognex and Keyence

New Equipment and Product Introduction
  • Support new product introductions, capacity expansions, equipment transfers, and equipment qualifications
  • Develop technical requirements and support the specification, purchase, installation, debugging, qualification, and launch of manufacturing equipment
  • Work with machine builders, automation integrators, suppliers, and internal teams to ensure equipment meets manufacturing requirements
  • Support process validation, capability studies, production readiness, and equipment qualification activities

Project and Technical Leadership
  • Lead capital, productivity, safety, and continuous improvement projects
  • Manage multiple projects and production priorities simultaneously
  • Prepare technical recommendations, equipment specifications, capital justifications, reports, and process documentation
  • Present technical issues, recommendations, and project updates to leadership
  • Lead cross-functional teams and mentor engineers, technicians, and manufacturing personnel without direct reporting responsibility

What your background should look like
Required Qualifications
  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Mechatronics Engineering, Electrical Engineering, or a related engineering discipline preferred. Equivalent technical and manufacturing experience may also be considered.
  • Minimum of 5 years of Manufacturing Engineering experience, preferably in a high-volume automated manufacturing environment.
  • Strong hands-on troubleshooting and root-cause analysis skills
  • Experience supporting automated manufacturing or automated assembly equipment
  • Working knowledge of mechanical systems, tooling, pneumatics, PLCs, controls, sensors, servos, robotics, and industrial automation
  • Experience leading manufacturing improvement, automation, productivity, or capital projects
  • Experience with CAD software and strong proficiency with Microsoft Excel
  • Strong communication, teamwork, problem-solving, and organizational skills
  • Ability to work independently, prioritize effectively, and lead cross-functional activities

Preferred Qualifications
  • Machine vision experience, particularly Cognex and/or Keyence
  • PLC and controls troubleshooting experience
  • Experience leading or supporting automated equipment design, build, installation, and qualification
  • Experience working with machine builders or automation integrators
  • Knowledge of tooling design, machining, dies, fixtures, gauges, and manufacturability
  • Lean Manufacturing, Six Sigma, TEOA, TPS, or DMAIC experience or certification
  • Project management experience
  • Master's degree in Engineering or a related technical discipline
  • Experience in Automotive, Aerospace, or another highly regulated manufacturing environment

Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
COMPENSATION
• Competitive base salary commensurate with experience: $102,500 - $128,100 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

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