Pano AI Inc. logo

Staff Design Quality Engineer

Job Overview

Location

San Francisco, California

Job Type

Full-time

Category

Engineering

Date Posted

April 17, 2026

Full Job Description

đź“‹ Description

  • • Staff Design Quality Engineer at Pano AI Inc., a leader in early wildfire detection using AI, IoT, and satellite technology, dedicated to reducing response time and saving lives through faster fire detection and verification.
  • • Act as the independent quality and systems-risk steward across hardware, firmware, software, and AI subsystems, partnering with cross-functional teams to identify and mitigate system-level risks from concept to production.
  • • Lead system-level risk assessments (FMEAs/DFMEAs), define verification and validation strategies, and ensure traceability between risks, requirements, tests, and mitigations for camera systems and analytics.
  • • Drive risk-based decision making, prioritize mitigations under uncertainty, and document rationale for release decisions and residual risk to support safe and reliable field performance.
  • • Design and execute reliability and stress tests simulating real-world conditions (power/thermal cycling, network latency, OTA failures) and collaborate with AI teams to define telemetry for model performance monitoring.
  • • Mentor engineering teams on structured problem-solving (5-Whys, DMAIC) and quality best practices to scale processes across fast-evolving hardware/AI products.
  • • Contribute to a mission-driven culture at a growth-stage hybrid-remote startup backed by top VCs and recognized by TIME, MIT Tech Review, and Fast Company for innovation in climate tech and AI.

🎯 Requirements

  • • 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 combining hardware, firmware, and software (embedded + cloud + AI)
  • • Proven experience owning system-level risk artifacts (e.g., FMEAs) and applying risk-based decision making
  • • Hands-on experience planning and executing verification & validation strategies, including test method development and statistical techniques for acceptance criteria
  • • Excellent written and verbal communication skills to present technical findings to engineers and executive stakeholders

🏖️ Benefits

  • • Competitive base salary with stock options as part of total compensation
  • • Comprehensive medical, dental, and vision coverage
  • • Matching 401(k) retirement plan
  • • Flexible paid time off

Skills & Technologies

Python
Senior
Remote

Ready to Apply?

You will be redirected to an external site to apply.

Pano AI Inc. logo
Pano AI Inc.
Visit Website

About Pano AI Inc.

Pano AI is a technology company focused on revolutionizing the insurance industry through advanced aerial imagery and artificial intelligence. They provide high-resolution aerial imagery and AI-powered analytics to help insurers assess property damage more accurately and efficiently, particularly after natural disasters like hurricanes and wildfires. Their platform enables faster claims processing, improved risk assessment, and better underwriting decisions. By leveraging cutting-edge drone technology and machine learning, Pano AI aims to streamline the claims lifecycle, reduce operational costs for insurers, and provide a more transparent and responsive experience for policyholders.

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Newsletter

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.

Similar Opportunities

ARGENTINA
Full-time
Expires Jun 20, 2026
AWS
Apache Spark
Remote

1 day ago

Apply
ARGENTINA
Full-time
Expires Jun 20, 2026
AWS
Remote

1 day ago

Apply
ARGENTINA
Full-time
Expires Jun 20, 2026
Python
Scala
AWS
+5 more

1 day ago

Apply
ARGENTINA
Full-time
Expires Jun 20, 2026
AWS
Apache Spark
Remote
+1 more

1 day ago

Apply