<div><span style="font-size:21.3333px;">Who we are</span></div><div><br></div><div><span style="font-size:10pt;"><b>The problem:</b> 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. </span></div><div><br></div><div><span style="font-size:10pt;"><b>About Pano: </b>We are a 100+ person growth-stage hybrid-remote start-up, headquartered in San Francisco.  We are 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. </span></div><div><br></div><div><span style="font-size:10pt;">Pano AI is on</span><a style="font-size:10pt;" href="https://www.linkedin.com/company/time/"> TIME</a><span style="font-size:10pt;">'s list of the</span><a style="font-size:10pt;" href="https://time.com/collections/time100-companies-2025/7289577/pano-ai/"> 100 Most Influential Companies of 2025!</a><span style="font-size:10pt;"> MIT Technology Review listed Pano as one of the</span><a style="font-size:10pt;" href="https://www.technologyreview.com/2024/10/01/1104375/2024-climate-tech-companies-pano-ai-fire-detecting-ai/"> top 15 climate tech companies to watch</a><span style="font-size:10pt;"> in 2024, and Fast Company named Pano AI one of the</span><a style="font-size:10pt;" href="https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023"> Top 10 most innovative companies in AI of 2023</a><span style="font-size:10pt;">. We’ve also been featured in the</span><a style="font-size:10pt;" href="https://www.wsj.com/articles/ai-wildfire-detection-startup-raises-44-million-2d662b00?mod=venture-capital_feat1_new-money_pos1"> Wall Street Journal</a><span style="font-size:10pt;">,</span><a style="font-size:10pt;" href="https://www.bloomberg.com/news/articles/2025-01-21/la-fires-bolster-investment-case-for-climate-adaptation-technology"> Bloomberg</a><span style="font-size:10pt;">,</span><a style="font-size:10pt;" href="https://www.cnbc.com/video/2024/11/18/ai-helping-to-fight-wildfires.html"> and CNBC News</a><span style="font-size:10pt;">.  Pano AI’s dozens of government and enterprise customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised</span><a style="font-size:10pt;" href="https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/07/10/pano-series-a-extension/amp/"> $89M in venture capital funding</a><span style="font-size:10pt;"> from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at</span><a style="font-size:10pt;" href="https://www.pano.ai/"> https://www.pano.ai/</a><span style="font-size:10pt;">.  </span></div><div><br></div><div><br></div><div><br></div><div><b style="font-size:14pt;">The Role:</b></div><div><br></div><div><span style="font-size:10pt;">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.</span></div><div><br></div><div><span style="font-size:10pt;">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.</span></div><br><br><h3>What you’ll do</h3><ul><li>Build and manage tools to accelerate AI model inference, training, and validation</li><li>Develop internal tools for managing key internal processes, including dataset creation, data management (e.g. video creation), and results evaluation</li><li>Develop models that general panoramic images from a series of camera images and provide mappings forward and backward between these two domains</li><li>Develop methods to map AI predictions to other data sources utilizing geometric transforms and artificial intelligence</li><li>Enable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability and optimizing for platform costs</li></ul><h3>What you’ll bring</h3><ul><li>5+ years of software engineering experience plus a BS in Computer Science or equivalent</li><li>3+ years of experience programming in Python</li><li>2+ years of experience with AI frameworks, like PyTorch</li><li>2+ years of experience working with relational databases (e.g. PostgreSQL)</li><li>Must be located in the Pacific or Mountain time zone</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience with Google Cloud</li><li>Experience with distributed computing architectures, especially Ray</li><li>Experience with computer vision, with specific experience in imaging and geometry</li><li>Experience with containerization including Kubernetes</li><li>Experience with CI/CD</li><li>Strong technical communication skills</li></ul><br><div>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.</div>

<p><strong>About Pano</strong><span style="font-weight: 400;">: Founded in 2020, </span><a href="https://www.pano.ai/"><span style="font-weight: 400;">Pano</span></a><span style="font-weight: 400;"> is building the world&rsquo;s first fully-integrated disaster management platform focused on climate change resilience. Pano&rsquo;s SaaS solution leverages advanced hardware, software, and artificial intelligence technologies to modernize the disaster preparedness industry. Pano Rapid Detect, the company&rsquo;s first product, is already a leader in wildfire early detection and intelligence, with millions of dollars in revenue&nbsp; stretching across 4 states in the U.S. and 2 states in Australia. </span></p>
<p><span style="font-weight: 400;">Our customers include PG&amp;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&rsquo;ve raised over $8M from leading VC funds and prominent angel investors, including the CEOs of Gitlab, HomeLight, and People.AI. </span></p>

Software Engineer, AI Platform

<div><span>Who we are</span></div><div><br></div><div><span><b>The problem:</b> Every minute matters in fire response.&nbsp; 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.&nbsp;</span></div><div><br></div><div><span><b>About Pano: </b>We are a 100+ person growth-stage hybrid-remote start-up, headquartered in San Francisco.&nbsp; We are 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.&nbsp; 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.&nbsp;</span></div><div><br></div><div><span>Pano AI is on</span><a href="https://www.linkedin.com/company/time/"> TIME</a><span>'s list of the</span><a href="https://time.com/collections/time100-companies-2025/7289577/pano-ai/"> 100 Most Influential Companies of 2025!</a><span> MIT Technology Review listed Pano as one of the</span><a href="https://www.technologyreview.com/2024/10/01/1104375/2024-climate-tech-companies-pano-ai-fire-detecting-ai/"> top 15 climate tech companies to watch</a><span> in 2024, and Fast Company named Pano AI one of the</span><a href="https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023"> Top 10 most innovative companies in AI of 2023</a><span>. We’ve also been featured in the</span><a href="https://www.wsj.com/articles/ai-wildfire-detection-startup-raises-44-million-2d662b00?mod=venture-capital_feat1_new-money_pos1"> Wall Street Journal</a><span>,</span><a href="https://www.bloomberg.com/news/articles/2025-01-21/la-fires-bolster-investment-case-for-climate-adaptation-technology"> Bloomberg</a><span>,</span><a href="https://www.cnbc.com/video/2024/11/18/ai-helping-to-fight-wildfires.html"> and CNBC News</a><span>.&nbsp; Pano AI’s dozens of government and enterprise customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised</span><a href="https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/07/10/pano-series-a-extension/amp/"> $89M in venture capital funding</a><span> from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at</span><a href="https://www.pano.ai/"> https://www.pano.ai/</a><span>. &nbsp;</span></div><div><br></div><div><br></div><div><br></div><div><b>The Role:</b></div><div><br></div><div><span>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.</span></div><div><br></div><div><span>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.</span></div><br><br><h3>What you’ll do</h3><ul><li>Build and manage tools to accelerate AI model inference, training, and validation</li><li>Develop internal tools for managing key internal processes, including dataset creation, data management (e.g. video creation), and results evaluation</li><li>Develop models that general panoramic images from a series of camera images and provide mappings forward and backward between these two domains</li><li>Develop methods to map AI predictions to other data sources utilizing geometric transforms and artificial intelligence</li><li>Enable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability and optimizing for platform costs</li></ul><h3>What you’ll bring</h3><ul><li>5+ years of software engineering experience plus a BS in Computer Science or equivalent</li><li>3+ years of experience programming in Python</li><li>2+ years of experience with AI frameworks, like PyTorch</li><li>2+ years of experience working with relational databases (e.g. PostgreSQL)</li><li>Must be located in the Pacific or Mountain time zone</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience with Google Cloud</li><li>Experience with distributed computing architectures, especially Ray</li><li>Experience with computer vision, with specific experience in imaging and geometry</li><li>Experience with containerization including Kubernetes</li><li>Experience with CI/CD</li><li>Strong technical communication skills</li></ul><br><div>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.</div>

Software Engineer, AI Platform

About the Job

About the Company

Pano AI

Similar Jobs

Product & Tech Lead (AI Expert)

Product & Tech Lead (AI Expert)

Full-Stack Engineer, ML Infrastructure

Full-Stack Engineer, ML Infrastructure

Lead, AI/ML Platform Engineer

Lead, AI/ML Platform Engineer

Software Engineer

Software Engineer

Staff Software Engineer – AI Agents

Staff Software Engineer – AI Agents

Staff Software Engineer - AI Infrastructure

Staff Software Engineer - AI Infrastructure

AI Enablement and Solutions Specialist

AI Enablement and Solutions Specialist

Machine Learning Engineer (AI Platform)

Machine Learning Engineer (AI Platform)

AI/ML Engineer

AI/ML Engineer

AI Systems Engineer

AI Systems Engineer