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Image Processing Engineer Jobs in Wisconsin (NOW HIRING)

Appvion, LLC

Reliability Engineer

Appleton, WI

$100K - $125K/yr

Our solutions leverage a unique blend of proprietary processes and technical expertise to provide ... consistent image quality for pressure-sensitive and non-pressure-sensitive applications.As a ...

M2S Group

Reliability Engineer

Appleton, WI · On-site

$100K - $125K/yr

Our solutions leverage a unique blend of proprietary processes and technical expertise to provide ... consistent image quality for pressure-sensitive and non-pressure-sensitive applications. As a ...

Ducommun

Quality Engineer

Appleton, WI · On-site

$70K - $90K/yr

Recommend more efficient and quality-oriented processes * Provide customer interface on quality ... company image to attract business. * Negotiation and conflict management skills together with ...

Direct Supply

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $158K/yr

... image-based diagnostics, and automated content creation into products. • Drive adoption of AI ... across natural language processing, computer vision, and generative models. Preferred : • ...

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Image Processing Engineer information

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$5

$63

$90

How much do image processing engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for image processing engineer in Wisconsin is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $67.45 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 WI? For Image Processing Engineer jobs in WI, the most frequently searched job titles are:
Image Processing Engineer jobs near you
Infographic showing various Image Processing Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $131,388 per year, or $63.2 per hour.

Leo Cancer Care: Senior Software Engineer Interoperability

Centaur Health Holdings

Middleton, WI • On-site

$125K - $165K/yr

Other

Posted 17 days ago

Job description

Salary:

Position Title: Senior Software Engineer Interoperability

Reports to: Senior Manager Global Software Engineering

FT/PT : Full-time

Location: US Office, Hybrid- Office 3 days a week

Position Summary: Join our dynamic engineering team to help develop our revolutionary radiotherapy products for upright therapy. This role sits at the intersection of medical device software engineering and clinical systems integration, with a primary focus on DICOM-RT interoperability between our treatment system and the broader clinical ecosystem including Oncology Information Systems (OIS), PACS servers, and other networked medical devices.

The ideal candidate brings deep hands-on experience with DICOM-RT standards, network-level system integration, and medical device software development under IEC 62304. You will play a key technical leadership role in defining and implementing the interoperability architecture that connects our treatment delivery system to the clinical workflow, working closely with partners, clinical customers, and internal cross-functional teams.

The position requires flexibility in daily tasks with attention to detail and a self-motivated work ethic. The successful candidate will havedemonstratedexperience working in cross-functional and cross-disciplinary teams and providing technical leadership in the development of novel products.

Key responsibilities:

  • Lead the design, specification, and implementation of DICOM-RT interoperability features, including RT Plan, RT Dose, RT Structure Set, RT Image, and RT Ion Plan objects.
  • Architect and develop network API interfaces enabling communication between the treatment delivery system, OIS (e.g.ARIA,Mosaiq), and PACS servers.
  • Define andmaintainthe systems DICOM Conformance Statement and related integration documentation.
  • Drive end-to-end integration testing with clinical systems, including HL7/FHIR messaging where applicable.
  • Perform as a technical lead on significant software development projects spanning interoperability and clinical connectivity.
  • Write specifications, requirements, design documents, and test protocols for software projectsin accordance withIEC 62304 and thecompanydesign control process.
  • Develop safety-critical software for imaging and treatment delivery systems.
  • Work with external partners and clinical customers to develop,validate, and support system interfaces and integrations.
  • Contribute to the design and development of service and validation tools for DICOM interoperability.
  • Provide engineering support to partners, customers, and field service teams.
  • Support regulatory submissions (e.g.510(k)) as they relate to interoperability and software.
  • Contribute to system architecture and software development process improvements.
  • Mentor less experienced engineers in interoperability standards and medical device software practices.
  • Manage contractors relating to softwarecomponentdevelopment where applicable.

Relevant Knowledge and Skill requirements:

DICOM-RT and Clinical Interoperability

  • Deep working knowledge of DICOM-RT standards: RT Plan, RT Dose, RT Structure Set, RT Image, RT Ion Plan, and related SOP classes.
  • Practical experience integrating radiotherapy treatment systems with Oncology Information Systems (OIS) such as Varian ARIA or ElektaMosaiq, and PACS servers.
  • Proficiencywith DICOM networking protocols: C-STORE, C-FIND, C-MOVE, C-GET, DICOM TLS, Storage Commitment, and Worklist services.
  • Experience developing ormaintaininga DICOM Conformance Statement.
  • Familiarity with HL7 v2 and/or FHIR messaging as used in oncology workflows isadvantageous.
  • Understanding of IHE Radiation Oncology profiles (e.g.RO-PIR, IHE-RO) is a plus.

Medical Device Software Engineering

  • Proven experience developing medical device software in compliance with IEC 62304, including software lifecycle planning, classification, architecture, unit testing, and maintenance.
  • Familiarity with associated standards and guidance: ISO 14971 (risk management), IEC 62443 (cybersecurity), and applicable FDA/CE regulatory requirements for software.
  • Experience supporting regulatory submissions (510(k), CE Technical File) for software-intensive medical devices.
  • Experience with design and specification of software systems using UML.

Networking and Software Engineering

  • Solid understanding of TCP/IP networking: routing, firewalls, VLANs, TLS/SSL, and network security as it applies to connected medical devices.
  • Experience with REST and/orgRPCAPI design and integration in a clinical or embedded systems context.
  • Strong programming skills in Python and at least one of C++, C#, or Java.
  • Experience with Linux, shell scripting, and systems-level debugging.
  • Proficiencywith version control (Git), CI/CD pipelines, and software testing frameworks.

Experience

  • Minimum 5 years of domain-specific experience in medical device software engineering within radiotherapy, radiation oncology, or a closely related imaging/treatment modality.
  • 10+ years of total software engineering experience, withdemonstratedseniority in at least one prior role, is strongly preferred.
  • Experience working in cross-functional teams including clinical physics, systems engineering, quality, and regulatory affairs.
  • Ability to mentor and provide technical leadership to less experienced engineers.

About Leo Cancer Care

Leo Cancer Care is helping make changes in Radiation Therapy by shifting to upright patient positioning, imaging and treatment. We do what we do to find a better way, a better way to treat cancer and create a paradigm shift in radiation therapy to benefit all. We will do this by improving the accessibility and medicine in cancer care globally, making cancer treatment a more human experience for all.

Working in radiotherapy not only will you be driving change for the greater good, but you'll be working on products that span a large field of different disciplines.

Ways of Working

Leo Cancer Care is dedicated to fostering a diverse and inclusive workplace environment. We embrace and celebrate the unique backgrounds, experiences, and perspectives of all individuals. We believe that diversity enriches our organization and strengthens our ability to innovate and excel. Discrimination or harassment of any kind will not be tolerated. We encourage all qualified candidates to apply and join us in our mission to create a respectful and equitable workplace for all.


Leo Cancer Care is an equal opportunity employer.