Full-Time
Full Stack Engineer
Navier AI
11-50 employees
Automates hardware design with AI agents
No salary listed
San Francisco, CA, USA
In Person
 Software Engineering (1) |
|---|
- 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
- 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
- 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
Navier AI builds an Agent-Driven Engineering (ADE) platform that automates hardware design and development workflows by using AI agents to bridge CAD and simulation tools. AI agents translate design intent into simulation-ready setups, run parallel tests, and provide automated reports, using computer vision and spatial reasoning to interpret 3D geometry. Unlike firms that replace existing software, Navier AI connects and coordinates existing CAD and engineering tools to speed iterations, targeting aerospace, automotive, and defense with usage-based pricing. Its goal is to shorten development cycles and catch design-validation misalignments early, enabling smaller teams to scale engineering throughput.
Company Size
11-50
Company Stage
Seed
Total Funding
$5.7M
Headquarters
San Francisco, California
Founded
2023
Simplify's Take
What believers are saying
- Raised $5.6M seed from Y Combinator, GV, HCVC in December 2025.
- Partners with Rescale for AI-accelerated CFD early access program.
- Targets aerospace, automotive with 28% PLM market and cloud growth.
What critics are saying
- Siemens NX AI agents automate CAD-simulation, eroding adapter niche within 6-12 months.
- Autodesk Fusion 360 generative design undercuts 1000x CFD claims in 12-18 months.
- Dassault 3DEXPERIENCE locks 61% 3D CAD users, blocking plugins in 9-15 months.
What makes Navier AI unique
- Navier AI's ADE platform automates CAD-to-simulation workflows using AI agents.
- Physics-ML solver delivers 1000x faster CFD simulations on OpenFOAM.
- Founded by SpaceX alumni Cameron Flannery and Evan Kay in 2023.
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Benefits
Company Equity
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -7%2 year growth
↑ 20%Y Combinator joins $5.6m round in US AI hardware startup Navier. Navier, a San Francisco-based startup developing AI-powered tools for hardware engineering teams, has raised US$5.6 million in seed funding and launched from stealth. The round included GV (Google Ventures), HCVC, and Y Combinator. Navier said the funding will help expand its platform, with a focus on aerospace and automotive sectors. Navier's platform uses AI agents to automate repetitive engineering workflows, aiming to increase productivity in hardware design and development. The company's approach builds on past shifts in engineering tools, such as CAD and simulation software. The company's team includes experts from SpaceX, Tesla, and Aurora. Food for thought. Proven tech adoption drives early customer traction. * Navier uses Neptune (Neptune.ai, an experiment-tracking platform for machine learning) while refining physics foundation models (large AI models trained on simulation and real-world physics data) with tens of millions of parameters 1. * They partner with Rescale (a cloud service that orchestrates High-Performance Computing (HPC) across clouds) to run AI models, with a joint early access program for engineering customers to try AI-accelerated Computational Fluid Dynamics (CFD) 2. * Automotive holds over 28% of global Product Lifecycle Management (PLM) deployments 3, while aerospace is a core market for CFD and simulation 2. * A Neptune case study sets a goal of simulation-quality predictions in seconds rather than days 1, matching the 1,000x faster claim 2, and hardware engineering teams deploy models to production 1. Third-party integrators can bridge CAD and PLM platforms for AI agents. * The Computer-Aided Design (CAD) and Product Lifecycle Management (PLM) market reached $31.1 billion in 2024 with the top 10 holding 84.8% share 4. This favors software adapters that link AI agents to design data systems targeting Dassault Systèmes, Autodesk, and Siemens. * Over 72% of large manufacturers use PLM software 3, while 36% face legacy integration hurdles 3, so connectors that link AI agents to CAD and PLM workflows deliver quick wins. * Cloud-based PLM rose 36%, and 38% of implementations run in the cloud 3. Application Programming Interface (API)-first integration suits specialist plugin builders without custom on-premise work. * 3D CAD makes up 61% of installations 5, and the CAD market could reach $24.69 billion by 2034 5. Back platforms that plug AI physics models into dominant design tools. How would you feel if you could no longer use Tech in Asia?
Navier, a startup building autonomous engineering teams for hardware design, has raised $5.6 million in seed funding from GV, HCVC and Y Combinator whilst emerging from stealth. The company has developed Agent-Driven Engineering, which uses AI agents to automate repetitive workflows between design and engineering disciplines. Built by former SpaceX, Tesla and Aurora experts, the platform leverages computer vision and spatial reasoning to interpret 3D geometry and align design concepts with engineering validation needs. Navier consolidates software licences, compute management and tools into a single platform, enabling teams to triple their output and compress development cycles from months to weeks. The funding will support platform development and expansion across aerospace and automotive sectors, where the technology represents the next productivity shift after CAD and simulation software.