About the Company / Team
• Pano AI is a leader in AI-powered wildfire detection and intelligence.
• The team consists of over 175 people working in a hybrid-remote environment across North America and Australia.
• Headquartered in San Francisco, serving customers including government agencies and private landowners.
Role Overview
• Looking for a motivated Computer Vision Engineer to build cloud/edge-based vision systems for wildfire detection.
Key Responsibilities
• Develop computer vision models for wildfire smoke detection and vegetation classification.
• Implement and maintain machine learning and computer vision pipelines.
• Deploy and optimize AI models on edge platforms like NVIDIA Jetson.
• Conduct experiments and analyze model performance.
Required Skills & Qualifications
• BS or MS in Computer Science, Electrical Engineering, Robotics, or related field.
• 1–3 years of experience in software engineering, machine learning, or computer vision.
• Experience with Python and deep learning frameworks such as PyTorch.
• Understanding of machine learning fundamentals and modern computer vision techniques.
Preferred Qualifications
• Experience with NVIDIA Jetson, CUDA, TensorRT, or embedded AI platforms.
• Experience with OpenCV.
• Familiarity with vision foundation models such as SAM or DINO.
Benefits & Perks
• Health coverage, retirement or pension contributions, and paid time off.
• Specific benefit details will be shared during the interview process.
Compensation
• Final compensation determined by job-related qualifications, education, experience, skills, knowledge, and geographic location.
• Eligible for equity in addition to base salary.
Location / Work Arrangement
• Hybrid-remote environment across North America and Australia.
• Headquarters in San Francisco.