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Navi AI

Generative AI platform for pilot training

Hardware Engineer - Electrical

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 7 years of experience in systems engineering, embedded edge compute, or connected hardware development, including a track record of bringing a complex device to market rather than only prototyping one.
  • Deep understanding of electronics design, including printed circuit board schematics, microcontrollers, and wireless communication modules such as cellular, Wi-Fi, and Bluetooth.
  • Experience collaborating with industrial or mechanical designers to build ruggedized enclosures that withstand challenging thermal, vibrational, and environmental conditions.
  • Strong proficiency in embedded C/C++ or Python for edge applications, with experience running a real-time operating system or embedded Linux.
  • Familiarity with edge-to-cloud architecture, device fleet management, and scalable live data infrastructure.
  • Hands-on experience navigating rigorous hardware certification processes and environmental testing standards.
  • Ability to own projects end to end in ambiguous, fast-moving environments and deliver shipped products.

Responsibilities

  • Lead the end-to-end technical design of Navi's next-generation edge compute node, including architecture, component selection, printed circuit board layout, and mechanical enclosure.
  • Build hardware ruggedized for cockpit environments, handling thermal, vibrational, and environmental stress while supporting continuous wireless data transmission.
  • Architect real-time data pipelines to process and stream high-fidelity audio and complex telemetry from the edge to the cloud with minimal latency.
  • Own the hardware validation lifecycle, including environmental testing, quality assurance, and securing regulatory and industry-specific certifications for hardware operating in aircraft.
  • Develop and oversee embedded firmware and edge processing logic, including real-time operating systems, on-device compute, and fleet-wide over-the-air update infrastructure.
  • Guide the architecture of live cloud-based telemetry dashboards to support seamless data ingestion and real-time visibility from deployed devices.
  • Collaborate with software and machine learning engineers to ensure the hardware captures the data needed to generate automated debriefs.

Desired Qualifications

  • Experience with edge processing and lossless streaming of high-bandwidth data, such as real-time audio, complex signal processing, or continuous telemetry.
  • Background building hardware for aviation, defense, or other safety-critical regulated industries.
  • Familiarity with avionics data formats, cockpit audio systems, or aircraft electrical environments.

About the Company

Navi AI

Generative AI platform for pilot training

Navi AI provides a generative AI platform for pilot training that turns each flight into a data-rich learning session by analyzing telemetry, cockpit audio, weather, training materials, and aircraft history to produce a detailed debrief. It does not fly the aircraft but delivers actionable insights to trainees and instructors through structured debriefs and a context-aware AI assistant that can answer questions and teach according to FAA rules. For flight schools, Bastion offers analytics on instructor performance, safety insights, fleet utilization, and training progress, giving real-time visibility into fleet activity and program QA. The company aims to improve training efficiency and safety by turning flight data into learning insights, with partnerships like Sling Pilot Academy and a DoD grant to extend the technology to the U.S. Air Force’s T-38 fleet.

Company size
1-10
Company stage
Early VC
Total funding
$8M
Headquarters
San Francisco, CA
Founded
2024

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