Pano AI

Own process quality across product deployment lifecycle including developing process artifacts and supporting root cause investigations. | 7+ years in process quality or manufacturing process engineering with experience in hardware, firmware, and software integration and process improvement. | Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT 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: We are a 150+ 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. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! 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, and CNBC News. 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 $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 Pano is hiring a Senior Process Quality Engineer to support the design, roll out, and continuous improvement of the operational processes that ensure our camera systems and AI-driven services meet high reliability and quality targets at scale. You will develop and implement process controls and verification across product deployment site selection and audits, manufacturing/assembly, installation, and maintenance/monitoring. You will also partner with human-in-the-loop operations to define QA for the alert review workflow and to improve tools, throughput, and accuracy of human adjudicators. This is a hands-on, cross-functional role that requires both process rigor and product empathy — you’ll dive into details while keeping the system-level risk picture front-and-center. What you’ll do Own process quality across the product deployment lifecycle: site selection & audits → manufacturing/assembly → installation & commissioning → maintenance & monitoring, as well as human-in-the-loop operations Develop and maintain process FEMAs, SOPs, installation checklists, and production and installation readiness gates that scale across regions and suppliers. Implement and operationalize KPIs & dashboards (e.g., first-pass yield, install success rate, MTTR) and use telemetry and ops data to detect process drift or systemic failures. Support root-cause investigations for process-related failures (incoming defects, installation errors, field incidents); own containment and durable corrective actions and verify effectiveness. Partner with human-in-the-loop operations: define QA for alert adjudication workflows, design audits for human review accuracy, and contribute quality requirements to tools and SOPs used by operators. Coach and enable field teams (installers, technicians, ops) with training, checklists, job aids, and feedback loops to continuously improve execution quality. Work cross-functionally with Operations, Hardware, Software, Customer Success to ensure traceability between process controls, system risks, and verification evidence. What you’ll bring BS in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, or equivalent experience. 7+ years’ experience in process quality, manufacturing process engineering, field operations quality, or similar roles for products that combine hardware, firmware and software (embedded + cloud + AI). Proven track record developing and maintaining process artifacts (e.g. FMEAs, installation/commissioning checklists, supplier audits, production readiness gates, and acceptance criteria). Strong experience running RCAs (root-cause analysis), CAPA/8D follow-through, and proving effectiveness of corrective actions. Experience instrumenting and using operations/telemetry data to detect process issues and drive continuous improvement. Hands-on experience with field installs, audits, or supplier site visits — comfortable traveling for hands-on assessments. Excellent written and verbal communication skills — able to present technical findings and risk decisions to both engineers and executive stakeholders. Preferred Prior experience with camera systems, telecom/tower installs, enterprise security cameras, industrial IoT, or telecom infrastructure operations. Experience designing QA programs for human-in-the-loop monitoring/alerting (operator QA, audit sampling, accuracy KPIs). Familiarity with test/inspection tools (e.g., handheld test rigs, ICC/ISP verification checks), and data tooling for dashboards (SQL, Looker, Tableau, or Python). Prior experience building and scaling field operations processes across regions. Final compensation for 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, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.

Act as independent quality and systems-risk steward across hardware, firmware, software, and AI subsystems, leading risk artifacts and verification strategies. | BS in Engineering with 10+ years in design quality, reliability, or systems engineering for integrated hardware, firmware, software, and AI products, with proven risk artifact ownership and V&V strategy experience. | Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT 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: We are a 150+ 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. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! 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, and CNBC News. 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 $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 Pano is seeking a Senior/Staff Design Quality Engineer with end-to-end systems thinking to act as the independent quality and systems-risk steward across hardware, firmware, software, and AI subsystems. You will partner deeply with Hardware, Software, AI and Operations teams to identify and mitigate system-level risks, define verification and validation strategies, and ensure our camera systems and analytics are designed to behave safely and reliably in the field. This role is both strategic (setting system-level risk posture and release criteria) and tactical (influencing good requirements and design, defining test methods, and closing evidence to support product releases and field improvements). What you’ll do Serve as the Design Quality / Systems Quality representative embedded in one or more product teams — influence requirements, architecture, and release criteria from concept through production and sustaining. Lead and maintain system-level risk artifacts (e.g. system FMEAs/DFMEAs) and ensure traceability between risks, requirements, tests and mitigations. Define and own verification & validation strategy at the system-level: coordinate test plans, field trials, test method validation, statistical acceptance criteria and objective evidence for release. Drive risk-based decision making — prioritize mitigations given ambiguous tradeoffs and document rationale for release decisions and residual risk. Select and drive execution of reliability and stress tests that emulate real-world field conditions (e.g. power/thermal cycling, packet-loss/high-latency networks, exposure, OTA update failure modes). Collaborate with AI and product analytics to define observability & telemetry needed for model performance monitoring in the field and tie those signals back into verification and risk mitigation strategies. Mentor engineers and product teams on structured problem-solving (5-Whys, DMAIC, etc.) and quality best practices that scale across fast evolving hardware/AI products. What you’ll bring BS in Engineering (Mechanical, Electrical, Computer, Systems or related) or equivalent experience 10+ years’ experience in design quality, reliability engineering, systems engineering, or similar roles for products that combine hardware, firmware and software (embedded + cloud + AI). Proven experience owning system-level risk artifacts and applying risk-based decision making. Hands-on experience planning and executing verification & validation strategies, including test method selection/development and use of statistical techniques for acceptance criteria. Deep product empathy and demonstrable experience driving tradeoffs to improve field outcomes or customer experience. Excellent written and verbal communication skills — able to present technical findings and risk decisions to both engineers and executive stakeholders. Preferred Prior experience with camera systems, imaging pipelines, sensor fusion, or edge AI deployments. Experience with OTA update strategies, installed base telemetry, and telemetry-driven iteration of design and AI models. Experience with statistical tools (Minitab, Python data stack) and reliability models (Weibull, MTBF/MTTF analysis). Experience mentoring team members and scaling quality processes in a growing company. Final compensation for 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, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.

Lead the development and maintenance of a mobile application supporting wildfire detection, collaborating with cross-functional teams to deliver high-quality, accessible solutions. | 5-10 years of frontend and/or mobile development experience, proficiency with React Native, TypeScript, REST APIs, and familiarity with design systems and testing frameworks. | Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT 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: We are a 150+ 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. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! 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, and CNBC News. 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 $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 The Frontend & Mobile Engineer will strategize, design, and execute the user interface and experience for a mobile application used as part of our early wildfire detection stack. Responsibilities include collaborating closely with the product, design, and backend teams to align on the requirements, design, and rollout. We're looking for someone who’s naturally curious, excited to grow and help others grow, and who thrives in collaborative, people-centered environments. They will deliver thoroughly tested, accessible solutions while adhering to best practices and ensuring cross-device compatibility. What you’ll do Mobile App Development: Spearhead and lead the development of a mobile application to support our users in the field. Feature Development: Lead the development of new features, ensuring they align with project goals and enhance overall functionality. Code Maintenance: Maintain and enhance existing codebase to optimize extensibility and address evolving requirements. Code Review: Conduct thorough code reviews, providing constructive feedback to maintain code quality and adherence to best practices. Code Quality Advocate: Championing the creation of readable code with predictable patterns to enhance collaboration and maintainability. Prioritize code quality by emphasizing accessibility principles, incorporating security best practices, and writing testable code. Best Practices Evolution: Actively contribute to evolving coding standards and best practices within the development team. Technology Evaluation: Participate in evaluating new technologies and tools, ensuring the adoption of effective solutions that align with project needs. Tech Debt Prioritization: Collaborate in prioritizing and addressing technical debt to maintain a healthy and sustainable codebase. Legacy Application Management: Successfully navigate and contribute to our existing application, striking a balance between addressing technical debt and delivering new features. Expert Debugging Skills: Possess strong debugging capabilities to identify and resolve issues promptly, ensuring the stability and reliability of React applications. REST API Integration: Proficient in utilizing RESTful APIs to facilitate smooth communication between the frontend and backend of React applications. What you’ll bring 5-10 years of Frontend and/or Mobile Engineer Experience: Demonstrate a robust background in developing both Frontend and Mobile applications, showcasing proficiency and expertise in creating efficient and scalable solutions. Technical Proficiency: Experience with the following technologies HTML, CSS, Typescript, React, React Testing Library, React Native (or similar), Jest, and a state management solution like Redux or zustand (we use Recoil). Design System and Component Library Proficiency: Proven expertise in utilizing Design Systems like Material Design and component libraries such as Material-UI, showcasing efficiency and consistency in development processes. Effective Communication: Ability to communicate efficiently within the team, sharing insights and updates, and collaborating effectively to achieve project goals. Cross-functional Team Experience: Collaborate with cross-functional teams, including QA, Product, and Backend, to plan and execute project initiatives. Preference for someone in MST or PST time zone Nice-to-haves Experience with HTML Canvas Experience working with frontend monorepos Experience with Storybook Experience with mapping technologies like Mapbox Experience with fullstack development Hands-on experience with cloud platforms, such as GCP and AWS Final compensation for 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, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.

Provide desktop support for Mac and Windows devices, troubleshoot issues, manage device onboarding, and ensure security compliance. | 3+ years of IT support experience, proficiency with macOS, Windows, Google Workspace, Jira, Okta, and MDM systems, strong communication skills. | Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT 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: We are a 150+ 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. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! 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, and CNBC News. 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 $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/. Pano AI is looking for an experienced IT Contractor to lead desktop support operations and ensure a reliable, secure, and seamless technology experience for employees. This role focuses on delivering outstanding end-user support, maintaining device compliance, and keeping our IT environment running efficiently across a distributed workforce. Key Responsibilities Serve as the primary point of contact for all desktop support needs across Mac and Windows devices. Troubleshoot and resolve hardware, software, and connectivity issues quickly and effectively. Manage device onboarding, provisioning, and deprovisioning processes through MDM (e.g., JumpCloud). Maintain compliance with IT security standards — including patching, endpoint protection, and asset tracking. Coordinate with vendors and internal teams for escalations and system improvements. Document and continuously improve support processes to enhance efficiency and user satisfaction. Qualifications 3+ years of hands-on IT support experience, preferably in a SaaS or startup environment. Strong knowledge of macOS and Windows troubleshooting, Google Workspace, Jira, Okta, and MDM systems. Excellent communication and customer service skills; able to support a remote, fast-paced team. Familiarity with ISO 27001 or SOC 2 compliance requirements is a plus. Final compensation for 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, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.

Drive and manage hardware new product introduction and post ramp qualification efforts, coordinate cross-team schedules and communications, and support site installations. | Bachelor's degree, 2+ years in technical program management at a technology manufacturer, 4+ years project management experience, strong communication and organizational skills, and ability to work across dispersed teams. | Who we are The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, drier 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: We are a 130+ 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. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! 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, and CNBC News. 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 $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 Pano is searching for a Program Manager to support Hardware New Product Introduction (NPI) efforts and support the process of deploying Pano Stations for customers in the United States, Canada and Australia. You will be a true team leader, adaptable, self motivated and able to work in a highly active work environment. Reporting to the Manager of New Product Introduction, you will be a force multiplier for the team and responsible for enabling Pano’s NPI development efforts. This is an opportunity to gain hands-on experience in a successful, fast paced startup environment, all while working on a meaningful and urgent problem. What you'll do • Serve as the Technical Program Manager to drive and manage HW New Product Introduction (NPI) and Post Ramp Qual (PRQ) efforts for Pano, while supporting the larger program management team at Pano. • Drive and coordinate program management efforts to drive overall program schedules, develop and improve hardware product development processes. • Drive build readiness, coordinate test plan development and material readiness for NPI and PRQ builds. • Establish robust risk management processes, proactively manage internal and external escalations and provide timely and actionable program communications across the Pano organization to achieve on-time and on-quality execution of NPI and PRQ builds. • Partner with internal organizations including Engineering, Supply Chain, Field Operations, Sales, Program Management and Operations to align on key business terms and solidify implementation plans. • Drive efforts to coordinate and manage HW certification to qualify NPI efforts for deployment. • Develop and document best practices for developing new HW NPI programs and PRQ efforts. Own and drive program escalations across Pano internal and external teams and partners. • Identify operational pain points and improvement opportunities across internal and external processes and workflows and drive improvements across multiple teams and functions. • Support, drive and coordinate site installation activities to ensure the timely deployment of our camera installations. • Ability to travel domestically and internationally as needed (up to 20% at times). What you'll bring • Bachelor degree in Business or Technology required, Masters preferred. • 2+ years experience developing and shipping complex technical programs at a technology related manufacturer. • 4+ years of project management experience. • Strong working knowledge of Microsoft Office. • Extensive experience using project management software such as MS Project, Jira. • Proactive and highly self motivated; good critical thinking skills with strong attention to detail. • Strong analytical skills and ability to synthesize large amounts of information from multiple sources to draw conclusions. • Excellent written and verbal communications skills with ability to simplify and explain complex problems, with a willingness to challenge when necessary. • Superior organizational skills and time management abilities, with ability to juggle multiple projects and priorities at the same time. • Experience working as part of a geographically dispersed team, across multiple time zones. • Ability to work independently and with others. 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.

Develop and improve custom embedded Linux OS for edge wildfire detection devices, debug field issues, and enhance system uptime and reliability. | 7+ years software engineering, 2+ years Python, embedded Linux OS build/deploy experience, strong Linux fundamentals, Bash scripting, located in Pacific or Mountain time zone. | 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: 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. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! 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, and CNBC News. 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 $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: Want to build technology that helps stop wildfires? As a Senior Software Engineer, Embedded Linux at Pano, you'll develop critical systems that give first responders precious minutes when they matter most. You'll enhance our network of cloud-connected edge computers that serve as digital watchtowers across wilderness areas, working with our custom Linux OS to enable faster fire detection and response. This isn't just another software engineering role – you'll solve complex technical challenges while knowing that every improvement you make could mean the difference between a small containable fire and a major disaster. Working at the intersection of embedded Linux, IoT, and AI, you'll be part of a mission that's becoming increasingly critical in our changing climate. What you'll do • Continually improve on the existing custom Linux OS that runs Pano’s edge computers • Develop new features to enable faster and more accurate wildfire detections • Participate and drive critical decisions on adopting new tools and patterns to improve uptime and reliability • Ongoing debug and resolution of field issues What you'll bring • 7+ years of software engineering experience plus a BS in Computer Science or equivalent • 2+ years of experience programming in Python • Proficient in scripting with Bash • Experience with building, maintaining and deploying embedded Linux operating systems • Strong Linux fundamentals • Experience with an embedded system toolchain, like Yocto or Buildroot • Proven ability to troubleshoot and resolve technical issues in complex systems • Ability to communicate effectively within the team and across the organization while sharing insights and updates and collaborating to achieve project goals • Must be located in the Pacific or Mountain time zone Preferred Skills • Experience with Google Cloud • Experience working with cellular communications • Experience working with sensors like cameras • Experience with IoT networking 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. We offer comprehensive health insurance, paid time off, and 401k. 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.