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

Requirements

Must-haves

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
Strong proficiency in TypeScript and React
Experience building 3D interactive experiences with Three.js or similar frameworks
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

Nice-to-haves

Solid backend development experience in Python (FastAPI, Flask, or Django preferred)
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

Application prep

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Keywords to mirror

aigomltypescriptreactpythonapidockerawsgcpazure

Platform: greenhouse
Effort: quick