Navi AI
Founding Hardware Engineer
San Francisco
Sponsorship not specifiedDetected 118 days ago
PythonC++Node.jsLinuxMachine LearningData EngineeringPCB DesignEmbedded SystemsAvionicsSystems EngineeringHardware DesignSignal ProcessingLeadershipCommunication
About the role
- This is Version 2 of the Wave, and you are the definitive technical voice for every decision that shapes it.
- The device has to survive cockpit environments - heat, vibration, RF noise - while continuously streaming high-bandwidth audio and telemetry over wireless networks without dropping a frame.
- It has to be deployable across hundreds of aircraft and manageable as a fleet.
Responsibilities
- Lead the end-to-end technical design of Navi's next-generation edge compute node - architecture, component selection, PCB layout, and mechanical enclosure
- Build hardware that is ruggedized for cockpit environments - thermal, vibrational, and environmental stress - and optimized for continuous wireless data transmission
- Own the hardware validation lifecycle - 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 - real-time operating systems, on-device compute, and fleet-wide OTA update infrastructure
- Collaborate with software and ML engineers to ensure the hardware captures exactly what the intelligence layer needs to generate automated debriefs
- Deep understanding of electronics design - PCB schematics, microcontrollers, wireless communication modules (cellular, Wi-Fi, Bluetooth)
- Experience collaborating with industrial or mechanical designers to build ruggedized enclosures that survive challenging thermal, vibrational, and environmental conditions
- Familiarity with edge-to-cloud architecture, device fleet management, and building scalable live data infrastructure
- You own projects end to end in ambiguous, fast-moving environments - and you ship
- Flight training - earn your pilot's license and build with true domain expertise
Requirements
- 7+ years of experience in systems engineering, embedded edge compute, or connected hardware development - with a track record of bringing a complex device to market, not just prototyping one
- Strong proficiency in embedded C/C++ or Python for edge applications, with experience running RTOS or embedded Linux
Nice to have
- Experience with edge processing and lossless streaming of high-bandwidth data - real-time audio, complex signal processing, or continuous telemetry
- Familiarity with avionics data formats, cockpit audio systems, or aircraft electrical environments
- A role that scales into hardware leadership as we grow
- We don't wait for permission or perfect information.
- Ideas come from anywhere regardless of title.
- Figure it out, ship it, iterate.
- Creativity over control.
- First principles over process.
Skills
- Navi captures everything a pilot sees and hears.
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This listing is sourced directly from Navi AI's careers page and normalized into a canonical job model.