Remote Position
AI/Computer Vision Engineer
🌍 Remote · United States
💼 Full-time
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.