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Opencv Jobs (NOW HIRING)

Integrate on-device AI inference libraries (TFLite, MediaPipe, ONNX Runtime, OpenCV) for real-time computer vision and sensor fusion. * Implement low-latency video streaming protocols (e.g. WebRTC ...

Strong understanding of machine learning, image processing, or deep learning techniques (e.g., Python, OpenCV). * Experience: Proven experience in sales within the enterprise software, cloud space ...

Helix AI Engineer, Android

San Jose, CA · On-site

$150K - $400K/yr

Integrate on-device AI inference libraries (TFLite, MediaPipe, ONNX Runtime, OpenCV) for real-time computer vision and sensor fusion. * Implement low-latency video streaming protocols (e.g. WebRTC ...

PA · On-site

Proficiency in image processing frameworks (OpenCV, Pillow). * Hands-on experience with machinae learning frameworks (PyTorch, TensorFlow). * Familiarity with OCR technologies (Tesseract, PaddleOCR ...

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Working knowledge of Python and common CV libraries (NumPy, OpenCV) * Attention to detail and patience for precision work Nice to Have * Hands-on experience with YOLO * Familiarity with PyTorch ...

Programming fluency in C/C++ and Python, with knowledge of OpenCV and programming on GPU using OpenGL or CUDA/CuDNN or TensorRT * General understanding of computer vision concepts (multiview geometry ...

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Opencv information

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$90.5K

$128.7K

$162K

How much do opencv jobs pay per year?

As of Jun 4, 2026, the average yearly pay for opencv in the United States is $128,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $150,500.00 per year, depending on experience, location, and employer.

What is an OpenCV job?

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 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.

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 cities are hiring for Opencv jobs? Cities with the most Opencv job openings:
What are the most commonly searched types of Opencv jobs? The most popular types of Opencv jobs are:
What states have the most Opencv jobs? States with the most job openings for Opencv jobs include:
Infographic showing various Opencv job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, 2% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $128,666 per year, or $61.9 per hour.
Image Processing Measurements Engineer

Image Processing Measurements Engineer

DivIHN Integration

Painted Post, NY • On-site

Full-time

Posted 5 days ago


Job description

DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialists, Deepak at (224) 507-1279 Title: Image Processing Measurements Engineer Location: Painted Post, NY Duration: 12 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Description: A contractor position interfacing directly with the Client Environmental Technologies (CET) Division Engineering Measurements and Controls group with the purpose of contributing to and developing software and algorithms for processing imaging data.

This work supports the inspection and production of CET products. Day to Day Responsibilities: Work closely with the measurements group to develop approaches for data manipulation to assist with production and quality feedback. Develop software and image processing algorithms for inspection technology.

Transfer technology from early-stage development to a product suitable for use in manufacturing. Create/update documentation for release to production for applications and procedures. Train engineering, maintenance and operations people how to use and maintain developed applications and procedures.

Provide remote and onsite troubleshooting using data and performance analysis of the deployed applications. Required Education: BS degree required, prefer advanced degree in Data Science, Computer Engineering, Physics, EE, ECE or Optics. Required Experience/Skills: Programming ability (C# and Python strongly preferred) Understanding of Object-Oriented Programming and other software architecture concepts Knowledge of image processing algorithms (blob analysis, edge finding, morphology, feature extraction, classification, metrology) Client Restricted Data retrieval, plotting and analysis Strong communication and presentation skills (MS Office programs) Desired Experience/Skills: Experience with image processing development packages such as Halcon or OpenCV Ability to train CNNs and utilize traditional machine learning methods Knowledge of statistical analysis approaches and MEE concepts Ability to interface with Database Management Systems Experience with Metrology, Inspection and Product Quality in support of manufacturing Optical measurements system development (optics, lighting, cameras, image acquisition, image analysis, laser, 3D measurement) Fundamental knowledge of physical optics (principles of optics) Soft Skills: Ability to interact effectively with customers and coworkers as well as work independently.

You will need to be results oriented, a quick learner and be able to multi-task effectively About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer.

DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. C#, Python, Halcon, OpenCV, Image Processing Algorithms