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Opencv Jobs (NOW HIRING)

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Utilize OpenCV for image recognition and data extraction in visual and document-based workflows. * Apply AI and machine learning techniques (e.g., OCR, NLP, predictive analytics) to enhance ...

Jorie AI

Software Engineer

Oak Brook, IL · On-site

$90K - $120K/yr

Utilize OpenCV for image recognition and data extraction in visual and document-based workflows. * Apply AI and machine learning techniques (e.g., OCR, NLP, predictive analytics) to enhance ...

Figure

Helix AI Engineer, AndroidNew

San Jose, CA · On-site

TensorFlow Lite, MediaPipe, ONNX Runtime, or OpenCV applied to raw sensor feeds. • Familiarity with WebRTC or other low-latency streaming protocols for real-time video. • Background in DSP ...

SRI Tech solutions Inc

C++ Developer

Redmond, WA · On-site

$55 - $74/hr

Experience with OpenCV and SQL are a definite plus * Passion for Machine learning * Passion for quality with experience designing and implementing automated tests, including unit tests and ...

Omni Inclusive

Firmware Validation

Redmond, WA · On-site

Familiarity with object detection, recognition, and tracking techniques and libraries such as OpenCV, YOLO * Experience in Azure ADO, CI/CD pipeline and releases. Knowledge of YAML files

Figure

Helix AI Engineer, Android

San Jose, CA · On-site

TensorFlow Lite, MediaPipe, ONNX Runtime, or OpenCV applied to raw sensor feeds. • Familiarity with WebRTC or other low-latency streaming protocols for real-time video. • Background in DSP ...

Figure

Helix AI Engineer, Android

San Jose, CA · On-site

TensorFlow Lite, MediaPipe, ONNX Runtime, or OpenCV applied to raw sensor feeds. • Familiarity with WebRTC or other low-latency streaming protocols for real-time video. • Background in DSP ...

SRI Tech solutions Inc

C++ Developer

Redmond, WA · On-site

$55 - $74/hr

Experience with OpenCV and SQL are a definite plus * Passion for Machine learning * Passion for quality with experience designing and implementing automated tests, including unit tests and ...

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$128.7K

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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.
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What cities are hiring for Opencv jobs? Cities with the most Opencv job openings:
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Opencv jobs near you
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.

Computer Vision Perception Engineer (Autonomous Driving)

VDart

Detroit, MI • On-site

$102K - $120K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Computer Vision Perception Engineer (Autonomous Driving)
Position Type: Contract
Location: Detroit, MI
Job Description:
What You Will Do:
  • Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
  • Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
  • Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
  • Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
  • Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
  • Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
  • Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
  • Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
  • Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Optimize deep learning models for edge deployment and real-time inference performance.
  • Develop robust evaluation metrics and testing frameworks for object detection systems.
  • Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
What You Will Bring:
  • Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
  • Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
  • Extensive experience with OpenCV for image processing and computer vision applications.
  • Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
  • Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
  • Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
  • Experience with sensor fusion techniques for combining camera and LiDAR data streams.
  • Strong programming skills in Python and C++ for algorithm development and optimization.
  • Experience with model optimization techniques for real-time inference.
  • Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
  • Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).

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