Sr. Computer Vision Software Development Engineer
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El puesto
Lead and implement computer vision and AI/ML solutions to detect and extract real-world objects from 360 imagery, video, LiDAR, and oriented imagery to support authoritative geospatial datasets.
Build scalable software for imagery, video, LiDAR, and 3D geospatial data, delivering production-ready features in Python, C++, and C#.
Optimize and deploy ML models in production, evaluate new AI/ML frameworks, and contribute to system architecture, performance, and code quality.
Collaborate with researchers, engineers, and product teams in an Agile environment to translate cutting-edge research into practical GIS solutions.
Work with GPU-accelerated workflows (CUDA) and leverage standard frameworks (PyTorch, TensorFlow, OpenCV) to drive high-performance results.
Focus on object detection, segmentation, feature extraction, and change detection to support roadway, asset management, and facility planning use cases.
Build scalable software for imagery, video, LiDAR, and 3D geospatial data, delivering production-ready features in Python, C++, and C#.
Optimize and deploy ML models in production, evaluate new AI/ML frameworks, and contribute to system architecture, performance, and code quality.
Collaborate with researchers, engineers, and product teams in an Agile environment to translate cutting-edge research into practical GIS solutions.
Work with GPU-accelerated workflows (CUDA) and leverage standard frameworks (PyTorch, TensorFlow, OpenCV) to drive high-performance results.
Focus on object detection, segmentation, feature extraction, and change detection to support roadway, asset management, and facility planning use cases.
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