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Machine Vision Software Engineer Jobs in Wisconsin

GE HealthCare

Senior Software Engineer

Waukesha, WI · On-site

$122K - $161K/yr

Summary As a Senior Software Engineer, you will own the design, development, and delivery of next ... Research industry trends in Compute, containers, virtual machines, cyber security, Linux operating ...

Gehc

Senior Software Engineer

Waukesha, WI

$122K - $161K/yr

Summary As a Senior Software Engineer, you will own the design, development, and delivery of ... Research industry trends in Compute, containers, virtual machines, cyber security, Linux operating ...

GE Healthcare

Senior Software Engineer

Waukesha, WI · On-site

$122K - $161K/yr

Summary As a Senior Software Engineer, you will own the design, development, and delivery of next ... Research industry trends in Compute, containers, virtual machines, cyber security, Linux operating ...

KLA-Belgium

WI · On-site

$79.93 - $125.60/hr

We are seeking a highly skilled Software Engineer with specialized expertise in Machine Learning, Artificial Intelligence, and Data Science to join our innovative technology team. This role will be ...

Firefly Aerospace

WI · On-site

$100 - $140/hr

Understanding of data path pipelines, state machines, and arithmetic operation * 7+ years ... health, dental and vision plans with low plan deductibles, parental leave, educational ...

New

Aspen Technology, Inc.

WI · On-site

$90.20 - $112.80/hr

Job Overview We are seeking Software Developers to contribute to the development of the company ... Benefits include paid time off, charitable giveback day, medical/dental/vision insurance, and ...

New

Direct Supply

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... Technical expertise in AI integration across natural language processing, computer vision, and ...

Yahara Software

Software Development Engineer

Madison, WI · On-site

$110 - $140/hr

Design, train, and deploy machine learning models to solve business problems and improve system ... Comprehensive health insurance (Medical, Dental, Vision) with HMO and PPO options * Health Savings ...

Direct Supply

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $158K/yr

... tools and machine learning models. You will also mentor engineers, influence architectural ... vision, and generative models. Preferred : • Contributions to open-source AI projects or AI ...

Directsupply

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... Technical expertise in AI integration across natural language processing, computer vision, and ...

Direct Supply, Inc.

Senior Software Engineer

Milwaukee, WI · On-site

$100 - $130/hr

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... Technical expertise in AI integration across natural language processing, computer vision, and ...

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Showing results 21-40

All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Wisconsin

Machine Vision Software Engineer information

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 are popular job titles related to Machine Vision Software Engineer jobs in Wisconsin?

For Machine Vision Software Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Machine Vision Software Engineer jobs in Wisconsin look for?

The top searched job categories for Machine Vision Software Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Machine Vision Software Engineer jobs?

Cities in Wisconsin with the most Machine Vision Software Engineer job openings:

Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI & Machine Learning Engineer

Schneider National

Green Bay, WI • On-site

$90 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Schneider National rating

7.7

Company rating: 7.7 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

106th of 365 rated logistics

Job description

Job overview:

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop applications which enable AI-driven solutions to solve business problems. The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives.

Responsibilities:
  • Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
  • Develop and optimize data processing and feature engineering pipelines.
  • Build APIs and microservices that support machine learning models.
  • Implement model performance monitoring and drift detection.
  • Write high-quality, efficient and well-documented code.
  • Conduct code reviews and mentor junior engineers on best practices for software development.
  • Perform data analysis and generate insightful reports to support business decisions.
Skills and qualifications:
  • Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
  • A minimum of 2 years of experience in software engineering, data science or a related field in IT.
  • Proficient in programming languages such as Python, Java or C++.
  • Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
  • Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
  • Experience with SQL, database management and application development in a Linux server environment
  • Proficiency with version control systems (e.g., Git).
  • Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
  • Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.
Pay and benefits:
  • Medical, dental and vision insurance.
  • Company paid life insurance.
  • 401(k) savings plan with company match.
  • Paid time off and paid holidays.
  • Results-based incentive pay program where you can earn above and beyond your base pay.
  • Tuition reimbursement.
  • See full list of information technology benefits.
Schneider's inclusive culture

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

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