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Machine Vision Software Engineer Jobs in Muncie, IN

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Controls Engineer Comp: $80,000-$115,000 Location: Anderson, IN (Onsite) Our client is seeking ... Design and implement electrical, pneumatic, and software-based control systems for custom machine ...

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... and/or programming Experience operating a panel saw Cabinet shop or woodworking experience ... Mozaik software preferred Experience with Cabinet Vision or similar software is a plus We are ...

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... and/or programming Experience operating a panel saw Cabinet shop or woodworking experience ... Mozaik software preferred Experience with Cabinet Vision or similar software is a plus We are ...

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Machine Vision Software Engineer information

See Muncie, IN salary details

$58.9K

$136.8K

$190.6K

How much do machine vision software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine vision software engineer in Muncie, IN is $136,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $160,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

A highly experienced Machine Vision Software Engineer working in specialized industries such as autonomous vehicles, aerospace, or advanced robotics can earn $500,000 or more annually. These roles often require advanced skills in computer vision, deep learning, and extensive experience, sometimes supplemented by leadership responsibilities or equity compensation.

What does a Machine Vision Software Engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges Machine Vision Software Engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a Machine Vision Software Engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex AI systems. AI is more likely to augment rather than fully replace MLE roles, which require expertise in data handling, model tuning, and deployment. Staying current with evolving AI frameworks and programming skills is important for MLEs to remain valuable in the field.

What does a machine vision engineer do?

A machine vision engineer designs and develops systems that enable computers to interpret and analyze visual data using cameras, sensors, and image processing algorithms. They often work with programming languages like C++ or Python, and tools such as OpenCV or MATLAB, to create applications for quality inspection, robotics, or automation. The role typically requires knowledge of computer vision, image processing, and sometimes machine learning or deep learning techniques.

What tech jobs pay $400,000 a year?

High-paying tech roles such as senior machine vision software engineers, AI researchers, and data science directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in machine learning and computer vision, and leadership responsibilities. These positions often require advanced degrees, specialized certifications, and work in industries like autonomous vehicles, robotics, or large-scale AI development.

AI Software Engineer

GMV

Anderson, IN • On-site, Remote

$48.25 - $64/hr

Other

Re-posted 22 days ago


Job description

 

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in different areas. Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is evolving more and more rapidly.
You will be part of our Big Data team whose mission is to participate in projects of design and development of programs for data consolidation and analysis. You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to improve intelligent machine technology.

DO YOU WANT TO BE PART OF OUR TEAM?

If you want this position to be yours, we would like you to have the following knowledge/experience:

  • Apache Spark
  • Apache Kafka
  • R
  • BBDD SQL
  • Metodologias Agiles: SCRUM
  • Machine learning
  • Big Data Architectures
  • Java/Python

WHAT DO WE OFFER?

  • Join our team and culture GMV by entering into technological and innovative projects within multicultural and multidisciplinary teams.
  • Professional career development and training plan. You will be able to acquire or perfect knowledge in the technologies we use as well as in skills. We also offer a language learning program.
  • We are flexible! We have flexible hours and intensive working hours during the summer months. In addition, you can work from home to improve your work-life balance.
  • We care about your well-being. You will have private health insurance with dental and accident insurance.
  • You will be able to make part of your salary more flexible through our flexible salary plan where you will have several options such as restaurant tickets, childcare tickets, medical insurance for a family member....
  • Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you active.
  • No dress code! Be confortable at work
  • Are you coming from another country? We offer you a relocation package.
  • You will find fruit and coffee at your disposal in our dining rooms for those moments of relaxation.

WHAT ARE YOU WAITING FOR?