Senior Computer Vision Engineer
Pano Ai
| Company | Pano Ai |
| Category | Engineering |
| Location | San Francisco |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Senior |
| Salary | USD 195k–255k |
| Posted | 3 Aug 2026 |
| Last verified | 8 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
HELP US TACKLE THE GROWING WILDFIRE CRISIS WITH THE LATEST ADVANCEMENTS IN AI AND IOT
WHO WE ARE
The challenge: Every minute matters in wildfire response. As climate change increases the frequency and intensity of wildfires—with longer fire seasons, drier fuels, and more extreme weather—new ignitions can spread rapidly, putting communities, critical infrastructure, and ecosystems at risk. Today, many wildfires are first reported by members of the public, meaning it can take valuable time to detect a fire, confirm its location and size, and mobilize responders. Fire agencies need faster, more reliable ways to detect, verify, and pinpoint new ignitions so they can respond quickly and prevent small fires from becoming catastrophic events.
About 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. Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and other data sources to provide real-time situational awareness and actionable intelligence. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.
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. Our customers include government agencies, utilities, insurers, and private landowners who rely on Pano AI to help protect people, property, and natural landscapes. Pano AI currently serves customers across the United States, Australia, and Canada, monitoring more than 50 million acres worldwide.
Our work has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023 https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023 and one of the World's Most Innovative Companies in 2026 https://www.fastcompany.com/91502951/pano-ai-most-innovative-companies-2026, ranking #1 in Sustainability. We have also been named to TIME's https://www.linkedin.com/company/time/ list of the 100 Most Influential Companies of 2025 https://time.com/collections/time100-companies-2025/7289577/pano-ai/ and recognized by MIT Technology Review https://www.technologyreview.com/2024/10/01/1104375/2024-climate-tech-companies-pano-ai-fire-detecting-ai/as one of the top climate technology companies to watch.
Backed by $89 million in funding https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/07/10/pano-series-a-extension/amp/ from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Learn more at www.pano.ai http://www.pano.ai.
THE ROLE
We are building the next generation of cloud/edge-based vision systems that combine computer vision, edge AI, PTZ cameras, and cloud intelligence to deliver real-time situational awareness for wildfire detection and beyond.
As a Senior Computer Vision Engineer, you will lead the design, development, optimization, and deployment of computer vision models and inference pipelines running on both cloud and edge devices. In addition to advancing our wildfire detection capabilities, you will develop new vision algorithms that understand complex outdoor scenes, including vegetation detection, asset recognition, object localization, and spatial reasoning (e.g., estimating distances between detected objects and critical infrastructure).
This is a hands-on technical leadership role with significant ownership of our edge AI and computer vision roadmap.
What you’ll do
- Design and implement cloud/edge AI architectures for real-time compu