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Image Processing Engineer Jobs in Michigan (NOW HIRING)

Management Business Solutions

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Imaging Systems Engineer

Zeeland, MI · On-site

$95K - $105K/yr

The Camera Tuning Engineer will develop a deep understanding of image signal processing pipelines, fine-tune those pipelines for optimal results, and collaborate across engineering and stakeholder ...

twenty80.io

Imaging Systems Engineer

Zeeland, MI · On-site

$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 ...

New

Megan soft Inc

AI Engineer (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

... language processing, image processing, cognitive automation, intelligent process automation ... programming * Research and optimize AI technologies to enhance efficiency and accuracy of data ...

Stellantis

Principal SW Developer

Auburn Hills, MI · On-site

$127K - $171K/yr

Seeking a talented Senior Design Engineer to join our global team and will be responsible Oversee ... Image Processing: OpenCV, ISP tuning, HDR fusion, denoise, demosaic, geometric undistortion, seam ...

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Image Processing Engineer information

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How much do image processing engineer jobs pay per hour?

As of Jul 16, 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 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.

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 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 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.
More about Image Processing Engineer jobs
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What are popular job titles related to Image Processing Engineer jobs in MI? For Image Processing Engineer jobs in MI, the most frequently searched job titles are:
Image Processing Engineer jobs near you
Imaging Systems Engineer

Imaging Systems Engineer

Management Business Solutions

Zeeland, MI • On-site

$95K - $105K/yr

Full-time

Posted 14 days ago

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Job description

SUMMARY: Management Business Solutions is seeking a Imaging Systems Engineer for its client in West Michigan Area. This individual will contribute to the development and improvement of vision products by creating and executing tests and data collection to define changes that enhance image quality across various product lines. The Camera Tuning Engineer will develop a deep understanding of image signal processing pipelines, fine-tune those pipelines for optimal results, and collaborate across engineering and stakeholder teams to meet the unique image quality needs of diverse product use cases.

RESPONSIBILITIES:

  • Build hands-on expertise across multiple ISP pipeline architectures and the toolsets that support them.
  • Adjust and optimize ISP pipeline parameters to deliver high-quality imaging output across product lines.
  • Work closely with Software Engineering teams to define, review, and integrate pipeline modifications.
  • Engage with internal stakeholders to understand and address image quality requirements unique to each product use case.
  • Gather and analyze image data, blending quantitative metrics with perceptual assessments to inform quality improvement decisions.
  • Serve as a point of contact with ISP vendors when image quality issues require external escalation.
  • Design and run both scripted and hands-on test procedures to validate imaging performance.
  • Assist in resolving image quality concerns raised through customer programs and field feedback.
  • Other duties as assigned.

QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related discipline.
  • Minimum of 2 years of hands-on experience in image quality evaluation or analysis.
  • Strong proficiency in scripting and data analysis using Python and/or MATLAB.
  • Background in photography or videography, with working knowledge of camera systems and controls.
  • Familiarity with source code management platforms such as GitHub or similar tools.
  • Experience with image processing pipelines.
  • Ability to diagnose and resolve issues across both hardware and software components.
  • Strong analytical mindset with a track record of creative, effective problem-solving.
  • Comfortable working within the Microsoft Office Suite.
  • Background in Automotive, Aerospace, Fire Protection, or a similar industry is a plus.
  • Familiarity with signal processing concepts and working with time-series datasets is a plus.
  • Exposure to Linux environments, software development lifecycle practices, and agile workflows is a plus.
  • Experience with embedded systems, including hardware and software integration, is a plus.

MANAGEMENT BUSINESS SOLUTIONS IS AN EQUAL-OPPORTUNITY EMPLOYER