Software Engineer, Web Platform
Build core infrastructure for translating between design models, HTML/JSX, and AI representations at Figma's Code Platform. Requires 5+ years experience with TypeScript/JavaScript, React, and performance optimization.
Lead AI product engineering for Figma's design platform, building generative AI systems from ideation to production. Requires 5+ years software engineering with 1+ years in generative AI, plus experience in full AI lifecycle and cross-functional collaboration.
Annual Base Salary Range: $149,000 — $350,000 USD (San Francisco or New York hubs; remote roles localized 80-100% of range). Includes equity, health benefits, retirement, parental leave, PTO, and more.
Build core infrastructure for translating between design models, HTML/JSX, and AI representations at Figma's Code Platform. Requires 5+ years experience with TypeScript/JavaScript, React, and performance optimization.
Full-stack engineers build and scale collaborative design products across front-end and back-end, owning end-to-end projects with cross-functional teams. Requires proven experience shipping production applications and proficiency in modern frameworks like React/TypeScript and back-end languages.
Build and optimize media processing features (image/video import/export, playback, codecs) in Figma's browser-based C++/WebAssembly rendering engine. Requires 5+ years specializing in video/image rendering with C++, TypeScript, GLSL.
Build and ship a live deployment knowledge graph and agentic software systems that automate AI supercomputer site bring-up, contractor workflows, QA inspections, and as-builts. Forward-deploy alongside field engineers on live construction sites to turn their domain expertise into structured, queryable data models and autonomous planning tools. Requires production experience with Go/Python/TypeScript, LLM APIs, and agentic coding tools.
Build software systems to automate commissioning of AI data center infrastructure. Generate test procedures, schedules, and automated L4/L5 execution from a live knowledge graph; integrate with BMS/EPMS and ship agentic LLM tools to commissioning engineers on factory floors and live sites. Requires production coding in Go/Python/TS, LLM/agent frameworks, and field credibility with controls experts.