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Machine Vision Software Engineer Jobs in Old Saybrook, CT

Senior Associate, Platform Engineer

Groton, CT · On-site

$121K - $160K/yr

You may have a software development, systems engineering, or DevOps background, or you might have ... vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates ...

... 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 ...

Perform software & hardware testing to identify performance gaps & improvement opportunities ... Examples include using oscilloscope, developing loads, dielectric testers, transient machine ...

Perform software & hardware testing to identify performance gaps & improvement opportunities ... Examples include using oscilloscope, developing loads, dielectric testers, transient machine ...

Perform software & hardware testing to identify performance gaps & improvement opportunities ... Examples include using oscilloscope, developing loads, dielectric testers, transient machine ...

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Showing results 1-20

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 Jul 16, 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 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.

Senior Quantum Error Correction Software Engineer

D-Wave Quantum

New Haven, CT • On-site

$123K - $162K/yr

Full-time

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


Job description

D-Wave (NYSE: QBTS), D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. It is the world's first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both annealing and gate-model quantum computing technologies. D-Wave's mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leapâ„¢ quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government, and research sectors trust D-Wave to address complex computational challenges using quantum computing. Learn more about realizing the value of quantum computing today and how D-Wave is shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.
About the role
D-Wave is seeking an experienced and detail-oriented QEC Software Engineer to co-design, validate, and test infrastructure for QEC. In addition, the selected candidate will also perform simulations and resource estimation for practical applications with state-of-the-art fault-tolerant implementations.
What you'll do
  • Collaborate with physicists and other QEC specialists to develop, simulate, and experimentally validate QEC codes
  • Implement robust software components, integrate them into D-Wave's software stack, and write comprehensive tests
  • Work with stakeholders on both near- and long-term quantum computing applications including error correction resource estimation for practical problems
  • Write clean, well-documented code and conduct thorough code reviews to ensure code quality and maintainability
  • Provide software mentorship and guidance on best practices and help drive adherence to software best practices

About You
  • MS or PhD in Physics, Chemistry, Computer Science, Electrical Engineering, or related field with a specialization in quantum computing
  • 5+ years of hands-on software development experience with C, C++, Python, or another general-purpose compiled programming language
  • 3+ Quantum computing or quantum information experience including at least one modern quantum SDK such as Qiskit, Q#, CUDA-Q, or Stim
  • Competence with Git version control, build tools, and CI/CD pipelines
  • Use of software testing principles and practices, including unit testing, integration testing, and end-to-end testing
  • Strong problem-solving skills, attention to detail, and the ability to work in a collaborative team environment
  • Excellent communication and interpersonal skills with the ability to effectively communicate complex technical concepts.

A D-Waver's DNA
  • We look at the future and say "why not"; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
  • We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
  • We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
  • As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.

Our Compensation Philosophy is Simple but Powerful:
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they've got - not because they're simply making money, but because they've fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
Inclusion:
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.
The Fine Print:
No 3rd party candidates will be accepted
It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
The base pay range for this role is:
124,360 - 186,540 USD (New Haven, CT)