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Machine Vision Jobs in Michigan (NOW HIRING)

Atlas Copco

Project Engineer

Plymouth, MI · On-site

Job Responsibilities • Install, commission, test, and debug machine vision systems at customer facilities. • Travel extensively to customer sites to support project implementation and ...

Tri-Mation Industries

Sales Engineer

Mattawan, MI · On-site

$70K - $85K/yr

At Tri-Mation, you'll work alongside a team of industry experts focused on delivering custom automation systems, robotic assembly equipment, machine vision systems, test systems, and turnkey ...

Clinton Machine, Inc

Machine Shop - Machinist

Ovid, MI · On-site

Clinton Machine specializes in the design & build of custom automated equipment, robotic work cells ... Medical, Dental and Vision Insurance available * 401k Pension Plan * Profit-Sharing Plan * Company ...

Tri-Mation Industries

Sales Engineer

Mattawan, MI · On-site

$70K - $85K/yr

At Tri-Mation, you'll work alongside a team of industry experts focused on delivering custom automation systems, robotic assembly equipment, machine vision systems, test systems, and turnkey ...

G-TECH Services

Be Seen First

Plc Controls Engineer

Dearborn, MI · On-site

$40 - $42.50/hr

Support assembly and machining manufacturing systems * Troubleshoot PLC, CNC, robot, vision, and automation equipment issues * Coordinate with suppliers and cross-functional teams * Support ...

Dart Machinery LTD

Machine Operator

Warren, MI · On-site

$16 - $19/hr

Dart Machinery , a Race Winning Brands company in Warren, Michigan is seeking candidates for ... Eligible for medical, dental, vision insurance as of day one. * Employer paid life and disability ...

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All JobsMachine Vision JobsMachine Vision Jobs in Michigan

Machine Vision information

See Michigan salary details

$12

$19

$27

How much do machine vision jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for machine vision in Michigan is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $22.21 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Machine Vision jobs in Michigan?

For Machine Vision jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Machine Vision jobs in Michigan look for?

The top searched job categories for Machine Vision jobs in Michigan are:

Machine Vision jobs near you
Infographic showing various Machine Vision job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 5% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $41,373 per year, or $19.9 per hour.

Automation Integration Engineer

Our Next Energy Inc

Novi, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description
Job Description

This role serves as a critical link between manufacturing engineering, controls, equipment suppliers, operations, maintenance, quality, and IT/OT teams to ensure automated equipment is successfully integrated into ONE's manufacturing environment and achieves required safety, quality, throughput, reliability, and operational performance.

The Automation Integration Engineer will provide hands-on technical leadership during equipment installation, commissioning, launch, and production ramp. The ideal candidate combines strong controls and automation expertise with practical manufacturing experience and is comfortable troubleshooting complex equipment directly on the production floor.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Automation & Controls Integration

  • Integrate automated manufacturing equipment, controls, robotics, sensors, vision systems, and supporting technologies into ONE manufacturing operations
  • Develop, modify, troubleshoot, and optimize PLC and HMI applications
  • Support integration of PLCs, industrial networks, robots, drives, safety systems, vision systems, and manufacturing equipment
  • Establish and validate communication between machines, production systems, manufacturing execution systems (MES), databases, and other plant-level systems as applicable
  • Develop and maintain equipment communication standards and interface requirements
  • Review electrical controls architecture, schematics, control panels, I/O configurations, network architecture, and equipment documentation
  • Ensure automation solutions comply with ONE engineering standards and applicable industry requirements

Equipment Launch & Commissioning

  • Participate in equipment design reviews and provide automation and controls input throughout the equipment development lifecycle
  • Support Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), installation, commissioning, and production validation
  • Work directly with machine builders and system integrators to resolve controls, programming, communication, and equipment performance issues
  • Lead or support equipment debug during installation and production ramp
  • Verify equipment meets defined cycle time, uptime, quality, safety, and process capability requirements after final acceptance
  • Identify integration risks early and develop mitigation plans after equipment reaches the production floor
  • Support equipment handoff from Advanced Manufacturing Engineering to Operations and Maintenance

Robotics & Advanced Automation

  • Integrate and troubleshoot industrial robotic systems used for material handling, assembly, dispensing, inspection, welding, and other automated processes
  • Support programming and optimization of robotic applications
  • Integrate machine vision, barcode/RFID, traceability, sensors, servo systems, drives, and automated material handling equipment
  • Support implementation of collaborative robotics and other advanced manufacturing technologies where appropriate
  • Evaluate new automation technologies that can improve safety, quality, productivity, flexibility, or manufacturing cost

Troubleshooting & Production Support

  • Provide advanced technical support for automation and controls issues affecting production
  • Troubleshoot PLC logic, industrial networks, robotics, sensors, servo systems, drives, safety circuits, machine vision, and electrical controls
  • Lead structured root cause analysis for recurring automation-related downtime
  • Implement permanent corrective actions rather than relying on temporary equipment fixes
  • Analyze equipment downtime and performance data to identify opportunities for improvement
  • Partner with Maintenance and Operations to improve Mean Time Between Failure (MTBF) and Mean Time to Repair (MTTR)
  • Provide escalation support for complex equipment failures

Manufacturing Systems Integration

  • Support integration between production equipment and MES, SCADA, historian, traceability, and manufacturing data systems
  • Ensure equipment generates accurate and reliable production, quality, process, and traceability data
  • Partner with IT/OT and cybersecurity resources to ensure industrial networks and connected equipment meet ONE requirements
  • Support standardized communication protocols and data structures across manufacturing equipment
  • Participate in Industry 4.0 and smart manufacturing initiatives

Equipment Standards & Documentation

  • Develop and maintain ONE automation and controls standards
  • Review supplier equipment designs for compliance with ONE specifications
  • Maintain PLC programs, HMI applications, robot programs, electrical drawings, network documentation, backups, and revision history
  • Develop troubleshooting guides and technical documentation for Maintenance and Operations
  • Support creation of spare-parts strategies for critical automation components
  • Ensure equipment changes follow appropriate change-control processes

Continuous Improvement

  • Identify opportunities to improve equipment cycle time, uptime, quality, ergonomics, and reliability
  • Use manufacturing and equipment data to identify chronic losses and improvement opportunities
  • Support automation upgrades and equipment modifications
  • Participat

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