Pano AI

Software Engineer, AI Platform

San Francisco, CA, US

Hybrid, RemoteFull time roleMid Level

About 1 month ago

About the Job

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 AI is a 100+ person growth stage start-up, headquartered in San Francisco, that is the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely—with the right equipment, timely information, and enhanced coordination—so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence.

MIT Technology Review listed Pano as one of the top 15 climate tech companies to watch in 2024 and Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023. We’ve also been featured in the Wall Street Journal, Bloomberg, CNBC News, and a national TV commercial produced by strategic partner T-Mobile. Pano AI’s dozens of government and enterprise customers span 10 states in the U.S., five states in Australia, and BC, Canada, helping protect more than 30 million acres of land. Pano AI has raised $89M in venture capital funding from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at https://www.pano.ai/.

The Role:

Join our elite data platform team on the frontlines of environmental protection! As our AI Platform Engineer, you'll architect cutting-edge systems that harness the power of artificial intelligence to detect wildfires before they become catastrophic. Imagine building technology that scans mountains and forests from above, processing vast streams of data from remote cameras and satellites to spot the first wisps of smoke or flickers of flame. Your code won't just run on servers—it will save homes, forests, and lives.

You'll tackle the challenge of managing diverse data ecosystems—from intricate structured datasets to massive image repositories capturing our planet's vulnerable landscapes. Working alongside brilliant AI engineers and platform architects, you'll create revolutionary software solutions that transform how we address one of humanity's most urgent environmental threats. Every algorithm you optimize and every system you enhance directly strengthens our planet's defense network against devastating wildfires. In our dynamic, agile environment, you'll balance the thrill of developing groundbreaking features with the craftsmanship of refining our core technical infrastructure. If you're self-motivated, passionate about technological innovation with purpose, and ready to apply your skills to protect our natural world, this is your opportunity to make a tangible difference in the fight against climate change.

What you’ll do

Build and manage tools to accelerate AI model inference, training, and validation
Develop internal tools for managing key internal processes, including dataset creation, data management (e.g. video creation), and results evaluation
Develop models that general panoramic images from a series of camera images and provide mappings forward and backward between these two domains
Develop methods to map AI predictions to other data sources utilizing geometric transforms and artificial intelligence
Enable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability and optimizing for platform costs

What you’ll bring

5+ years of software engineering experience plus a BS in Computer Science or equivalent
3+ years of experience programming in Python
2+ years of experience with AI frameworks, like PyTorch
2+ years of experience working with relational databases (e.g. PostgreSQL)
Must be located in the Pacific or Mountain time zone

Preferred Qualifications

Experience with Google Cloud
Experience with distributed computing architectures, especially Ray
Experience with computer vision, with specific experience in imaging and geometry
Experience with containerization including Kubernetes
Experience with CI/CD
Strong technical communication skills

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.

About the Company

Pano AI

San Francisco, CA, USA

21-50

About Pano: Founded in 2020, <a href="https://www.pano.ai/">Pano</a> is building the world’s first fully-integrated disaster management platform focused on climate change resilience. Pano’s SaaS solution leverages advanced hardware, software, and artificial intelligence technologies to modernize the disaster preparedness industry. Pano Rapid Detect, the company’s first product, is already a leader in wildfire early detection and intelligence, with millions of dollars in revenue  stretching across 4 states in the U.S. and 2 states in Australia. Our customers include PG&E, Portland General Electric, the Big Sky Montana Fire Department, and Southern Cross Forests.Our team is composed of seasoned technology professionals from companies such as Cisco, Apple, and Nest. 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 $8M from leading VC funds and prominent angel investors, including the CEOs of Gitlab, HomeLight, and People.AI.

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