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Image Processing Engineer Jobs in Illinois (NOW HIRING)

Infleqtion

Senior Embedded Systems Engineer

Chicago, IL

$131K - $175K/yr

We encourage applications from engineers with expertise in high-performance signal processing in ... Image processing * Matrix arithmetic accelerators * Familiarity with Embedded Linux OS distribution ...

Infleqtion

Senior Embedded Systems Engineer

Chicago, IL · On-site

$131K - $175K/yr

We encourage applications from engineers with expertise in high-performance signal processing in ... Image processing * Matrix arithmetic accelerators * Familiarity with Embedded Linux OS distribution ...

Eliassen Group

Senior AI/ML Engineer

Springfield, IL · Remote

$90 - $100/hr

Senior AI/ML Engineer Anywhere Type: Contract-to-Hire Category: Development Industry: Government ... OpenCV-based image processing for document analysis. * CI/CD with Terraform, GitLab, and GitLab ...

Watchfire

Software Engineer (Embedded Systems)

Danville, IL · On-site

$126K - $166K/yr

Summary This Software Engineer position will be part of the software engineering team, helping ... Experience with image processing and rendering algorithms. * Familiarity with Agile product ...

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All JobsImage Processing Engineer JobsImage Processing Engineer Jobs in Illinois

Image Processing Engineer information

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$87

How much do image processing engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for image processing engineer in Illinois is $60.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $64.76 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.
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What are popular job titles related to Image Processing Engineer jobs in IL? For Image Processing Engineer jobs in IL, the most frequently searched job titles are:
Image Processing Engineer jobs near you
Gen AI Engineer Gen AI Engineer

Gen AI Engineer Gen AI Engineer

Inherent Technologies

Chicago, IL

Other

Posted 10 days ago

Job description

AI/ML with Life science domain with image processing

Expert Proficiency In Machine Learning Frameworks Such As Tensorflow And Pytorch.
2. Strong Programming Skills In Python, With A Good Understanding Of Associated Libraries And Tools.
3. Solid Experience In Sql For Data Manipulation And Management.
4. In-Depth Knowledge Of Machine Learning Algorithms And Model Development Processes.
5. Familiarity With Data Preprocessing, Feature Engineering, And Model Evaluatio


Rohit Chauhan

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