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Who We Are:
- Pano AI is the leader in AI-powered wildfire detection, using advanced hardware and AI to provide real-time situational awareness.
- Backed by $89 million in funding, our team of 175+ works hybrid-remote across North America and Australia.
The Role:
- As a Computer Vision Engineer, you will build cloud/edge vision systems for wildfire detection and environmental monitoring.
- You will develop, evaluate, optimize, and deploy CV models on edge devices like NVIDIA Jetson.
- You'll collaborate across teams and contribute to projects including vegetation detection, asset recognition, and spatial reasoning.
What You'll Bring:
- BS or MS in CS, EE, or related field with 1-3 years of experience in software engineering, ML, or CV.
- Strong Python and PyTorch skills, plus familiarity with Linux and machine learning fundamentals.
- Preferred experience with NVIDIA Jetson, CUDA, TensorRT, and OpenCV for real-world AI deployment.
Pano AI
Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco.