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About the Role:
- Lead design and deployment of computer vision models on cloud and edge for wildfire detection.
- Drive innovation in spatial reasoning and scene understanding for outdoor environments.
What You'll Do:
- Architect real-time AI pipelines for edge (Jetson, TensorRT) and cloud.
- Develop detection, segmentation, and tracking models; optimize with CUDA and ONNX.
- Mentor junior engineers and set best practices for edge AI.
What You'll Bring:
- MS/PhD in CS/EE/Robotics with 5+ years in computer vision.
- Strong PyTorch, CUDA, TensorRT, and edge deployment experience.
- Proficiency in Python and C++.
Pano AI
Pano AI is a leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster. Our team of 175+ works in a hybrid-remote environment across North America and Australia, based in San Francisco.