Founding Software Engineer

Navi AI Inc.; San Francisco (CA); Sur place; USD 180 000 - 320 000; Plein temps

Avantages offerts par ce poste

Equity ownership

Flight training

Visible impact

Leadership path

Résumé du poste

Navi AI Inc. is seeking a founding engineer to own end-to-end systems—the backend, data pipelines, and interfaces used by pilots, instructors, and military operators. You will shape architecture and deploy production-ready solutions that ship to aviation partners and training environments.

You will lead critical design decisions, iterate rapidly on live feedback, and collaborate across hardware, AI/ML, and frontend teams to scale Navi's platform for real-world use.

Qualifications

• 5+ years of professional software engineering experience.
• Ability to lead projects end to end with minimal direction.
• Deep expertise in at least one core area (backend, infra, data, or full-stack).
• Experience designing scalable, reliable, and high-performance systems.
• Strong engineering judgment for build vs buy and scope tradeoffs.
• History of raising the bar through code reviews, mentorship, and best practices.
• Comfort with ambiguity and fast iteration while maintaining quality.
• Experience with modern data pipelines, real-time systems, or AI/ML integration.
• Built something from zero that people actually used.
• Experience with AWS, CI/CD, containerization, and modern deployment tooling.
• Translating operator needs into engineering decisions.

Responsabilités

• Build and scale the backend and data infrastructure powering Navi's AI platform.
• Collaborate with pilots, instructors, and military operators to create cockpit/classroom tools.
• Integrate flight dynamics, telemetry, and cockpit audio into debrief/training systems.
• Make architecture decisions that scale Navi's infrastructure and deployment.
• Ship code that goes live in aircraft and iterate on operator feedback.
• Interface with engineers across the stack from hardware to AI/ML to frontend.

Connaissances

Software engineering

End-to-end ownership

Backend systems

Distributed infrastructure

Data engineering

Full-stack development

System design

Engineering judgment

Mentorship

Ambiguity tolerance

Data pipelines

Real-time systems

AI/ML integration

Greenfield development

AWS

CI/CD

Containerization

Requirements gathering

Outils

AWS

CI/CD pipelines

Containerization

Description du poste

Navi captures everything a pilot sees and hears and turns it into automated debrief intelligence — sortie-level awareness that has never existed before. You're building the platform that makes that happen.

About the role

This is a founding engineering role. You'll own entire systems end to end — the backend and data pipelines that power Navi's AI, the interfaces instructors and squadron commanders depend on daily, the architecture decisions that take this company from startup to aviation standard. Your code ships to university flight schools and military squadrons. Nothing here is theoretical. Navi is live at Embry-Riddle, Purdue, UND, Sling Pilot Academy, and the United States Air Force.

What you'll do

• Build and scale the backend and data infrastructure that powers Navi's AI platform

• Work directly with pilots, instructors, and military operators to build tools that work in the cockpit and the classroom

• Integrate flight dynamics, telemetry, and cockpit audio into intelligent debrief and training systems

• Make the architecture calls that define how Navi scales — the frameworks, the infrastructure, and the technical bets

• Ship code that goes live in aircraft — then iterate on real operator feedback, not hypotheticals

• Interface with engineers across the entire stack from hardware integration to AI/ML to frontend.

About you

• 5+ years of professional software engineering experience, with a track record of designing, building, and operating complex systems in production

• Demonstrated ability to lead projects end to end — from scoping and technical design through implementation, launch, and iteration — with minimal direction

• Deep expertise in at least one core area (backend systems, distributed infrastructure, data engineering, or full-stack development) and working fluency across others

• Experience designing systems for scale, reliability, and performance — you've made meaningful architectural decisions and lived with the consequences

• Strong engineering judgment: you know when to build, when to buy, and when to cut scope. You make pragmatic tradeoffs under real constraints

• History of raising the bar for teams around you — through code reviews, technical mentorship, establishing best practices, or driving engineering culture

• Comfortable operating in ambiguity and moving fast without sacrificing quality. You've shipped in environments where the roadmap wasn't fully defined

• Experience with modern data pipelines, real-time systems, or AI/ML integration

• You've built something from zero — a product, a startup, a system that people actually used

• Experience with cloud infrastructure (AWS), CI/CD, containerization, and modern deployment tooling

• Comfortable working directly with non-technical users and translating operator needs into engineering decisions

Nice to have

• Familiarity with aviation systems, avionics data formats, or defense technology environments

Why this role matters

Pilots trust their lives to the systems in front of them. The intelligence platform we're building has to meet that same bar. As a founding engineer, your fingerprints will be on the architecture, the product, and the engineering culture at Navi.

What you'll get

• Early-stage equity — real ownership in a category-defining company

• Flight training — earn your pilot's license and build with true domain expertise

• Impact you can see — your work will be used by pilots, flight schools, airlines, and the U.S. Air Force

• A role that scales into technical leadership as we grow

How we work

• Find a way. 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. We'd rather have a creative solution that's 80% right today than a perfect one next quarter.

• Update fast. Come in with a hypothesis, throw it away when the data says otherwise. Ego has no place here.

• Intensity with focus. We work hard because the mission demands it. Clarity on what matters is how we make that sustainable.