Data Engineer
Pano
This job is no longer accepting applications
See open jobs at Pano.See open jobs similar to "Data Engineer" Initialized Capital.Software Engineering, Data Science
San Francisco, CA, USA
Posted on Friday, February 9, 2024
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 Data Engineer will be a part of the detection team that develops and deploys AI to detect wildfires in mountaintop camera and satellite images. The Data Engineer will develop and maintain systems to manage large volumes of data, ranging from small structured data sources to large volumes of images. 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
Minimum Qualifications
Final salary offered is based upon multiple factors, including individual job-related qualifications, education, experience, knowledge, skills, and location. In addition to salary, this position is also eligible for stock options.
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.
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 Data Engineer will be a part of the detection team that develops and deploys AI to detect wildfires in mountaintop camera and satellite images. The Data Engineer will develop and maintain systems to manage large volumes of data, ranging from small structured data sources to large volumes of images. 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 pipelines to ingest, process and publish data, including data from Pano proprietary equipment and relevant publicly available datasets
- Develop internal tools for managing key internal processes, including dataset creation, data management (e.g. video creation), and results evaluation
- Build and manage large scale cloud pipelines that process images and structured data sources
- Manage and optimize data systems across in house and cloud systems, taking advantage of the latest technical developments
- Enable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability and optimizing for platform costs
Minimum Qualifications
- 3+ years of software engineering experience plus a BS in Computer Science or equivalent
- 2+ years of experience programming in Python
- 2+ years of experience building data systems on cloud service providers
- 2+ years of experience working with relational databases (e.g. PostgreSQL)
- Experience with Google Cloud
- Experience with containerization including Kubernetes
- Experience with CI/CD
- Excellent communication skills
Final salary offered is based upon multiple factors, including individual job-related qualifications, education, experience, knowledge, skills, and location. In addition to salary, this position is also eligible for stock options.
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.
This job is no longer accepting applications
See open jobs at Pano.See open jobs similar to "Data Engineer" Initialized Capital.