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Computer Vision Engineer Jobs in Worcester, MA (NOW HIRING)

Delsys

R&D Software Engineer (FT)

Natick, MA · On-site

$90K - $110K/yr

Software Engineers in this role will focus on building robust backend systems, embedded processing ... The position requires expertise in developing signal processing and computer vision pipelines ...

Magnendo Corp.

Robotics Engineer

Newton, MA · On-site

$110 - $170/hr

... computer vision and perception, androboticssimulation. This is a hands-on role for an engineer who ... wants to grow their depth across multiple technical domains while working alongside our Principal ...

Delsys

R&D Engineer (FT)

Natick, MA · On-site

$85K - $110K/yr

As an R&D Engineer, you will contribute to the design and implementation of computer vision/signal processing methods and computational tools that transform complex human signals into meaningful ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Worcester, MA

Computer Vision Engineer information

See Worcester, MA salary details

$48.4K

$121.3K

$137.2K

How much do computer vision engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer vision engineer in Worcester, MA is $121,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $131,200.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What cities near Worcester, MA are hiring for Computer Vision Engineer jobs?

Cities near Worcester, MA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $121,251 per year, or $58.3 per hour.

Principal Computer Vision Software Engineer

Magnendo Corp.

Newton, MA • On-site

$180 - $240/hr

Other

Posted 6 days ago

Job description

Every minute matters in stroke treatment. Magnendo is developing robotic technology to make life-saving endovascular procedures faster, safer, and more accessible. By combining advanced robotics, magnetic navigation, and intelligent software, we are tackling one of the most technically demanding challenges in healthcare while aiming to expand access to advanced stroke care for patients around the world. Join us in shaping the future of endovascular intervention.

We're looking for a Principal Software Engineer to lead the design and development of our perception and computer vision software spanning a wide variety of algorithmic techniques, sensing, and imaging technologies. These include both real-time and non-real time systems, 3D sensing and medical imaging, planning and real-time perception algorithms that drive robotic navigation and control.

You Will:

  • Own the architecture and technical direction of our computer vision software, including image processing, 3D sensing, and ML-based perception

  • Design and implement production software for computer vision and machine learning algorithms for feature detection, segmentation, registration, and continuous monitoring from medical imaging

  • Design and implement production software for 3D reconstruction using 3D sensors in a complex and variable environment

  • Take ML models from research and prototyping through validation and production deployment

  • Supervise and partner with third-party contractors to define requirements, validate deliverables, and develop strategies for integrating their contributions into our production system

  • Design a highly testable architecture with unit and integration tests developed in parallel software modules

  • Drive design decisions using first-principles engineering analysis, simulation, prototyping, and hands-on testing

  • Define and review requirements, test plans, and acceptance criteria for computer vision and ML software components

  • Collaborate closely with robotics, systems, and hardware engineers to integrate perception into the broader system

  • Support risk analysis, design reviews, and root-cause investigations for computer vision and ML software

  • Ensure that software is developed following a rigorous process that combines best practices of modern high reliability software development with a regulatory V-model framework

You Are:

  • 9+ years of experience with strong fundamentals in computer vision, 3D sensing, and machine learning, including medical or other domain-specific imaging modalities, taking systems from research to real-time production deployment

  • Experienced with production software development in an environment with high reliability requirements, preferably under a regulatory regime

  • A great collaborator who understands the importance of clear communication and humility

  • A software engineer who wants to build extensible, maintainable,high qualitysystems

  • Motivated to apply advanced technology across multiple fields to a concrete application that saves lives

  • A strong individual contributorfirst and foremost, with the interest and ability to grow into leading a small team as the group scales

  • Comfortable serving as a technical authority — providing design guidance and review to internal engineers and external contractors alike

  • Able tooperatewith the judgment and independence expected of aPrincipal-level engineer — sets technical direction with limited oversight, while holding the line on rigor where it matters most

  • Able to clearly convey complex tradeoffs to cross-functional teams and external partners

  • Proficient with Python, C++, Linux, GIT

Bonus Points:

  • Experience in the medical device industry, ideally with interventional or robotic systems

  • Experience with medical or surgical imaging (e.g., fluoroscopy, ultrasound, endoscopy, CT/MRI)

  • Experience with 3D sensing hardware (e.g., stereo cameras, structured light, depth sensors) and sensor fusion

  • Experience deploying ML models on embedded or real-time systems

  • Working knowledge of medical device software requirements (e.g., IEC 62304, IEC 60601)

Magnendo Corp. is an equal opportunity employer and considers all qualified applications without regard to any characteristic protected by applicable law. We also participate in E-Verify. Employment offers are contingent upon successful completion of employment authorization verification (Form I-9) through E-Verify after hire.

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