Computer VisionEngineering Jobs
Build visual AI systems -- image recognition, object detection, autonomous vehicles, and generative image/video models. PyTorch, OpenCV, and deep learning expertise required. $140k-$280k+ salaries.
Computer vision engineers build systems that understand and generate visual content. The field spans from classical image processing to cutting-edge generative models for image and video creation. Applications include autonomous vehicles, robotics, medical imaging, AR/VR, content generation, and visual search.
Top employers include AI robotics companies (Waymo, Figure AI, Nuro), generative AI startups (Runway, Pika), and large tech companies with perception teams. Key skills include PyTorch, convolutional neural networks, transformer-based vision models (ViT, CLIP), and experience with real-time inference systems.
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Frequently Asked Questions
What does a computer vision engineer do?
Computer vision engineers design and implement systems that process and understand visual data. This includes building object detection and tracking systems, image segmentation models, 3D reconstruction pipelines, and generative image/video models. They work in domains like autonomous driving, robotics, medical imaging, and content creation.
What skills are needed for computer vision jobs?
Core skills include Python, PyTorch, and deep learning fundamentals (CNNs, transformers). Experience with OpenCV, image processing, and model optimization for real-time inference is important. Knowledge of 3D vision, point clouds, or SLAM is valued for robotics roles. For generative AI roles, experience with diffusion models and GANs is increasingly sought after.