Pano AI
Software Engineer, Data Platform
Pano AI, San Francisco, California, United States, 94199
Who we areThe 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 RoleThe Software Engineer will be a part of the data platform pod that develops and deploys data ingestion and processing systems. The Software Engineer will develop and maintain systems to manage large volumes of data, ranging from small structured datasources to large volumes of images. You'll work with other software engineers, platform engineers, and computer vision 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 pipelines to ingest, process and publish data, including data from Pano proprietary equipment and relevant publicly available datasetsBuild and manage large scale cloud pipelines that process images and structured data sources, including the deployment of new cloud-based processing systemsOptimize and maintain key data collection and image processing software running in the cloud and on embedded systemsDevelop internal tools for managing dataset creation, data management (e.g. video creation), and results evaluationManage and optimize data systems across in house and cloud systems, taking advantage of the latest technical developmentsEnable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability and optimizing for platform costsWhat you'll bring
4+ years of software engineering experience plus a BS in Computer Science or equivalent2+ years of experience programming in Python2+ years of experience building data systems on cloud service providers2+ years of experience working with relational databases (e.g. PostgreSQL)Preferred skills
Experience with Google CloudExperience with embedded systemsExperience with containerization including KubernetesExperience with CI/CDExcellent communication skillsPano 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.
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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 RoleThe Software Engineer will be a part of the data platform pod that develops and deploys data ingestion and processing systems. The Software Engineer will develop and maintain systems to manage large volumes of data, ranging from small structured datasources to large volumes of images. You'll work with other software engineers, platform engineers, and computer vision 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 pipelines to ingest, process and publish data, including data from Pano proprietary equipment and relevant publicly available datasetsBuild and manage large scale cloud pipelines that process images and structured data sources, including the deployment of new cloud-based processing systemsOptimize and maintain key data collection and image processing software running in the cloud and on embedded systemsDevelop internal tools for managing dataset creation, data management (e.g. video creation), and results evaluationManage and optimize data systems across in house and cloud systems, taking advantage of the latest technical developmentsEnable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability and optimizing for platform costsWhat you'll bring
4+ years of software engineering experience plus a BS in Computer Science or equivalent2+ years of experience programming in Python2+ years of experience building data systems on cloud service providers2+ years of experience working with relational databases (e.g. PostgreSQL)Preferred skills
Experience with Google CloudExperience with embedded systemsExperience with containerization including KubernetesExperience with CI/CDExcellent communication skillsPano 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.
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