---
title: 'AI/Computer Vision Engineer at Pano AI'
canonical: 'https://feeny.ai/job/ai-computer-vision-engineer-pano-ai-san-francisco-889b1kax6rhr'
type: 'job'
last_seen: '2026-09-09'
---

# AI/Computer Vision Engineer at Pano AI

- **Company:** Pano AI
- **Location:** San Francisco, CA
- **Compensation:** $141k–$184k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/pano-ai/df32faf6-5ce2-4c63-8929-ea46250b1f84

## Job description

HELP US TACKLE THE GROWING WILDFIRE CRISIS WITH THE LATEST ADVANCEMENTS IN AI AND IOT

## WHO WE ARE

The challenge: Every minute matters in wildfire response. As climate change increases the frequency and intensity of wildfires—with longer fire seasons, drier fuels, and more extreme weather—new ignitions can spread rapidly, putting communities, critical infrastructure, and ecosystems at risk. Today, many wildfires are first reported by members of the public, meaning it can take valuable time to detect a fire, confirm its location and size, and mobilize responders. Fire agencies need faster, more reliable ways to detect, verify, and pinpoint new ignitions so they can respond quickly and prevent small fires from becoming catastrophic events.

About Pano AI: Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and other data sources to provide real-time situational awareness and actionable intelligence. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.

We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco. Our customers include government agencies, utilities, insurers, and private landowners who rely on Pano AI to help protect people, property, and natural landscapes. Pano AI currently serves customers across the United States, Australia, and Canada, monitoring more than 50 million acres worldwide.

Our values are part of everything we do at Pano AI. They guide how we work together, how we serve our customers, and how we approach our mission.

Impact: As we scale our business, we grow our impact—enabling emergency managers to protect people, infrastructure, and the environment from devastating wildfires.

Service: We serve those who serve, and the teammates beside us.

Trust: We earn trust through integrity, accountability, and an obsession with quality so that our partners can rely on us.

Excellence and Speed: We produce exceptional work quickly because our mission demands both precision and urgency.

Innovation: We apply cutting-edge technology to what we build and how we work.

Our work has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023 https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023 and one of the World's Most Innovative Companies in 2026 https://www.fastcompany.com/91502951/pano-ai-most-innovative-companies-2026, ranking #1 in Sustainability. We have also been named to TIME's https://www.linkedin.com/company/time/ list of the 100 Most Influential Companies of 2025 https://time.com/collections/time100-companies-2025/7289577/pano-ai/ and recognized by MIT Technology Review https://www.technologyreview.com/2024/10/01/1104375/2024-climate-tech-companies-pano-ai-fire-detecting-ai/as one of the top climate technology companies to watch.

Backed by $89 million in funding https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/07/10/pano-series-a-extension/amp/ from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Learn more at www.pano.ai http://www.pano.ai.

## THE ROLE

We are looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring.

In this role, you will work alongside experienced AI researchers and engineers to develop, evaluate, optimize, and deploy computer vision models on both cloud and edge devices. You will gain hands-on experience across modern computer vision, edge AI, embedded systems, and real-world AI deployment.

Beyond wildfire detection, you will contribute to a variety of AI/computer vision projects, including vegetation detection, asset recognition, instance segmentation, scene understanding, spatial reasoning, and speech recognition. We value curiosity, adaptability, and a willingness to learn new technologies and tackle diverse technical challenges as our products evolve.

This is an excellent opportunity for an engineer who enjoys learning across the entire AI stack and wants to grow into a senior technical contributor.

## What you’ll do

- Assist in developing computer vision models for:
- Wildfire smoke detection
- Vegetation detection and classification
- Asset detection and recognition
- Instance and semantic segmentation
- Scene understanding and spatial reasoning
- Assist in developing speech recognition models for fire-related radio communications
- Help implement and maintain machine learning and computer vision pipelines.
- Assist with deploying and optimizing AI models on NVIDIA Jetson and other edge platforms.
- Support model optimization efforts, including TensorRT conversion, quantization, and inference acceleration.
- Build tools for data processing, visualization, benchmarking, evaluation, and monitoring.
- Conduct experiments, analyze model performance, and present findings to the team.
- Debug inference, deployment, networking, and hardware integration issues.
- Contribute to continuous learning, model evaluation, and data quality improvement workflows.
- Collaborate closely with AI researchers, software engineers, hardware engineers, and product teams.
- Document experiments, engineering decisions, and best practices.
- Take on a variety of technical challenges as needed and continuously expand your skills across computer vision and cloud/edge AI.

## What you’ll bring

Required

- BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field.
- 1–3 years of experience (including internships or research) in software engineering, machine learning, or computer vision.
- Experience with Python and deep learning frameworks such as PyTorch.
- Understanding of machine learning fundamentals and modern computer vision techniques.
- Familiarity with Linux development environments.
- Strong problem-solving skills, curiosity, and a desire to learn.
- Excellent communication and teamwork skills.

## Preferred

- Experience with NVIDIA Jetson, CUDA, TensorRT, ONNX, or embedded AI platforms.
- Experience with OpenCV.
- Experience with one or more of the following:
- Object detection
- Instance or semantic segmentation
- Image classification
- Multi-object tracking
- Video understanding
- Speech recognition
- Familiarity with vision foundation models such as SAM, Grounding DINO, or DINO is a plus.
- Experience with cloud platforms, MLOps, or CI/CD workflows.
- Interest in deploying AI systems in real-world environments, particularly outdoor vision systems.

Final compensation for regular full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, regular full-time roles are eligible for equity. Benefits are tailored to local market standards and statutory requirements in the employee's country of employment, and may include health coverage, retirement or pension contributions, and paid time off. Specific benefit details will be shared during the interview process.

## About Pano AI

## Company Overview
- **One-liner**: Pano AI provides an enterprise-grade, AI-powered wildfire detection and situational awareness platform that combines advanced hardware, artificial intelligence, and software to enable faster, smarter wildfire response.
- **Entity Type**: Private (Series B – $44M round led by Giant Ventures, July 2025)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Sonia Kastner (Co-Founder & CEO), Arvind Satyam (Co-Founder & Chief Commercial Officer)

## Core Business
- **Primary industry**: Climate Tech / Fire Protection / Public Safety
- **Target customers**: Government agencies (fire departments, emergency management), electric utilities, insurance companies, and private landowners (B2G / B2B – Enterprise & SMB)
- **Mission**: “Give firefighters advanced tools to safeguard lives, communities, and the environment.”

## Products & Services
- **Pano for Fire Professionals**: AI-driven detection, verification, and real-time mapping of wildfire events. Includes a network of ultra-high-definition 360-degree cameras on high vantage points, satellite feeds, and a command center dashboard for first responders.
- **Pano for Utilities**: Early wildfire detection and intelligence to help utilities maintain reliable power supply, reduce risk of ignitions, and protect infrastructure.
- **Pano for Landowners**: Monitoring and alerting service for private property owners in fire-prone areas.

All offerings are delivered as an integrated **SaaS + hardware solution** (proprietary camera units, AI/computer vision models, and software platform).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding – **$89 million** across 5 rounds (Seed, Convertible Note, two Series A rounds, and Series B). Estimated annual revenue: **$2.1 million** (per LinkedIn).
- **Notable Investors/Partners**: Giant Ventures (lead Series B), Initialized Capital (lead Series A), Valor Equity Partners (lead second Series A). Trusted by Xcel Energy, Washington Department of Natural Resources, and other leading enterprises/agencies.
- **Growth Signals**: 
  - Headcount grew **48.4% YoY** (163 employees as of mid-2025).
  - Operations in **7 countries** (US, Australia, UK, India, New Zealand, North Macedonia, Canada).
  - Featured in MIT Technology Review’s “2024 Climate Tech Companies to Watch”.
  - Xcel Energy using Pano AI to detect wildfires in the Texas Panhandle (Dec 2024).

## Competitive Advantages
- **Hardware + AI moat**: Proprietary network of ultra-high-definition 360-degree cameras combined with deep learning computer vision for automatic detection, verification, and classification of wildfire events.
- **Speed and precision**: Claims 95% of detected fires kept below 10 acres when using Pano (customer quote).
- **Enterprise integration**: Platform integrates with existing emergency management workflows and utility operations.
- **Trusted brand**: Used by major utilities, government agencies, and featured in national media.

## Strategic Focus
- **Scaling globally**: Expanding camera network and team across wildfire-prone regions (Australia, Europe, North America).
- **Deepening utility partnerships**: Tailoring solutions for power companies to manage wildfire risk and regulatory compliance.
- **Product expansion**: Enhancing AI capabilities and adding features for insurance, land management, and community alerting.

## Why Work Here
- **Mission-driven climate tech**: Employees are motivated by direct impact on protecting lives, property, and the environment.
- **Culture values**: Innovation, Trust, Excellence and Speed, Service, Impact – with emphasis on cutting-edge technology and urgency.
- **Team composition**: Founded by ex-Cisco, Tesla, Apple, Salesforce, and Nest professionals. Engineering is the largest department (~15% of workforce).
- **Work environment**: Based in San Francisco with distributed team across 7 countries. Likely hybrid/remote-friendly given global headcount (specific policy not disclosed).
- **Growth opportunities**: Rapidly scaling (48% headcount growth) – 16 active job postings as of mid-2025 covering engineering, sales, product, and marketing roles.
- **Employee ratings**: 3.8/5 on LinkedIn (18 reviews), with compensation rated 4.4/5 and culture 3.8/5.

## Sources
1. [pano.ai](https://www.pano.ai/)
2. [pano.ai/about](https://www.pano.ai/about)
3. [linkedin.com/company/pano-ai](https://www.linkedin.com/company/pano-ai)
4. [crunchbase.com/organization/pano-e50a](https://www.crunchbase.com/organization/pano-e50a)

## Other roles at Pano AI

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- [Operations Analyst](https://feeny.ai/job/operations-analyst-pano-ai-united-states-82bwtnpn3d2m) — United States
- [Strategic Sourcing Manager](https://feeny.ai/job/strategic-sourcing-manager-pano-ai-united-states-7fegahx3q2fd) — United States
- [Incident Analysis and Community Engagement Associate](https://feeny.ai/job/incident-analysis-and-community-engagement-associate-pano-ai-united-states-mm05b7dgvbn0) — United States
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