---
title: 'Full Stack Engineer at Navier AI'
canonical: 'https://feeny.ai/job/full-stack-engineer-navier-ai-san-francisco-5mehzsq8ed3t'
type: 'job'
last_seen: '2026-09-11'
---

# Full Stack Engineer at Navier AI

- **Company:** Navier AI
- **Location:** San Francisco, CA
- **Posted:** 2025-05-13
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/navierai/jobs/4684292008

## Job description

## About Navier AI

Navier AI is building the first autonomous engineering agents. AI systems that can design, simulate, and optimize complex products to achieve breakthrough levels of performance. Our mission is to enable engineers to move beyond today’s slow, manual design cycles by providing agents that reason about physics, explore design trade-offs, and generate high-performance solutions across aerospace, automotive, and advanced manufacturing.

We’re backed by top-tier investors and work directly with industry leaders to deploy AI-native tools that go far beyond today’s design automation.

## Role Overview

We’re hiring a Full Stack Engineer to build the interactive interfaces and backend services that power our autonomous engineering agents. You’ll be responsible for creating seamless user experiences that let engineers visualize complex geometry, interact with AI agents, and manage design workflows—all while collaborating closely with ML, backend, and simulation teams.

## Responsibilities

- Build interactive web applications using TypeScript, React, and Three.js to visualize CAD models, simulation results, and agent outputs
- Develop backend services in Python to power workflows, handle model inference requests, and manage user data
- Design intuitive UIs and workflows that make AI-powered engineering agents accessible and useful to domain experts
- Implement real-time rendering and 3D visualization pipelines for CAD, meshes, and simulation outputs
- Collaborate with ML and backend engineers to connect front-end tools with AI models and simulation infrastructure
- Ensure application performance and scalability through robust state management, API design, and efficient data handling
- Participate in architecture discussions and help define best practices for frontend + backend integration
- Own features end-to-end, from design to deployment, in a fast-paced startup environment

## Qualifications

Required

- Strong proficiency in TypeScript and React
- Experience building 3D interactive experiences with Three.js or similar frameworks
- Solid backend development experience in Python (FastAPI, Flask, or Django preferred)
- Familiarity with API design, authentication, and data handling best practices
- Ability to work across the stack and own features from frontend to backend
- Comfort working with scientific/engineering data formats (e.g., meshes, STL, point clouds)
- Strong product intuition and ability to collaborate closely with designers and engineers

Bonus

- Experience with CAD visualization, computational geometry, or simulation tools
- Knowledge of WebGL or shader programming (GLSL, WGSL)
- Experience integrating ML model inference into production apps
- Familiarity with containerization (Docker) and cloud deployment (AWS, GCP, or Azure)
- Prior work in engineering-focused or scientific software companies

## Why This Role Matters

The interfaces you build will be the primary way engineers interact with Navier’s autonomous agents. You’ll shape how complex geometry, simulation results, and AI-driven design decisions are visualized and explored. Your work will directly impact the usability, adoption, and trustworthiness of a category-defining product.

## What We Offer

- Competitive compensation, including salary and equity
- Direct exposure to high-impact technical problems in aerospace, automotive, and advanced manufacturing
- Opportunity to help define a new category of engineering software

## About Navier AI

## Company Overview
- **One-liner**: Navier AI builds an Agent-Driven Engineering platform that uses AI agents to automate complex simulation workflows, enabling engineering teams to run CFD simulations at scale.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Cameron Flannery (CEO, Co-Founder), Evan Kay (Co-Founder)

## Core Business
- **Primary Industry**: AI-powered engineering simulation software (Computational Fluid Dynamics / Agent-Driven Engineering)
- **Target Customers**: B2B; engineering teams in aerospace, automotive, and other hardware-intensive industries; companies that need to run complex CFD simulations at scale.
- **Mission**: To enable engineers to focus on designing great products by automating the tedious, time-consuming steps of simulation—from geometry cleanup and meshing to solver configuration and cloud resource management.

## Products & Services
- **Agent-Driven Engineering (ADE) Platform**: A web-based SaaS platform built on OpenFOAM (the industry-standard CFD solver) that uses AI agents to autonomously handle the end-to-end simulation workflow. The agents leverage computer vision and spatial reasoning (built on technology from autonomous vehicle development) to interpret 3D geometry, set up cases, manage cloud compute, and generate reports. The platform is available as both a cloud-native and local application.

## Market Standing
- **Valuation/Market Cap**: Not publicly available.
- **Key Metric**: Total funding of **$6.1M** (latest round: $5.6M Seed announced in December 2025).
- **Notable Investors/Partners**: Y Combinator (Winter 2024 batch), GV (Google Ventures), HCVC, Innovation Endeavors, Soma Capital, and others. Partnered with **Rescale** to accelerate computational engineering with AI physics.
- **Growth Signals**: Headcount grew **+57.1% YoY** to 8 employees. LinkedIn followers grew **+178.8% over the past year** (3,356 followers). The company has a presence in the US (HQ), Canada, and France. The founders are alumni of SpaceX, Tesla, Aurora, General Atomics, and other top engineering firms, lending strong credibility.

## Competitive Advantages
- **Founder-Market Fit**: Founders Cameron Flannery and Evan Kay are aerospace engineers with direct experience building rocket engines, satellites, autonomous trucks, and hydrofoiling ships at SpaceX, Tesla, and Aurora. Their deep domain expertise is a core differentiator.
- **Proprietary AI Technology**: The agents are built on proven autonomous vehicle technology (computer vision, spatial reasoning), giving them a unique ability to interpret complex 3D geometry and automate cross-disciplinary translation between design and engineering.
- **Consolidated Platform**: Unlike the current patchwork of separate software licenses, compute management, and manual coordination, Navier offers a single platform combining AI agents, compute infrastructure, and tool integration.
- **Productivity Claim**: The company states its platform enables teams to "triple their output" by automating repetitive tasks, compressing development cycles from months to weeks.

## Strategic Focus
- **Platform Development & Expansion**: The $5.6M seed round is being used to develop the platform further and expand its customer base, specifically targeting aerospace and automotive companies.
- **Democratizing Engineering**: The company aims to make advanced simulation tools accessible to teams of any size, not just large engineering departments, by reducing the overhead of running simulations.

## Why Work Here
- **High-Impact Engineering Culture**: The company is building the "first Agent-Driven Engineering platform" and is at the forefront of a third major productivity shift in engineering (after CAD and simulation). Employees will work on hard technical problems involving AI, 3D geometry, cloud infrastructure, and physics simulation.
- **Founding Team Pedigree**: Working alongside founders who have built hardware and software at SpaceX, Tesla, and other top-tier companies offers a steep learning curve and exposure to best-in-class engineering practices.
- **Remote/Hybrid/Office Policy**: The company is headquartered in San Francisco, CA (with an office at 71 Stevenson Street). Job postings for Backend Engineer and Full Stack Engineer list San Francisco as the location, suggesting an in-office or hybrid model for engineering roles.
- **Notable Perks & Culture**: The company's stated mission is to let engineers focus on "high-value engineering decisions" rather than repetitive tasks. The culture is likely fast-paced, autonomous, and deeply technical, typical of a well-funded Y Combinator startup. The team is small (~8 people), offering significant ownership and impact.

## Sources
1. [navier.ai](https://www.navier.ai/)
2. [Greenhouse - Navier AI Jobs](http://job-boards.greenhouse.io/navierai)
3. [LinkedIn - Navier AI](https://www.linkedin.com/company/navier-ai)
4. [Y Combinator - Navier AI](https://www.ycombinator.com/companies/navier-ai)
5. [CB Insights - Navier AI](https://www.cbinsights.com/company/navier-ai)
6. [Business Wire - Navier Raises $5.6M](https://www.businesswire.com/news/home/20251216257498/en/Navier-Raises-5.6M-to-Deploy-Agent-Driven-Engineering-the-Next-Engineering-Unlock-After-CAD-and-Simulation)

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