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Image Processing Engineer Jobs in Munster, IN (NOW HIRING)

Vision Software

IL ยท On-site

Experience in image processing systems ? Experience in TCP/IP communication ? Experience in text-based programming (C/C++/C# preferred) ? Knowledge of internal vision hardware and designs, optics ...

Senior Embedded Systems Engineer

Chicago, IL ยท 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 ...

Engineer, Application Security

Chicago, IL ยท On-site

$60.50 - $80.75/hr

... processes and with guidance from senior engineers. The ideal candidate brings hands-on software ... Contribute to container image security practices including secure base image usage, dependency ...

... processes, and eliminate technical overhead. * Core Cloud Expertise: Strong engineering experience ... Containerization and Image Automation: Advanced, hands-on experience with Docker containerization ...

Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance ... Experience with AI-enabled imaging capabilities such as image segmentation, image enhancement ...

Senior DevOps Engineer

Chicago, IL ยท On-site

$133K - $172K/yr

Where others bolt things on, we engineer them into our core systems and processes across cloud ... Experience with Docker image hardening, ECS/Fargate deployment patterns, and scripting proficiency ...

Senior DevOps Engineer

Chicago, IL

$133K - $172K/yr

Where others bolt things on, we engineer them into our core systems and processes across cloud ... Experience with Docker image hardening, ECS/Fargate deployment patterns, and scripting proficiency ...

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Image Processing Engineer information

See Munster, IN salary details

$5

$61

$87

How much do image processing engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for image processing engineer in Munster, IN is $61.07, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $65.19 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.
What cities near Munster, IN are hiring for Image Processing Engineer jobs? Cities near Munster, IN with the most Image Processing Engineer job openings:
Infographic showing various Image Processing Engineer job openings in Munster, IN as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $127,033 per year, or $61.1 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL โ€ข Remote

$80 - $150/hr

Contractor

Posted 23 days ago


Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).