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Image Processing Engineer Jobs in Indianapolis, IN

... image quality, correct lead markers, and accurate patient history. * Monitored equipment ... to engineering personnel to minimize department downtime. * Maintained a clean, orderly, and ...

MRI Tech

Indianapolis, IN · On-site

$38.58/hr

... image quality, correct lead markers, and accurate patient history. * Monitored equipment ... to engineering personnel to minimize department downtime. * Maintained a clean, orderly, and ...

Showing results 41-45

Image Processing Engineer information

See Indianapolis, IN salary details

$4

$54

$78

How much do image processing engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for image processing engineer in Indianapolis, IN is $54.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.53 and $58.61 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.

What are popular job titles related to Image Processing Engineer jobs in Indianapolis, IN?

For Image Processing Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:

What cities near Indianapolis, IN are hiring for Image Processing Engineer jobs?

Cities near Indianapolis, IN with the most Image Processing Engineer job openings:

Infographic showing various Image Processing Engineer job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $114,155 per year, or $54.9 per hour.

$14.25 - $19/hr

Internship

Posted 4 days ago


Job description

IBRI is poised to transform life sciences-and for millions of people, even life itself.

The Opportunity

The IBRI is seeking students who are interested in bioinformatics, imaging data, and computational biology. Interns will support real research projects while learning from scientists and data professionals. This intern will help analyze high-content imaging data and build tools that make large biological datasets easier to manage and understand.

Program Dates: May 17, 2027 - August 6, 2027

Application Deadline: Applications will be accepted through November 30, 2026. For priority consideration, apply by October 15, 2026.

Schedule: 35 hours per week

Stipend: This internship includes a stipend of $9,650 for the full program, disbursed in bi-weekly installments on or before the 7th and 22nd of each month

Responsibilities

  • Support high-content imaging projects and image-based data analysis.
  • Help organize and analyze large datasets from cellular images.
  • Use Python, R, or similar tools to process data and create summaries.
  • Improve documentation so analyses are clear and reproducible.
  • Work with research teams to turn data into useful insights.

Qualifications

  • High school diploma or equivalent; currently enrolled in a bachelor's program in bioinformatics, informatics, biology, or a related field.
  • Coursework or hands-on experience in bioinformatics, computational biology, or data analysis.
  • Programming or scripting experience in Python, R, or similar languages.
  • Strong analytical, reasoning, and problem-solving skills.
  • Ability to communicate technical concepts clearly to diverse audiences.
  • Strong interpersonal skills and ability to work collaboratively in a team environment.
  • Interest in bioinformatics, enabling technologies, and pediatric rare disease research.

About Us:

The Indiana Biosciences Research Institute (IBRI) is a first-in-class translational medicine institute dedicated to advancing life sciences in the race to eliminate disease and improve human health and life.

By connecting early-stage biotech companies with cutting-edge life science discoveries -and backed by the mission and resources of industry leaders, investors, and philanthropic partners-IBRI is successfully evolving a new, independent model to conquer disease, uniting previously fragmented forces in the quest for cures.

Carefully curating and supporting early-stage companies with investment, talent, and space, IBRI strategically accelerates drug discovery. Our work benefits from the relatively low cost of living and doing business here, allowing more resources to be directed toward science.

Fueled by the same entrepreneurial creativity as the groundbreaking scientific work we support, IBRI's labs advance research across the frontiers of diabetes, metabolic disease, Alzheimer's disease, and rare pediatric diseases. Our ambitious public-private vision cultivates talent while efficiently bridging the gap between research-driven inquiry and profit-driven drug development.

At IBRI, cures are launched on a clear pathway to clinical trials, enabled by the combined resources and experience of our academic and industry partners, without the typical pressure to deliver rapid results for commercialization. IBRI labs pursue breakthroughs that might never happen elsewhere. Breakthroughs are happening here. Our novel financing model ensures that when discoveries are ready for clinical trials, the intellectual property is sold back to industry or spun off, creating a direct stream of revenue.

By every measure, the IBRI model demonstrates a novel approach that delivers rewards. Scientific bench work is nurtured, drug discovery is advanced, workforce development is continuous, investors see returns, and donors see impact. Most importantly, IBRI's structure and portfolio of accomplishments matter to the patients whose lives are improved-or even saved-by this forward-looking approach to life sciences.

IBRI is driven to bring next-generation therapies to market with an understanding of the complex pressures that often bind innovation to economics. After more than a decade, the evidence is clear: IBRI is poised to transform life sciences-and for millions of people, even life itself.

Equal Employment Opportunity:

The IBRI provides equal employment opportunities to all employees and applicants and does not discriminate based on age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.