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Image Processing Engineer Jobs in Michigan (NOW HIRING)

Magna

AI/ML ADAS Perception Engineer

Auburn Hills, MI · On-site

A strong background in image processing, machine learning, and mathematics/physics is required ... Excellent programming skills with C or C++; familiarity with Python with proficiency in deep ...

twenty80.io

Imaging Systems Engineer

Zeeland, MI

$95K - $105K/yr

This role is responsible for improving image quality through image signal processing (ISP) tuning, testing, data analysis, and collaboration with cross-functional engineering teams. The Camera Tuning ...

Twenty80 llc

Imaging Systems Engineer

Zeeland, MI · On-site

This role is responsible for improving image quality through image signal processing (ISP) tuning, testing, data analysis, and collaboration with cross‑functional engineering teams. The Camera ...

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How much do image processing engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for image processing engineer in Michigan is $54.55, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $58.27 per hour, depending on experience, location, and employer.

What does an image processing engineer do?

An Image Processing Engineer designs, develops, and implements algorithms and systems to analyze, enhance, and manipulate digital images. They work on tasks such as image filtering, feature extraction, pattern recognition, and computer vision applications. Their work is used in a variety of fields including medical imaging, robotics, surveillance, and multimedia. They often use programming languages like Python or C++ and tools like OpenCV or MATLAB to solve complex image-related problems.

What does an image processing engineer do?

An image processing engineer assists with the entire life cycle of data classification algorithms and image processing for a company. Your responsibilities in this career are to analyze data, write reports, develop methods for feature extraction and classification, research basic to advanced image processing algorithms, give presentations, and create visual interpretations of data. Your duties also include working on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. You also develop algorithms for real 3D images and accurate wireless tracking.

What are the key skills and qualifications needed to thrive as an image processing engineer, and why are they important?

To thrive as an Image Processing Engineer, you need a strong background in mathematics, computer vision, and programming (often with a degree in computer science, electrical engineering, or a related field). Familiarity with tools and libraries such as OpenCV, MATLAB, Python, and machine learning frameworks is typically expected, along with experience in image analysis algorithms. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex results. These skills are crucial for developing robust image processing solutions that meet technical requirements and drive innovation in fields like healthcare, automotive, and security.

What are some common challenges image processing engineers face when working on cross-functional teams?

Image Processing Engineers often collaborate with data scientists, software developers, and hardware engineers, which can present challenges in aligning technical requirements and timelines. One frequent hurdle is ensuring that image processing algorithms integrate seamlessly with broader system architectures, especially when resources or real-time performance constraints are involved. Clear communication and adaptability are key, as team members may have differing levels of understanding of image processing concepts. Building strong collaborative relationships and regularly sharing progress can help overcome these challenges and ensure project success.

What is the difference between Image Processing Engineer vs Computer Vision Engineer?

AspectImage Processing EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of image processing algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision techniques
Work EnvironmentResearch labs, tech companies, imaging hardware firmsTech companies, autonomous vehicles, robotics, AI firms
Industry UsageFocus on image enhancement, filtering, and analysisFocus on object detection, scene understanding, and AI integration

While both roles involve working with visual data, Image Processing Engineers primarily focus on improving and analyzing images through algorithms, whereas Computer Vision Engineers develop systems that interpret and understand visual information for applications like autonomous vehicles and AI. The roles often overlap but differ in their core objectives and application areas.

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Image Processing Engineer jobs near you
Infographic showing various Image Processing Engineer job openings in Michigan as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $113,456 per year, or $54.5 per hour.

Senior Vision Automation Engineer -1531

Lansing, MI • On-site

CSI - Control System Integrators
See more jobs at CSI - Control System Integratorsexternal

$105K - $138K/yr

Full-time

Posted 10 days ago

Job description

Responsibilities
  • Lead the design, development, testing, integration, and commissioning of industrial machine-vision applications.
  • Review customer requirements and determine the technical feasibility, risks, limitations, and appropriate inspection methodology for machine-vision applications.
  • Define machine-vision system architecture and select appropriate cameras, lenses, lighting, filters, 3D sensors, computing hardware, and related equipment.
  • Perform optical calculations and determine appropriate field of view, resolution, working distance, depth of field, exposure, and lighting requirements.
  • Develop, optimize, and validate 2D and 3D machine-vision inspections using commercial vision platforms and/or image-processing libraries.
  • Develop inspection solutions involving image acquisition, preprocessing, feature extraction, measurement, pattern matching, segmentation, surface inspection, and defect detection.
  • Plan and perform laboratory feasibility studies using representative production samples and define the operating limitations of proposed inspection methods.
  • Diagnose and resolve complex issues involving optics, lighting, image processing, software, networking, electrical systems, mechanical conditions, timing, vibration, and automation interfaces.
  • Lead machine debugging, runoff, installation, commissioning, and production-launch activities related to machine vision.
  • Communicate directly with customers and internal project teams regarding inspection performance, technical risks, application limitations, required changes, and project status.
  • Travel to customer manufacturing facilities as required for testing, installation, debugging, runoff, commissioning, and production support.

Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, Robotics, Physics, Optical Engineering, or a related technical discipline; or equivalent relevant professional experience.
  • 5+ years of professional experience in machine vision, industrial automation, robotics, computer vision, or a closely related technical field.
  • Demonstrated ability to independently develop and commission industrial machine-vision systems.
  • Strong understanding of digital imaging, optics, and machine-vision fundamentals, including resolution, exposure, focus, field of view, working distance, depth of field, contrast, sensor characteristics, and image formation.
  • Strong understanding of machine-vision lighting techniques and their application to diffuse, textured, reflective, and difficult-to-image surfaces.
  • Experience selecting and configuring industrial cameras, lenses, lighting, filters, sensors, and related vision hardware.
  • Experience developing 2D and/or 3D inspection applications using commercial machine-vision platforms or image-processing libraries.
  • Experience integrating machine-vision systems with PLCs, robots, HMIs, motion systems, or other industrial automation equipment.
  • Strong analytical and troubleshooting skills with the ability to identify root causes across optical, software, electrical, networking, and mechanical systems.
  • Ability to independently perform technical feasibility evaluations and communicate application limitations and risks.
  • Strong written and verbal communication skills, including the ability to communicate technical issues with customers and multidisciplinary engineering teams.
  • Willingness to travel to customer manufacturing facilities and support equipment installation, testing, runoff, commissioning, and production launch.
  • Experience with Zebra Aurora Vision Studio, Cognex VisionPro, Keyence, HALCON, or similar machine-vision platforms.

Preferred
  • Experience with advanced imaging techniques such as photometric stereo, polarization, HDR imaging, telecentric optics and similar.
  • Experience developing multi-camera or distributed machine-vision systems.
  • Experience with deep-learning-based machine-vision inspection.
  • Automotive or manufacturing experience.
  • A3 Certified Vision Professional (CVP) - Advanced certification.

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