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Opencv Jobs in Massachusetts (NOW HIRING)

Principal Software Engineer

Sudbury, MA · On-site

$141K - $189K/yr

User Interface Development Signal or Image Processing Algorithms (OpenCV / ITK / etc.) Machine Learning for Image or Data Processing (TensorFlow or similar packages) DICOM / PACS integration ...

Senior Software Engineer

Sudbury, MA · On-site

$128K - $168K/yr

User Interface Development Signal or Image Processing Algorithms (OpenCV / ITK / etc.) Machine Learning for Image or Data Processing (TensorFlow or similar packages) DICOM / PACS integration ...

Senior Imaging Software Engineer

Marlborough, MA · On-site

$127K - $167K/yr

Experience with OpenCV and at least one deep learning framework such as TensorFlow or PyTorch Education requirements * Bachelor of science degree in engineering discipline, MS preferred * Knowledge ...

Senior Imaging Software Engineer

Marlborough, MA · On-site

$127K - $167K/yr

Experience with OpenCV and at least one deep learning framework such as TensorFlow or PyTorch Education requirements * Bachelor of science degree in engineering discipline, MS preferred * Knowledge ...

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Opencv information

See Massachusetts salary details

$97.1K

$138K

$173.8K

How much do opencv jobs pay per year?

As of Aug 21, 2026, the average yearly pay for opencv in Massachusetts is $138,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,687.00 and $161,452.00 per year, depending on experience, location, and employer.

What is an OpenCV?

An OpenCV job involves working with OpenCV, an open-source computer vision and machine learning library. Professionals in this role develop applications for image processing, object detection, facial recognition, and real-time video analysis. These jobs are often found in industries like robotics, healthcare, security, and autonomous vehicles. Strong skills in Python or C++, along with experience in deep learning frameworks, are typically required.

What types of projects or industries commonly use OpenCV developers, and what can I expect to work on in this role?

OpenCV Developers are in high demand across industries such as robotics, automotive (autonomous vehicles), healthcare (medical imaging), manufacturing (quality inspection), and security (facial recognition or surveillance). In this role, you can expect to work on tasks like object detection, image segmentation, real-time video analysis, or integrating vision solutions with hardware. Projects often involve collaborating with data scientists, software engineers, and hardware teams to deliver end-to-end solutions. The work environment is typically collaborative and project-driven, offering ample opportunity to work with cutting-edge technologies and expand specialized expertise.

What are the key skills and qualifications needed to thrive in the OpenCV position, and why are they important?

To succeed as an OpenCV Developer, you should possess strong programming skills in Python or C++, a solid understanding of computer vision fundamentals, and a degree in computer science or related field. Familiarity with OpenCV library, machine learning frameworks, and version control tools such as Git is essential for developing robust vision applications. Excellent problem-solving abilities, teamwork, and clear communication are important soft skills in collaborative development environments. These qualifications ensure high-quality, efficient solutions for image processing and computer vision tasks in a dynamic field.

Infographic showing various Opencv job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 1% Part Time, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $138,030 per year, or $66.4 per hour.

Lead Robotics Perception Engineer

Motion Recruitment Partners, LLC

Boston, MA • On-site

$111K - $146K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Join a venture-backed robotics company that is transforming an industrial process through advanced automation, artificial intelligence, and computer vision. Backed by experienced founders and industry-leading investors, this organization has moved beyond the prototype stage and is deploying cutting-edge robotic systems into real-world production environments.
This is an opportunity to lead the development of next-generation robotic perception systems, combining classical computer vision, machine learning, and sensor fusion to solve complex automation challenges. You'll work alongside world-class robotics engineers developing products that bridge AI with physical systems in demanding industrial environments.
The Opportunity
We're seeking a Lead Perception Engineer to provide both technical leadership and hands-on development for a growing perception team. This individual will own the architecture, development, and deployment of production-ready perception systems while mentoring engineers and driving technical direction across the organization's AI and robotics initiatives.
This role is ideal for someone who enjoys solving difficult real-world robotics problems-not just developing algorithms, but deploying solutions onto production hardware and continuously improving performance in the field.
Required Skills & Experience
  • 8+ years of software engineering experience focused on robotics, computer vision, autonomous systems, or machine learning
  • 2+ years leading technical teams or serving as a Tech Lead or Engineering Lead
  • Expert programming experience with Python and C++; Rust experience is a plus
  • Strong experience developing production computer vision systems
  • Deep understanding of robotic perception pipelines and sensor calibration
  • Experience building and deploying machine learning models into production environments
  • Hands-on experience with PyTorch, OpenCV, CUDA, PCL, Open3D, or similar frameworks
  • Experience integrating LiDAR, stereo vision, Time-of-Flight cameras, RGB-D sensors, and other perception technologies
  • Strong understanding of robotics fundamentals including coordinate transforms, localization, calibration, and sensor fusion
  • Experience debugging complex hardware/software interactions in real-world robotic systems
Desired Skills & Experience
  • MS or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or related discipline
  • Experience working with ROS2 or comparable robotics middleware
  • Experience deploying AI models on embedded hardware
  • CUDA optimization and GPU acceleration experience
  • Experience with high-throughput, real-time vision systems
  • Familiarity with industrial robotics or warehouse automation
  • Experience mentoring engineers and conducting architectural reviews
  • Strong communication skills with the ability to collaborate across hardware and software teams
What You Will Be Doing
  • Lead the architecture and development of production robotic perception systems
  • Guide engineers through the full software development lifecycle from concept through deployment
  • Design perception pipelines utilizing classical computer vision and deep learning
  • Evaluate and select sensors including LiDAR, stereo cameras, RGB-D cameras, and Time-of-Flight technologies
  • Develop AI and machine learning models for object detection, segmentation, tracking, and classification
  • Improve system accuracy through sensor fusion, calibration, and optimization
  • Design scalable, low-latency perception architectures for real-time robotics applications
  • Perform hands-on debugging of hardware and software integration issues in laboratory and field environments
  • Conduct code reviews, mentor engineers, and establish engineering best practices
  • Partner closely with robotics, controls, software, mechanical, and systems engineering teams to deliver integrated autonomous solutions
Tech Breakdown
  • 35% Computer Vision & AI (PyTorch, OpenCV, CUDA)
  • 25% Robotics Perception & Sensor Fusion
  • 20% Software Engineering (Python, C++, Rust)
  • 10% Hardware Integration & Sensor Selection
  • 10% Technical Leadership & Architecture
Daily Responsibilities
  • 50% Hands-On Software Development
  • 25% Technical Leadership & Mentoring
  • 15% Cross-Functional Collaboration
  • 10% System Testing, Validation & Field Debugging
The Offer
  • Competitive base salary + potential bonus and equity
  • Comprehensive medical, dental, and vision insurance
  • 401(k)
  • Generous PTO and paid holidays
  • Opportunity to build cutting-edge AI-powered robotics deployed in real-world environments
  • Highly collaborative engineering culture with significant technical ownership
  • Career growth within a rapidly scaling, venture-backed robotics company

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship is not available for this position.
Join a venture-backed robotics company that is transforming an industrial process through advanced automation, artificial intelligence, and computer vision. Backed by experienced founders and industry-leading investors, this organization has moved beyond the prototype stage and is deploying cutting-edge robotic systems into real-world production environments.
This is an opportunity to lead the development of next-generation robotic perception systems, combining classical computer vision, machine learning, and sensor fusion to solve complex automation challenges. You'll work alongside world-class robotics engineers developing products that bridge AI with physical systems in demanding industrial environments.
The Opportunity
We're seeking a Lead Perception Engineer to provide both technical leadership and hands-on development for a growing perception team. This individual will own the architecture, development, and deployment of production-ready perception systems while mentoring engineers and driving technical direction across the organization's AI and robotics initiatives.
This role is ideal for someone who enjoys solving difficult real-world robotics problems-not just developing algorithms, but deploying solutions onto production hardware and continuously improving performance in the field.
Required Skills & Experience
  • 8+ years of software engineering experience focused on robotics, computer vision, autonomous systems, or machine learning
  • 2+ years leading technical teams or serving as a Tech Lead or Engineering Lead
  • Expert programming experience with Python and C++; Rust experience is a plus
  • Strong experience developing production computer vision systems
  • Deep understanding of robotic perception pipelines and sensor calibration
  • Experience building and deploying machine learning models into production environments
  • Hands-on experience with PyTorch, OpenCV, CUDA, PCL, Open3D, or similar frameworks
  • Experience integrating LiDAR, stereo vision, Time-of-Flight cameras, RGB-D sensors, and other perception technologies
  • Strong understanding of robotics fundamentals including coordinate transforms, localization, calibration, and sensor fusion
  • Experience debugging complex hardware/software interactions in real-world robotic systems
Desired Skills & Experience
  • MS or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or related discipline
  • Experience working with ROS2 or comparable robotics middleware
  • Experience deploying AI models on embedded hardware
  • CUDA optimization and GPU acceleration experience
  • Experience with high-throughput, real-time vision systems
  • Familiarity with industrial robotics or warehouse automation
  • Experience mentoring engineers and conducting architectural reviews
  • Strong communication skills with the ability to collaborate across hardware and software teams
What You Will Be Doing
  • Lead the architecture and development of production robotic perception systems
  • Guide engineers through the full software development lifecycle from concept through deployment
  • Design perception pipelines utilizing classical computer vision and deep learning
  • Evaluate and select sensors including LiDAR, stereo cameras, RGB-D cameras, and Time-of-Flight technologies
  • Develop AI and machine learning models for object detection, segmentation, tracking, and classification
  • Improve system accuracy through sensor fusion, calibration, and optimization
  • Design scalable, low-latency perception architectures for real-time robotics applications
  • Perform hands-on debugging of hardware and software integration issues in laboratory and field environments
  • Conduct code reviews, mentor engineers, and establish engineering best practices
  • Partner closely with robotics, controls, software, mechanical, and systems engineering teams to deliver integrated autonomous solutions
Tech Breakdown
  • 35% Computer Vision & AI (PyTorch, OpenCV, CUDA)
  • 25% Robotics Perception & Sensor Fusion
  • 20% Software Engineering (Python, C++, Rust)
  • 10% Hardware Integration & Sensor Selection
  • 10% Technical Leadership & Architecture
Daily Responsibilities
  • 50% Hands-On Software Development
  • 25% Technical Leadership & Mentoring
  • 15% Cross-Functional Collaboration
  • 10% System Testing, Validation & Field Debugging
The Offer
  • Competitive base salary + potential bonus and equity
  • Comprehensive medical, dental, and vision insurance
  • 401(k)
  • Generous PTO and paid holidays
  • Opportunity to build cutting-edge AI-powered robotics deployed in real-world environments
  • Highly collaborative engineering culture with significant technical ownership
  • Career growth within a rapidly scaling, venture-backed robotics company

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship is not available for this position.