---
title: 'Founding Software Engineer at Navi AI'
canonical: 'https://feeny.ai/job/founding-software-engineer-navi-ai-san-francisco-akpvm8bmqk5e'
type: 'job'
last_seen: '2026-09-08'
---

# Founding Software Engineer at Navi AI

- **Company:** Navi AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-10-27
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/navi/cc6d60fb-bff3-42bf-90ac-7c00f4cee87c

## Job description

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, 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.

## About Navi AI

## Company Overview
- **One-liner**: Navi AI builds the first purpose-built generative AI platform for aviation, providing an AI co-pilot for pilot training that turns every aircraft into a data source to deliver automated, data-driven flight debriefs and safety intelligence.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, USA (also has an office in Bengaluru, India)
- **Founded**: 2024
- **Founders**: Nikola Kostic (CEO) and Vivek Velivela (CTO)

## Core Business
- **Primary Industry**: Aviation Technology / Aerospace / Defense / Artificial Intelligence
- **Target Customers**: B2B — flight schools (Part 141), universities (aerospace programs), and military/defense organizations (U.S. Air Force Test Pilot School).
- **Mission/Purpose Statement**: To make aviation safety proactive — starting in training. Navi gives every pilot and squadron the intelligence edge they deserve.

## Products & Services
- **Navi AI Platform**: An AI-driven platform that ingests cockpit audio, aircraft telemetry, and environmental data (weather, traffic, aircraft history) to generate moment-by-moment, automated flight debriefs. It provides 40–50 key insights per flight through text, visuals, and animations. The platform is grounded in the flight school’s syllabus, POH, PHAK, and FAA regulations.
- **AI Debrief Assistant**: A context-aware conversational AI that trainee pilots can query about their performance, referencing their own flight data, standard operating procedures, and FAA regulations.
- **Automated Maneuver Analysis**: Analyzes intent, behavior, and performance for every maneuver during a flight, aligning outputs to the specific lesson or maneuver being taught.
- **Full Sortie Replay**: Provides a phase-by-phase breakdown of every training flight from engine start to shutdown.
- **Institutional Analytics (FOQA+)**: Goes beyond traditional FOQA by combining flight data with instructor interactions, environmental data, and procedural context, giving flight academies real-time visibility into trainee progression, trend analysis, and early safety pattern detection.

## Market Standing
- **Valuation**: Not publicly available (seed-stage company).
- **Key Metric – Total Funding**: $6.7 million raised to date.
- **Notable Investors/Partners**:
    - **United Airlines Ventures** (strategic investor)
    - **BVVC** (lead investor)
    - **New Vista Capital**
    - **Raptor Group**
    - **I2BF**
    - **U.S. Department of War** ($1.27M SBIR Phase II grant)
    - **Embry-Riddle Aeronautical University** (strategic partner and equity stakeholder)
    - **Garmin** (technology partnership, integrated with their avionics ecosystem)
- **Growth Signals**:
    - Launched from stealth in March 2026 with $6.7M in funding.
    - First commercial deployment in September 2024 with Sling Pilot Academy; now logging 55,000+ flight hours annually at Sling.
    - Platform deployed or under evaluation at leading flight schools: Embry-Riddle Aeronautical University, University of North Dakota, Purdue University, Utah State University, Delta State University, and the U.S. Air Force Test Pilot School.
    - Plans to hire 15 additional employees in 2026 (currently 7 employees), aggressively scaling the team.
    - Has a $1.27M SBIR Phase II contract from the U.S. Department of War to adapt its platform for the T-38 fleet at Edwards AFB.

## Competitive Advantages
- **First-Mover in AI-Powered Debriefing**: No other company offers a purpose-built, commercially operational generative AI platform specifically for pilot training that automates post-flight analysis.
- **Domain-Specific LLM**: Trained on 100,000+ real flight hours, analyzing intent, behavior, and performance — not just generic AI.
- **Deep Institutional Partnerships**: Already embedded in the world's largest aerospace university (Embry-Riddle) and working with the U.S. Air Force Test Pilot School, providing credibility and a strong go-to-market signal.
- **Strategic Backing**: Backed by United Airlines Ventures (a direct channel to commercial aviation) and the U.S. Department of War, giving it a dual commercial and defense pathway.
- **Real-World Traction**: 55,000+ flight hours annually processed at Sling Pilot Academy, proving the product works at scale in a live training environment.

## Strategic Focus
- **Near-term**: Dominate the U.S. pilot training market by equipping every training aircraft with the Navi platform.
- **Medium-term**: Expand into commercial aviation, applying the same real-time analysis and performance intelligence to airline operations.
- **Defense**: Adapt and scale the platform for military use (U.S. Air Force), starting with the Test Pilot School and the T-38 fleet.
- **Product**: Continue to deepen the integration with Garmin avionics and expand the platform's ability to ingest more data sources.

## Why Work Here
- **High-Impact Mission**: Work directly on making aviation safer, with a tangible product already in use by pilots and the military. The company culture emphasizes building for a critical national need ("Your country needs you").
- **Early-Stage, High-Growth**: With only 7 employees and a plan to hire 15 more, this is a true seed-stage startup where new hires will define the product, culture, and engineering practices from the ground up.
- **Engineering-Centric**: The open roles (Founding Software Engineer, ML/AI Founding Engineer, Founding Hardware Engineer, Deployment Engineer) indicate a deep focus on core product engineering and infrastructure.
- **On-Site / Hybrid**: San Francisco headquarters is primarily in-office; Bengaluru office also exists. The company favors on-site work for its core team.
- **Fast-Paced Culture**: The careers page signals an expectation of high agency: "if ten things a day sounds like a slow Tuesday - we need you."
- **Interesting Tech Stack**: Working with cockpit telemetry, audio, domain-specific LLMs, avionics integration (Garmin), and real-time data pipelines — a mix of hardware, software, and AI.
- **Founding Team Access**: Opportunity to work directly with the co-founders (Nikola Kostic, CEO; Vivek Velivela, CTO) and shape the company's technical direction.

## Sources
1. [flynavi.com](https://www.flynavi.com/)
2. [flynavi.com/careers](https://www.flynavi.com/careers)
3. [builtin.com](https://builtin.com/company/navi-ai)
4. [flynavi.com/newsroom](https://www.flynavi.com/newsroom)
5. [prnewswire.com](https://www.prnewswire.com/news-releases/navi-ai-emerges-from-stealth-to-accelerate-pilot-training-with-ai-302724509.html)
6. [jobs.ashbyhq.com/navi](https://jobs.ashbyhq.com/navi)

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