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Machine Vision Software Engineer Jobs in Chicago, 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 ...

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Machine learning experience in a production environment. Additional Information Perks/Benefits ... Comprehensive medical, dental, and vision insurance. * Company paid life insurance, short term ...

Senior Software Engineer

Chicago, IL · On-site +1

$126K - $166K/yr

Machine learning experience in a production environment. Additional Information Perks/Benefits ... Comprehensive medical, dental, and vision insurance. * Company paid life insurance, short term ...

Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ... Vision, and Short/Long Term Disability insurance programs * Employer funded Health Savings Account

Sr Software Engineer

Chicago, IL · On-site

$106K - $145K/yr

Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ... Vision, and Short/Long Term Disability insurance programs * Employer funded Health Savings Account

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Edge engineering is responsible for the hardware and software orchestrating the hardware installed ...

Control Engineer

Chicago, IL · On-site

$86K - $111K/yr

... custom software solutions for manufacturing, testing, and product development applications. You ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Control Engineer

Chicago, IL · On-site

$86K - $111K/yr

... custom software solutions for manufacturing, testing, and product development applications. You ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Implement ETL-based state machines and lifecycle hooks that meet hard real-time deadlines on Cortex ... vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth ...

Experience developing applications that interface with industrial equipment or machinery utilizing ... The Fluke Health Solutions vision is to empower our everyday heroes to focus only on protecting ...

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 ...

... 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 ...

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Machine Vision Software Engineer information

See Chicago, IL salary details

$65.4K

$152K

$211.7K

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

As of Jul 22, 2026, the average yearly pay for machine vision software engineer in Chicago, IL is $151,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $178,200.00 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.
What are popular job titles related to Machine Vision Software Engineer jobs in Chicago, IL? For Machine Vision Software Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in Chicago, IL look for? The top searched job categories for Machine Vision Software Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Vision Software Engineer jobs? Cities near Chicago, IL with the most Machine Vision Software Engineer job openings:
Principal Software Engineer

Principal Software Engineer

Morningstar

Chicago, IL • On-site, Remote

$117K - $123K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 5 days ago


MorningStar Senior Living rating

6.4

Company rating: 6.4 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

83rd of 237 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.

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