2 months ago
Remote, United States or San Francisco, CA, USAEntry Level / Mid Level
H1B sponsor
Base Salary
$141k - $184k/yr
Responsibilities
- Develop and evaluate computer vision models for wildfire smoke detection, vegetation detection and classification, asset recognition, segmentation, scene understanding, and spatial reasoning.
- Implement and maintain machine learning and computer vision pipelines.
- Deploy and optimize AI models on NVIDIA Jetson and other edge platforms.
- Optimize models through TensorRT conversion, quantization, and inference acceleration.
- Build tools for data processing, visualization, benchmarking, evaluation, and monitoring.
- Conduct experiments, analyze model performance, and present findings to the team.
- Debug inference, deployment, networking, and hardware integration issues.
- Contribute to continuous learning, model evaluation, and data quality improvement workflows.
- Collaborate with AI researchers, software engineers, hardware engineers, and product teams.
- Document experiments, engineering decisions, and best practices.
Requirements
- BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field.
- 1–3 years of experience, including internships or research, 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.
- Familiarity with Linux development environments.
- Strong problem-solving skills, curiosity, and willingness to learn.
- Excellent communication and teamwork skills.
- Preferred experience with NVIDIA Jetson, CUDA, TensorRT, ONNX, embedded AI platforms, or OpenCV.
- Preferred experience with object detection, instance or semantic segmentation, image classification, multi-object tracking, or video understanding.
- Familiarity with vision foundation models such as SAM, Grounding DINO, or DINO is a plus.
- Experience with cloud platforms, MLOps, or CI/CD workflows is preferred.
- Interest in deploying AI systems in real-world environments, particularly outdoor vision systems.
Benefits
- Hybrid-remote work environment across North America and Australia.
- Benefits may include health coverage, retirement or pension contributions, and paid time off, depending on local market standards and statutory requirements.
- Regular full-time employees are eligible for equity.
- Specific benefit details are shared during the interview process.
Categories
About Pano AI
Pano AI builds an early wildfire detection and intelligence platform that combines high‑vantage 360° cameras, satellite feeds, and AI software for real-time situational awareness. It sells an integrated hardware-and-software service to government agencies, utilities, insurers, and private landowners. Founded in 2019 and headquartered in San Francisco, the company operates in the United States, Australia, and Canada and reports monitoring more than 50 million acres.