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Machine Vision Software Engineer Jobs in Connecticut

Belcan

Software Engineer

Windsor Locks, CT

$62K - $93K/yr

A Software Engineer job in Windsor/Windsor Locks, CT is currently available through Belcan at one ... Benefits offered may include health care, dental, vision, life insurance; 401(k); education ...

The Hartford

Staff Software Engineer - AI

Hartford, CT

$127K - $191K/yr

Design and develop machine learning techniques that allow agents to learn from experience and adapt ... Experience withnatural language processing (NLP),computer vision, orreinforcement learning.

The Walt Disney Company

Sr Software Engineer

Bristol, CT

$122K - $161K/yr

... vision and machine learning (ML ) workflows. Our team develops and manages a diverse suite of ... Leveraging modern software engineering practices and cloud infrastructure, you will build robust ...

The Walt Disney Company

Sr Software Engineer

Bristol, CT

$122K - $161K/yr

... vision and machine learning (ML ) workflows. Our team develops and manages a diverse suite of ... Leveraging modern software engineering practices and cloud infrastructure, you will build robust ...

BlueCrest

Principal Software Engineer

Danbury, CT · On-site

$137K - $184K/yr

We are seeking a Software Engineer to join our highly dynamic team developing machine control solutions for our high-performance mailing solutions. We are looking for high energy team players with ...

Butler America Aerospace

Software Engineer

Stratford, CT · On-site

$60 - $72/hr

Software Engineer Location: Stratford, CT Job ID: #72788 Pay Range: $60-72 ph (W2) Duration: 12 mos ... Benefits provided: 401K, medical, dental, and vision, sick time as applicable to state law Butler ...

NBCUniversal

Software Engineer

Stamford, CT · Hybrid

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 ...

NBCUniversal

Software Engineer

Stamford, CT · Hybrid

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 ...

Leonardo DRS

Software Engineer II

Danbury, CT · On-site

Job Summary We are seeking a Software Engineer with 2-5 years of embedded development experience to ... vision coverage, a company contribution to a health savings account, telemedicine, life and ...

Leonardo DRS

Software Engineer II

Danbury, CT · Hybrid

Job Summary We are seeking a Software Engineer with 2-5 years of embedded development experience to ... vision coverage, a company contribution to a health savings account, telemedicine, life and ...

Sopra Steria

DO-178 Software Engineer

East Hartford, CT · On-site

As a DO-178 Software Engineer , you will contribute to the development and verification of embedded ... Industry leading medical, dental, and vision Insurance * Vacation / Sick Time / Bereavement leave

Empower

Software Engineer

Hartford, CT

Our vision for the future is based on the idea that transforming financial lives starts by giving ... The Software Engineer is responsible for designing, developing, and maintaining backend data ...

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Connecticut

Machine Vision Software Engineer information

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 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:
Machine Vision Software Engineer jobs near you
Senior Software Engineer - Robotics

Senior Software Engineer - Robotics

StaffRight Associates, LLC

East Hartford, CT • On-site

$121K - $160K/yr

Other

Posted 12 days ago

Job description

***Candidates must be currently authorized to work in the United States on a full-time, permanent basis. StaffRight Associates and our clients do not provide visa sponsorship for this position. PLEASE DO NOT APPLY IF YOU DO NOT MEET THESE QUALIFICATIONS

This is an exceptional company seeking extraordinary people! 

Relocation assistance possible..!

The Opportunity

StaffRight Associates is recruiting for a visionary Senior Software Engineer to lead the evolution of sophisticated automation and robotic ecosystems. This is a high-impact, hands-on role where you will bridge the gap between complex hardware and intelligent software, driving the development of networked laboratory systems from initial concept to global production. You will play a pivotal part in modernizing life sciences technology, ensuring that precision robotics and seamless data integration empower the next generation of diagnostic discovery.

What You’ll Do

  • Architect and deploy end-to-end software solutions for advanced robotic platforms, specifically focusing on high-precision liquid handling and instrument manipulation.

  • Engineer critical diagnostic and bring-up utilities in partnership with manufacturing teams to ensure seamless hardware-software integration.

  • Synthesize technical requirements by engaging with product stakeholders and end-users to translate market needs into robust functional specifications.

  • Champion the development of internal Java-based toolsets designed to streamline and standardize application programming across the department.

  • Construct scalable backend architectures, encompassing RESTful web services, persistent database systems, and dynamic user interfaces.

  • Resolve complex field performance issues by providing expert-level technical support and troubleshooting for live production environments.

  • Elevate team standards through active participation in rigorous code reviews, architectural debates, and continuous process refinement.

  • Execute all development within a strictly regulated ISO-certified quality framework to maintain the highest levels of safety and reliability.

What You Bring

  • Educational Excellence: A Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

  • Domain Expertise: 3 to 10 years of professional experience crafting application-tier software for industrial or laboratory automation environments.

  • Hardware Fluency: Deep technical command of robotics, including servo motor control, pneumatic systems, sensors, and fieldbus communication.

  • Advanced Java Stack: Mastery of Java and Object-Oriented Design (OOD), with a preference for Spring Boot, Hibernate, and real-time/embedded Java applications.

  • Visionary Capabilities: Proven ability to implement machine vision algorithms for robotic guidance, automated inspection, and real-time feedback loops.

  • Technical Versatility: Proficiency with modern development tools (Git, Maven, Docker) and various communication protocols (TCP/IP, Serial, ActiveMQ).

  • Data Proficiency: Experience architecting relational or NoSQL database solutions and managing large-scale data migrations (ETL).

  • Collaborative Mindset: Exceptional communication skills with a track record of thriving within multidisciplinary, cross-functional engineering squads.

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