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Machine Vision Software Engineer Jobs in Michigan

GitHub * Machine Learning Experience Required: * 5+ years of progressive experience in data ... Vision * Personal Time Off (PTO) Program * Long Term Disability (100% paid) * Life Insurance (100 ...

Java * Machine Learning * AWS * GCP * COBOL Skills Preferred: * Product Management * J2EE ... Vision * Personal Time Off (PTO) Program * Long Term Disability (100% paid) * Life Insurance (100 ...

Building a Simulink state machine to model a vehicle lighting or door control feature, running ... Vision * Personal Time Off (PTO) Program * Long Term Disability (100% paid) * Life Insurance (100 ...

Work directly with Keyence, Photoneo, and Matrox camera systems to set up and maintain machine ... Troubleshoot and resolve issues related to vision hardware, software, and robotic integration.

Software Engineer Full-time Kalamazoo, MI, US Exclusive confidential search -- details shared with ... Dental and vision insurance * Voluntary optional life and accident insurance * Hospital indemnity ...

Applied machine learning experience encompassing embeddings, classification, clustering, natural ... Vision * Personal Time Off (PTO) Program * Long Term Disability (100% paid) * Life Insurance (100 ...

Vision systems engineering technicians support the installation and integration of machine vision ... machine vision applications involve taking a picture of a part or assembly, and then using software ...

Software Engineer #1061088 * Employees in this job function are responsible for designing ... Vision * Personal Time Off (PTO) Program * Long Term Disability (100% paid) * Life Insurance (100 ...

The successful candidate will perform selected software engineering development and maintenance ... Machine Control experience a plus. Location & Authorization: This is a hybrid role requiring ...

The successful candidate will perform selected software engineering development and maintenance ... Machine Control experience a plus. Location & Authorization: This is a hybrid role requiring ...

The successful candidate will perform selected software engineering development and maintenance ... Machine Control experience a plus. Location & Authorization: This is a hybrid role requiring ...

Showing results 21-40

Machine Vision Software Engineer information

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a machine vision software engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What are popular job titles related to Machine Vision Software Engineer jobs in Michigan? For Machine Vision Software Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Machine Vision Software Engineer jobs? Cities in Michigan with the most Machine Vision Software Engineer job openings:
Infographic showing various Machine Vision Software Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Computer Vision & Physical AI Integration Engineer

Lear Corporation

Southfield, MI • On-site

$96K - $129K/yr

Full-time

Posted 10 days ago


Lear Corporation rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

102nd of 157 rated electronics manufacturers


Job description

Lear For You
We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you.
A path to a better career. A better future.
Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we're named one of the World's Most Admired Companies.
They're the secret to our success-empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.
Are you ready for a better career? A better future?
Job Description
  • The Computer Vision & AI Integration Engineer is responsible for identifying, evaluating, and deploying advanced vision, sensing, and AI-enabled solutions across Lear's E-Systems manufacturing operations.
  • This role focuses on improving quality, productivity, traceability, and operator effectiveness through technologies such as machine vision, intelligent inspection, edge AI, industrial sensors, robotics, and automated decision support systems.
  • Working within the Digital and Automation organization, the engineer partners with manufacturing engineering, plant operations, and external technology providers to develop proof-of-concepts, validate business value, and scale successful solutions across Lear's global manufacturing network
  • Join a highly visible group shaping the future of manufacturing through computer vision, AI, and advanced automation, with regular engagement across engineering, operations, and executive leadership.
  • Be part of a fast-growing innovation organization with the autonomy to identify opportunities, lead new technology deployments, and help define Lear's global advanced manufacturing strategy

Responsibilities
  • Identify high-value use cases for computer vision, intelligent inspection, AI-enabled automation, and advanced sensing technologies
  • Define technical standards, best practices, and deployment documentation for vision and AI-enabled applications
  • Collaborate with suppliers to implement vision systems for applications including defect detection, assembly verification, process monitoring, traceability, and quality control
  • Evaluate and select cameras, lighting systems, sensors, AI platforms, robotics solutions, and system integration partners
  • Lead proof-of-concept and pilot projects from requirements definition through technical validation and deployment
  • Cooperate with automation, manufacturing engineering, IT, and digital teams to integrate solutions into existing equipment and production systems
  • Support deployment and standardization of successful solutions across multiple manufacturing plants.
  • Troubleshoot and optimize system performance in production environments
  • Monitor emerging technologies in computer vision, industrial AI, robotics, and smart manufacturing to identify new opportunities for operational improvement
  • Up to 25% travel

Education Requirements
  • Bachelor's degree in Electrical Engineering, Mechatronics, Robotics, Computer Engineering, Industrial Engineering, Computer Science, or a related field

Experience Requirements
  • 3+ years of experience in manufacturing automation, machine vision, robotics, industrial controls, or AI-enabled manufacturing solutions
  • Experience evaluating and managing automation, vision, AI, robotics, or system integration vendors.
  • Strong understanding of manufacturing automation technologies, including PLCs, HMIs, industrial networks, and production equipment integration.
  • Demonstrated success leading technical pilots, prototypes, or implementation projects from concept through deployment.
  • Ability to solve complex manufacturing challenges through structured problem-solving and technology application.
  • Strong communication and collaboration skills across engineering, operations, IT, and external partners.

Bonus If You Have:
  • Hands-on experience with computer vision, deep learning, AI-based inspection, or edge computing applications.
  • Experience in wire harness manufacturing environments.
  • Familiarity with MES, SCADA, industrial data platforms, and manufacturing system integration.

Certifications / Licenses
Equal Opportunity Employer
Lear Corporation is committed to fair, merit-based employment practices and equal opportunity.
We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
Location Code: 0065

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