Job Summary:

We are seeking a Lead Computer Vision Engineer with expertise in image detection, barcode detection and reading, and edge (border) detection to drive the development of intelligent vision-based systems. This role will be responsible for designing and implementing advanced computer vision models and algorithms that provide image processing, object recognition, and real-time barcode scanning capabilities. The ideal candidate has a strong background in deep learning, image analysis, and embedded vision applications, with experience deploying solutions in production environments.

Key Responsibilities:

• Computer Vision & Image Processing (30%):

  • Develop and optimize image detection algorithms for object recognition, classification, and anomaly detection.

  • Design and implement barcode detection and reading models for various symbologies (e.g., 1D, 2D, QR codes).

  • Create edge detection and segmentation algorithms to accurately extract regions of interest from images.

• Integration & Deployment (30%):

  • Collaborate with software engineers to integrate computer vision models into production applications.

  • Deploy vision-based applications in cloud, edge, and mobile environments (e.g., Azure, GCP, iOS/Android (MAUI), or IoT devices).

  • Utilize barcode scanning SDKs (Code Corp, Zebra, or others) for industrial and healthcare use cases.

• Machine Learning & Deep Learning (15%):

  • Utilize deep learning frameworks such as TensorFlow and OpenCV (EMGU) to develop vision-based AI models.

  • Utilize pre-trained CNNs (Convolutional Neural Networks) for feature extraction, edge detection, and classification.

  • Implement real-time object tracking and pose estimation for dynamic applications.

• Optimization & Performance Tuning (15%):

  • Optimize vision models for low-latency and high-accuracy performance in real-world environments.

  • Implement edge computing solutions using TensorRT for efficient deployment on embedded systems.

  • Work with parallel processing (CUDA, GPU acceleration) to improve inference speed.

• Research & Innovation (10%):

  • Stay updated with the latest advancements in computer vision, AI, and image processing.

  • Experiment with novel techniques in generative AI, reinforcement learning, and 3D vision reconstruction.

  • Contribute to research publications, patents, and open-source projects in the field of computer vision.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Computer Vision, AI, Electrical Engineering, or a related field (Ph.D. preferred).

• Experience:

  • 6+ years of experience in computer vision and image processing.

  • Proven experience in image detection, barcode scanning, and edge/feature detection.

  • Hands-on expertise with OpenCV (EMGU) and TensorFlow/TensorFlowRT for vision-based applications.

• Technical Skills:

  • Strong programming skills in Python, HTML5/Javascript, C#, MAUI, and OpenCV (EMGU) for mobile app and backend development

  • Experience with barcode scanning SDKs, OCR frameworks, and optical character recognition (Tesseract, EasyOCR).

  • Familiarity with geometric transformations, contour detection, and feature extraction techniques.

  • Experience with real-time video analysis and embedded vision applications.

  • Knowledge of cloud-based AI/ML deployment on GCP, or Azure.

• Soft Skills:

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

  • Leadership experience in guiding junior engineers and collaborating with cross-functional teams.

Preferred Skills:

• Experience with LiDAR, depth sensing, and multispectral imaging.

• Knowledge of SLAM (Simultaneous Localization and Mapping) for robotics or AR applications.

• Familiarity with augmented reality (AR) and computer vision in mixed reality environments.

• Experience with compliance and security regulations in computer vision for healthcare, finance, or industrial sectors.

We are an Equal Opportunity Employer, including disability/vets.