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Machine Vision Software Engineer Jobs in Itasca, IL

Principal Software Engineer

Chicago, IL · On-site +1

$117K - $123K/yr

... experience in machine learning, including model development and deployment in production ... Comprehensive health benefits(medical/dental/vision)including potential premium discounts and ...

Software Engineer

Naperville, IL · On-site

$132 - $147/hr

Software Engineer for AmpliFI Loyalty Solutions, Naperville, IL ... Define the long-term architectural vision and technical strategy for ampliFI's customized credit ...

Software Engineer

Chicago, IL · On-site

$153K - $160K/yr

Software Engineers for Chicago, IL location. Responsible for the design and development of new ... Comprehensive health, dental and vision plans * 401k retirement plan with company match * Paid ...

New

This role combines strategic vision, hands-on technical expertise, and leadership to build scalable ... Machine Learning: Practical experience applying ML to improve search relevance. Considerations for ...

Software Engineers for Chicago, IL location. Responsible for the design and development of new ... Comprehensive health, dental and vision plans * 401k retirement plan with company match * Paid ...

New

Automation Engineer

Northbrook, IL · On-site

$48.08 - $72.12/hr

Machine vision systems, including Cognex, Keyence, ABB Vision, or similar systems. * OPC UA ... Python, C#, C++, or other general-purpose programming experience. * Automated pallet handling, tool ...

Automation Engineer

Northbrook, IL · On-site

$90 - $120/hr

Robotics & Controls Engineer - ABB/BeckhoffPosition SummaryWe are looking for a hands-on Robotics ... Machine vision systems, including Cognex, Keyence, ABB Vision, or similar systems.OPC UA, EtherNet ...

Software Engineer (Mid to Principle Level Openings!!) We have multiple openings from Midlevel to ... Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre ...

Software Engineer

Schaumburg, IL · On-site

$70K - $80K/yr

Experience with Machine Learning and Data Science is a PLUS * Strong experience with Hibernate ... vision, and life insurance through Principal. * Options to participate in Health Savings Account ...

Software Engineer Lead

Lisle, IL · On-site

$112K - $168K/yr

Develop Machine Learning Models using telematics data * Dive into our engineering organization ... In everything we do, our vision is to accelerate the impact of sustainable mobility to create the ...

... vision insurance. By joining the NVISIA team, your brain WILL be used, your hard work WILL be ... The Software Engineer is responsible for architecture, design and development of software to ...

Showing results 21-40

Machine Vision Software Engineer information

See Itasca, IL salary details

$61.8K

$143.6K

$200.1K

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

As of Sep 2, 2026, the average yearly pay for machine vision software engineer in Itasca, IL is $143,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $168,400.00 per year, depending on experience, location, and employer.

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.

What job categories do people searching Machine Vision Software Engineer jobs in Itasca, IL look for?

The top searched job categories for Machine Vision Software Engineer jobs in Itasca, IL are:

What cities near Itasca, IL are hiring for Machine Vision Software Engineer jobs?

Cities near Itasca, IL with the most Machine Vision Software Engineer job openings:

Principal Software Engineer

Morningstar

Chicago, IL • On-site, Remote

$117K - $123K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted 16 days ago


MorningStar Senior Living rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

64th of 245 rated social care providers


Job description

Architect and lead the development of scalable AI and cloud-native Agentic solutions using OpenAI, Azure, and AWS to enhance financial data acquisition and automation capabilities; spearhead the design and implementation of AI-powered transcription platforms, driving significant improvements in speed and efficiency (10%). Design, code, debug, maintain, and upgrade high-performance software systems, ensuring system performance, reliability, and maintainability (10%). Provide technical leadership across multiple engineering teams, guiding day-to-day development activities and architectural decision-making (10%). Lead cross-functional collaboration with Application Architects, Systems Engineers, DevOps/SRE, and business stakeholders to ensure alignment between technical solutions and business objectives (10%). Advocate and enforce global best practices for product performance, reliability, scalability, security, and code reusability (5%). Conduct architectural design and system planning, ensuring scalable solutions that balance technical excellence with financial sector business needs (20%). Enforce coding standards and software engineering best practices for applications across development teams (10%). Lead DevOps efforts with Docker, Kubernetes, and AWS Fargate; implemented CI/CD pipelines with SonarQube and automated infrastructure deployments (10%). Make strategic infrastructure decisions, monitor operational costs, and implement optimizations to reduce spend and improve system efficiency (10%). Attend team meetings to facilitate brainstorming, problem-solving, and project updates, fostering a culture of innovation and technical rigor (5%). ***Remote work requests will be considered consistent with company's remote work policy.

Job Requirements:

This position requires a Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 8 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position; or a Master's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 6 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position.

This position also requires 5 years of experience in designing scalable AI and cloud-native solutions using AWS, Azure OpenAI or similar Cloud platforms; 5 years of experience developing commercial quality software products and solutions particularly focused on distributed and real-time systems; 5 years of experience with a variety of technology components and stacks, including Python and Java; 5 years of experience with performance, reliability, scalability, security, and reusability tactics and strategies; 5 years of experience defining, refining, and maintaining application architectures for sophisticated end-user software products; 5 years of experience with troubleshooting and debugging skills; 3 years of experience mentoring and leading engineering teams; 3 years of experience in machine learning, including model development and deployment in production environments; 3 years of experience building and delivering proof-of-concepts (POCs) to validate technical solutions; 3 years of experience with AWS cloud platforms and SaaS architectures; 3 years of experience DevOps, implementing CI/CD pipelines, containerizing using Docker and orchestration using Kubernetes/AWS Fargate; 3 years of experience in agile development practices including scrum and scaled agile. *Will accept any suitable combination of education, training, and experience.

Must possess unrestricted right to work in the U.S. in this position

Base Salary Compensation: $117,957 - $123,010 per year

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health

    • Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-termdisabilityinsurance

  • Emotional Health

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & FormalMentorshipOpportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

001_MstarInc Morningstar Inc. Legal Entity

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