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Machine Vision Software Engineer Jobs in Boston, MA

Sick AG

Software Engineer II

Canton, MA · On-site

$103.10K - $141.20K/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 ...

SICK AG

Software Engineer II

Canton, MA · On-site

$103.10K - $141.20K/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 ...

Onto Innovation

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

... machine vision and image processing. Responsibilities : • Build and continuously refine an ... software developers, and other technical staff. • Leverage AI coding agents to accelerate ...

Onto Innovation

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

... Software Engineer to join their Inspection Business Unit (IBU). The role involves developing ... Preferred : • Exposure to semiconductor inspection, machine vision, robotics, or ...

Onto

Software Engineer 3

Wilmington, MA

$62.75 - $84.50/hr

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

Onto

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

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

Onto

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

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

Onto

Senior Software Engineer

Wilmington, MA

$133.90K - $176.60K/yr

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

Onto

Senior Software Engineer

Wilmington, MA · On-site

$133.90K - $176.60K/yr

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

Onto

Software Engineer 3

Wilmington, MA · On-site

$62.75 - $84.50/hr

Software Engineering * Develop and integrate software based off of product and customer ... Stay current with academic and industry developments in machine vision inspection, image processing ...

Onto

Software Engineer 3

Wilmington, MA

$62.75 - $84.50/hr

Software Engineering * Develop and integrate software based off of product and customer ... Stay current with academic and industry developments in machine vision inspection, image processing ...

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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 May 28, 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 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 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 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 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

Software Engineer II

Sick AG

Canton, MA • On-site

$103.10K - $141.20K/yr

Full-time

Posted yesterday

Job description

Software Engineer II
Mission of the Role
This position will be located at our Canton, MA office.
The Software Engineer II plays a key role in designing, developing, testing, and supporting software solutions across the full lifecycle of SICK products and platforms. Operating with increased independence, this role drives technical execution across development projects, enhances software performance and reliability, and contributes to the advancement of SICK's software ecosystem. The Software Engineer II collaborates closely with global, cross-functional teams and supports strategic technology initiatives - delivering high-quality, scalable, and secure solutions aligned with SICK's technology vision.
Key Responsibilities
Software Development
  • Independently execute software design, development, and implementation tasks following SICK's development processes, including compliance with design control, quality standards, and regulatory requirements.
  • Lead enhancements, maintenance, and release activities across the software lifecycle, including major and minor versions, patches, updates, and long-term support.
  • Develop prototypes, proofs of concept, and MVPs to validate new ideas and de-risk project uncertainties.
  • Collaborate with internal and external development partners to meet technical, cost, and schedule expectations.
  • Provide technical input during requirements refinement and architectural discussions.

Testing & Quality Assurance
  • Plan, design, and execute comprehensive test procedures to validate functionality, performance, reliability, and security.
  • Conduct and sometimes lead code reviews, ensuring adherence to best practices, coding guidelines, and secure development standards.
  • Troubleshoot, debug, and resolve complex software issues, proposing short-term fixes and long-term systemic improvements.

Cross-Functional Collaboration
  • Work closely with Product Management, Engineering, and Quality teams to translate technical requirements into actionable development tasks.
  • Contribute to backlog refinement, estimation, and risk identification during project planning.
  • Communicate technical decisions, project updates, and risk mitigation strategies clearly to technical and non-technical stakeholders.

Documentation & Reporting
  • Create, maintain, and review technical documentation including design specifications, test plans, change logs, and release notes.
  • Support software change management and release documentation processes.

Continuous Improvement & Learning
  • Proactively maintain expertise in SICK platforms, technologies, and development tools.
  • Evaluate and introduce new technologies, frameworks, and development practices that support innovation and efficiency.
  • Mentor Software Engineer I team members through informal coaching, code reviews, and knowledge sharing.
  • Contribute to process and product improvement initiatives.

Machine Vision, Algorithms & Emerging Technologies
  • Design, implement, and optimize classical and machine-learning-based algorithms for detection, inspection, automation, classification, tracking, and prediction using SICK 2D/3D cameras and programmable devices.
  • Employ advanced techniques-such as deep learning-to enhance system accuracy, robustness, and scalability.
  • Partner with internal teams to evaluate machine vision use cases and develop high-value solutions.
  • Maintain knowledge of modern hardware technologies, vision software frameworks, and AI/ML toolchains.
  • Perform full engineering responsibilities including estimation, requirement analysis, technical risk assessment, and solution design.

Perform other duties as may be assigned or required by management.
Key Qualifications
  • Experience: 2+ years of software development experience.
  • Education: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or equivalent experience is required.
  • Position-specific Qualifications:
    • Strong problem-solving, debugging, algorithmic thinking, and system design abilities.
    • Solid understanding of data structures, design patterns, and modern software engineering principles.
    • Proficiency in programming languages such as C++, Python, or Lua, with the ability to work across multiple languages as needed.
    • Demonstrated experience with multithreading, multiprocessing, inter-process communication, networking, or distributed systems.
    • Experience with version control (Git), code review workflows, CI/CD, and issue-tracking systems.
    • Familiarity with web fundamentals (HTML, CSS, JavaScript, REST/JSON, HTTP) and ability to develop simple UI tools or prototypes.
    • Ability to evaluate, integrate, and optimize third-party or open-source software components.
    • Experience monitoring, optimizing, and improving system performance and stability.
    • Experience designing or deploying machine vision / computer vision systems, including image processing or AI/ML-based methods.
    • Exposure to training or operationalizing deep learning models.
    • Comfortable using AI-assisted development tools such as GitHub Copilot or Claude Code.
    • Strong communication skills with the ability to share technical information effectively across teams.
  • Language: Professional written and spoken fluency in English required.
  • Schedule: Generally Monday to Friday, full time; be on-call on some weekends (if required).
  • General Working Conditions: Be able to usually work in an office environment; flexible (hybrid) work arrangements available.
  • Travel: Be able to travel up to 5% of the time, including internationally; must have a valid passport.
  • Work Status: Legally permitted to work in the country you are applying and willing to undergo an employment background check.

Compensation
The base salary is one part of our Total Rewards package and is determined within a range. The starting base salary range for this position is listed below; the actual starting salary will be based on a variety of factors including experience, skill set, education, performance, licenses/certifications, business needs and other job-related factors, as permitted by law.
  • Starting Base Annual Salary Range: $79,020 - $119,515
  • Bonus Eligibility: This role is not eligible for an annual bonus.

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