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Machine Vision Software Engineer Jobs in Boston, MA

Sick AG

Software Engineer II

Canton, MA · On-site

$103K - $141K/yr

The Software Engineer II plays a key role in designing, developing, testing, and supporting ... Machine Vision, Algorithms & Emerging Technologies * Design, implement, and optimize classical and ...

Cybercoders

Machine Vision Integration Engineer

Boston, MA · Hybrid

$120K - $160K/yr

Machine Vision Integration Engineer Machine Vision Integration Engineer Location: Hybrid, Greater ... Our products combine industrial cameras, software, and automation technologies to help production ...

Cognex

Senior Software Engineer (Full Stack)

Natick, MA · Hybrid

... machine vision! We are a financially strong, international company with no debt and have been in ... Our software engineers design, develop, and implement the next generations of machine learning and ...

Onto

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

Algorithms & Software Engineering ... Apply machine learning, image processing, computer vision, mathematics, and optics to develop ...

Onto Innovation

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

... Apply machine learning, image processing, computer vision, mathematics, and optics to develop ... software developers, and other technical staff. • Leverage AI coding agents to accelerate ...

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Boston, MA

Machine Vision Software Engineer information

See Boston, MA salary details

$69K

$160.3K

$223.3K

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

As of Aug 4, 2026, the average yearly pay for machine vision software engineer in Boston, MA is $160,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $187,900.00 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.

What are popular job titles related to Machine Vision Software Engineer jobs in Boston, MA? For Machine Vision Software Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in Boston, MA look for? The top searched job categories for Machine Vision Software Engineer jobs in Boston, MA are:
Machine Vision Software Engineer jobs near you

Machine Vision Software Engineer

Scalence L.L.C.

North Reading, MA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Scalence L.L.C. is seeking a highly experienced Senior Machine Vision Software Engineer to lead the design and development of advanced vision algorithms and software solutions for semiconductor automated test systems. This role focuses on high-precision defect inspection, alignment, and metrology for wafer- and package-level applications, supporting next-generation test platforms.
Responsibilities:
• Develop and optimize vision algorithms for defect detection, alignment, and sub-micron measurement
• Integrate vision systems with automated test equipment (ATE), motion control, and optical subsystems
• Build scalable, production-grade software in C#/C++/Python
• Collaborate with optical, hardware, and product teams to deliver robust, high-precision solutions
• Support system validation, deployment, and continuous improvement in manufacturing environments
Qualifications:
Required:
• Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering or related discipline
• 10+ years experience programming instrumentation, demonstrating a deep understanding of industry best practices; experience will be supporting hardware product systems development
• Strong expertise in inspection, alignment, and metrology algorithms
• Proficiency in C#, C++ and Python; experience with OpenCV, Halcon, or similar
• Ability to communicate and document technical details effectively.
• Hands-on experience with cameras, optics, and illumination techniques
• Proven track record delivering high-performance systems in production
Preferred:
• Master’s degree in Computer Engineering, Computer Science, Electrical Engineering or related discipline
• Semiconductor test, inspection, or ATE experience
• Familiarity with optical system design and calibration
• Experience with AI/ML for defect detection or classification
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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