1

Machine Vision Software Engineer Jobs in Old Saybrook, CT

Develop staged models in NX (or equivalent software) to support roughing and finishing machining ... Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre ...

... networks with software andsecurity patches and evaluating application impact. The target ... Automate the process to patch client machines after evaluating and testing the impact of security ...

Automation Controls Engineer

Westbrook, CT · On-site

$78K - $104K/yr

Conceptualize, write, and deploy software on Allen-Bradley CompactLogix PLCs using ladder logic ... machine operation such as robots, servo drives, vision systems, conveyor systems, and pneumatic ...

Partner with formulation scientists, material scientists and engineers on suitable experimentation ... Experience with robotics and machine vision systems used in laboratory automation * Experience in ...

Senior Mechanical Engineer

Stonington, CT · On-site

$104K - $138K/yr

Perform engineering calculations and analyses to support new and existing product designs ... Proficiency with 3D CAD software; SolidWorks preferred. * Strong understanding of machine design ...

Manufacturing Controls Engineer I

North Haven, CT · On-site

$83K - $98K/yr

... vision systems, robotics, and other automation technologies. Update electrical schematics ... Participate in DFMEA, PFMEA, machine risk assessments, and other quality and safety activities.

Showing results 41-60

Machine Vision Software Engineer information

See Old Saybrook, CT salary details

$64.4K

$149.6K

$208.4K

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

As of Sep 12, 2026, the average yearly pay for machine vision software engineer in Old Saybrook, CT is $149,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $175,400.00 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.

Systems Engineer

Groton, CT • On-site

Full-time

Re-posted yesterday


Job description

Job SummarySEACORP's Production Operations Business Area is currently seeking a Systems Engineer. The Systems Engineer is responsible forupdating and maintaining computer systems and networks with software andsecurity patches and evaluating application impact. The target systemsinclude Linux Red Hat/CentOS and Windows systems hosted within Kernel-basedVirtual Machine (KVM) environment.   

Job Responsibilities Include:

  • Maintain the network architecture including Cisco Virtual Lans. 
  • Automate the process to patch client machines after evaluating and testing the impact of security patches.
  • Identify hardware and software faults and develop corrections.
  • Provide work-arounds to problems encountered such that the training exercise may continue and will perform preventative maintenance to reduce the number of faults encountered.