Pano AI

Electrical Design Engineer

San Francisco, California · Senior · Full-time

Sponsorship not specifiedDetected 69 days ago
PythonSalesforceSupply ChainMechanical DesignElectrical EngineeringHardware DesignPower ElectronicsLoad Testing5G/LTECommunication

About the role

  • The Pano Station is a sophisticated integration of off-the-shelf hardware modules:
  • components, cameras, radios, power systems, sensors, and enclosure components-assembled into a system that must operate reliably, autonomously, and continuously for long term deployments on remote mountaintops in extreme weather conditions.
  • This role spans the full hardware development lifecycle.

Responsibilities

  • design integrations that respect those boundaries across power, thermal, signal, and mechanical interfaces
  • Bring up integrated assemblies, characterize behavior across operating conditions, and validate against system requirements
  • Lead hardware triage from first symptom to verified fix-across engineering builds, production runs, and field deployments
  • document findings in clear, structured reports

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or closely related engineering discipline
  • 5+ years of professional hardware engineering experience with ownership across multiple phases of the product development lifecycle
  • Demonstrated ability to debug and root-cause hardware issues at the system and integration level using standard lab equipment

Nice to have

  • Mechanical engineering experience/familiarity/willingness to learn (as a small startup, we all wear many hats)
  • Familiarity with reliability engineering concepts: derating, MTBF, environmental stress screening, HALT/HASS
  • Experience evaluating components for long-lifecycle or harsh-environment applications (industrial, outdoor, automotive, or similar)
  • Experience with cellular/LTE, Wi-Fi, or wireless module integration and RF-adjacent debugging
  • Experience working with contract manufacturers and supporting production yield improvement
  • Experience writing automated test or validation scripts in Python (or equivalent) to verify hardware behavior and stress integration points

Compensation

  • 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.

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.
  • Exposure to camera systems, ISP pipelines, or vision hardware
  • Specific benefit details will be shared during the interview process.

Company info

  • 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 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.
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