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Computer Vision Engineer
3 months ago
Who we are
The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, dryer fuels, and faster winds—new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond—preventing small flare-ups from becoming devastating infernos.
About Pano: Pano is a venture-backed early-stage climate tech startup that is the leader in wildfire early detection, leveraging the latest advancements in IoT, AI, satellites, and SaaS software to deliver actionable intelligence to customers. Pano leverages mountaintop cameras and satellites to detect the first traces of smoke and put real-time fire images in the hands of asset owners and first responders to speed up containment. Pano is already partnering with major utilities, fire authorities, and government agencies in the USA and Australia. Recent media coverage includes being named one of the Top 10 most innovative companies in AI of 2023 by FastCompany and recipient of the Innovative Mobile Service and Application Award at Mobile World Congress through our partnership with T-Mobile.
Pano brings together a diverse team bridging frontline, wildland firefighting experience with best-in-class know-how in operations, logistics, artificial intelligence, and software. Our team is composed of experienced technology professionals from companies such as Apple, Cisco, Nest, DoorDash and Meta. Headquartered in San Francisco with an office and factory in the Mission District, our hybrid team works from locations around the world. Founded in mid-2020, we've raised over $40M from leading VC funds.
The Role
The Computer Vision Engineer will be a part of the detection team that develops and deploys AI to detect wildfires in mountaintop camera and satellite images. The Computer Vision Engineer will develop and maintain systems related to camera capture and geometric understanding. You'll work with AI engineers and platform engineers to develop novel software solutions to enable real-world handling of a key environmental challenge. As a self-motivated and enthusiastic member of our team, you will work in an agile environment and balance developing critical new features with improving the core technical underpinnings of our system.
What You'll Do
- Develop geometrics models that generate panoramic images from a series of camera images and provide mappings forward and backward between these two domains
- Optimize our camera capture systems to get the best images for fire detection
- Develop methods to map AI predictions to other data sources utilizing geometric transforms and artificial intelligence
- Analyze the results and compare between different algorithms to select the most appropriate mechanism
- Implement these algorithms so that they can be deployed to our production systems and drive significant improvements in our business metrics
- Manage and optimize geometric systems across in-house and cloud systems, taking advantage of the latest technical developments
What you'll bring
- 2+ years of software engineering experience plus a MS in Computer Science – OR – 4+ years of experience plus a BS in Computer Science
- 2+ years of industry experience in computer vision, with specific experience in imaging and geometry
- 2+ years of experience programming in Python
Preferred skills
- Experience working with embedded systems
- Experience working in Java
- Excellent communication skills
- Preference for someone in the Pacific / Mountain time zone
Pano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
