Senior Computer Vision Engineer, 3D

Posted 24 Days Ago
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San Francisco, CA
180K-205K Annually
5-7 Years Experience
Artificial Intelligence • Hardware • Software
The Role
The Senior Computer Vision Engineer will develop algorithms for detecting and monitoring wildfires using mountaintop cameras and satellite images. Responsibilities include improving camera systems, optimizing algorithms, and implementing solutions to enhance fire detection capabilities. The role emphasizes self-motivation, agility, and collaboration with platform engineers to tackle environmental challenges.
Summary Generated by Built In

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 Senior Computer Vision Engineer will be a part of the Computer Vision team that develops and deploys algorithms to detect, localize, and monitor wildfires from mountaintop cameras and satellite images. The Senior Computer Vision Engineer will develop and maintain systems related to camera capture, localization, visualization, and geometric understanding. You'll work with 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 systems that work at the intersection of terrestrial camera and geospatial data
  • Own the software algorithms that estimate locations, stitch panoramas, and contextually visualize real world information
  • Improve geometrics models and provide invertible mappings between 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

  • 5+ years of industry experience plus a MS in Computer Science – OR – 3+ years of industry experience plus a PhD in Computer Science
  • 3+ years of industry experience in computer vision, with specific experience in imaging and geometry
  • 3+ years of experience programming in Python

Preferred skills

  • Experience working with geospatial data / GIS systems
  • Experience working with cloud and embedded systems
  • 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.

The Company
San Francisco, CA
41 Employees
On-site Workplace
Year Founded: 2019

What We Do

Pano AI (Pano) is the leader in early wildfire detection and intelligence, providing government, utilities, insurers, and private landowners with advanced tools and up-to-the-minute intelligence to quickly mitigate wildfire threats while protecting lives, property, and the environment.

Pano combines advanced hardware, artificial intelligence, and software in a single integrated enterprise solution. Leveraging data and satellite feeds, as well as propriety imagery from a network of ultra-high-definition, 360-degree cameras atop high vantage points, Pano’s artificial intelligence model produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence.

Pano is based in San Francisco with a team of experienced technology professionals–from companies including Cisco, Tesla, Apple, Salesforce, and Nest–who are on a mission to give firefighters advanced tools to safeguard lives, communities, and the environment. Recently, Pano has been featured on Fox Business News, the San Francisco Chronicle, Morning Brew, and T&D World Magazine. Learn more at https://www.pano.ai/.

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