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Machine Vision Software Engineer Jobs in Connecticut

About the role As our Software Engineer, you'll join the Content Delivery Engineering team (CDE ... This position is eligible for company sponsored benefits, including medical, dental, and vision ...

About the role As our Software Engineer, you'll join the Content Delivery Engineering team (CDE ... This position is eligible for company sponsored benefits, including medical, dental, and vision ...

Build the state machines and interlocks governing rig setup and priming, calibration, run ... Machine vision, thermal or CFD modeling, or model-based/model-predictive control applied to fluidic ...

Build the state machines and interlocks governing rig setup and priming, calibration, run ... Machine vision, thermal or CFD modeling, or model-based/model-predictive control applied to fluidic ...

Senior Software Engineer

Bloomfield, CT · On-site

$122K - $161K/yr

Labcorp is seeking a Senior Software Engineer to join our team at our 1302 Hall Boulevard location ... Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO ...

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

Senior Software Engineer, Cloud Location: Guilford, Connecticut This role is for talented Software ... Across the organization they will make a significant contribution to the company's overall vision ...

Senior Software Engineer, Cloud Location:Guilford, Connecticut This role is for talented Software ... Across the organization they will make a significant contribution to the company's overall vision ...

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

Senior Software Engineer, Cloud Location: Guilford, Connecticut This role is for talented Software ... Across the organization they will make a significant contribution to the company's overall vision ...

Showing results 21-40

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 Connecticut?

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

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

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

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

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

Software Engineer - Operations Systems & AI

CFS

Wallingford, CT • On-site

$120K - $140K/yr

Full-time

Posted 16 days ago


Job description

Software Engineer - Operations Systems & AI Automation

Location: Connecticut (On-Site)
Compensation: $120,000 - $140,000

About the Opportunity

A growing manufacturing organization is seeking a Software Engineer to design, build, and enhance the systems that support operations, inventory, logistics, maintenance, reporting, and business analytics.

This individual will work directly with operational leaders to streamline processes, replace manual workflows, and develop scalable software solutions that improve efficiency and decision-making across the business.

This is an opportunity to own projects from concept through deployment while leveraging automation and AI technologies to solve real-world operational challenges.

What You'll Do
  • Build and maintain internal business applications and operational systems
  • Gather requirements from business stakeholders and translate them into technical solutions
  • Develop tools for inventory management, production planning, job costing, and reporting
  • Create dashboards, alerts, and analytics that improve visibility across the organization
  • Build workflow automation and AI-powered solutions, including OCR and document processing
  • Develop applications that support logistics, dispatch, maintenance, and asset management
  • Integrate data from multiple systems to improve reporting and decision-making
  • Identify opportunities to improve efficiency through technology and automation
What You'll Bring
  • 3+ years of software engineering experience
  • Strong full-stack development skills
  • Experience with modern backend technologies, relational databases, and APIs
  • Experience building applications from concept through deployment
  • Ability to work directly with non-technical stakeholders
  • Strong communication and problem-solving skills
  • Comfortable operating independently and taking ownership of projects
AI & Automation Experience
  • Experience with OpenAI, Anthropic, Microsoft AI, or similar technologies
  • OCR and document-processing experience
  • Workflow automation experience
  • Exposure to forecasting, machine learning, or predictive analytics
  • Understanding of AI reliability and validation practices
Preferred Experience
  • Manufacturing, ERP, inventory, or logistics systems
  • Fleet management or maintenance applications
  • Procurement automation
  • Route optimization
  • Operational analytics and reporting
Why Join?
  • High visibility and direct interaction with leadership
  • Opportunity to build solutions from the ground up
  • Significant ownership and autonomy
  • Direct impact on business operations and technology strategy
  • Ability to leverage AI and automation in a meaningful way

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