Computer Vision Engineer

Computer Vision Engineers develop systems that interpret and analyze visual information from images and videos. They build applications for object detection, facial recognition, medical imaging, autonomous vehicles, and augmented reality.

Key Responsibilities: • Design and implement computer vision algorithms • Build object detection and image segmentation models • Develop facial recognition and tracking systems • Optimize CV models for real-time inference • Create data annotation pipelines • Deploy vision models on edge devices

Required Skills: OpenCV, CNNs, YOLO/Faster R-CNN, semantic segmentation, PyTorch/TensorFlow, image processing, 3D vision, SLAM, object tracking, camera calibration, edge deployment, OpenVINO/TensorRT

Career Path: Entry-level CV engineers implement standard vision pipelines. Mid-level engineers design custom architectures for specific applications. Senior engineers lead vision platform development. Principal engineers set technical vision for CV systems across products.

Top Hiring Companies: Tesla, Waymo, Cruise, Aurora, Apple, Meta Reality Labs, Google, Microsoft, NVIDIA, Amazon, Snap, Mobileye, Scale AI, Roboflow