ComfyUI Tech Stack

Node-based UI for AI image generation and inference workflows

Software Development San Francisco 11–50 employees Founded 2024 Privately Held

ComfyUI operates a modular, open-source platform for orchestrating AI inference pipelines—built on PyTorch and deployed across Kubernetes, GCP, AWS, and Azure. The engineering-heavy org (10+ engineers, mostly senior/lead level) is actively scaling inference optimization and GPU scheduling algorithms while managing explosive community adoption; simultaneous hiring across design, product, and marketing signals a shift from pure infrastructure toward productizing the platform and monetizing community contributions.

Tech Stack 36 technologies

Core StackPyTorch Python Go Kubernetes PostgreSQL Helm TypeScript Vue React Svelte GitHub Terraform AWS Nomad Prometheus Datadog Loki Linux Figma Discord Solid GCP Azure Flux Electron conda pip Windows macOS Canvas+3 more

What ComfyUI Is Building

◆Challenges

Scaling community engagement
Scaling and optimization problems
Support explosive growth
Engaging oss community
Scaling marketing systems
Building hiring engine from scratch
Scaling hiring process
Infrastructure automation and optimization
Ci/cd and automated testing process
Frontend performance bottlenecks

▲Active Projects

Core frontend architecture of new products
New product launches
Core inference engine optimization
Design system translation
Marketing initiatives to amplify comfyui
User interviews and usability testing
Deploy comfyui’s diverse custom nodes written by the open source community in a secure and maintainable way
Write algorithms to schedule a diverse and heterogenous set of workflows on gpu nodes, optimizing for both latency and throughput
Build a notification system from scratch in one week
Custom node development

Hiring Activity

Steady20 roles · 8 in 30d

Department

Engineering

Marketing

Design

Ops

Product

Sales

Seniority

Senior

Mid

Manager

Director

Lead

Notable leadership hires: Creative Director

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About ComfyUI

ComfyUI is a node-graph-based interface for building and executing AI inference workflows, primarily in image generation. The company was founded in 2024 and operates from San Francisco with 11–50 employees. The technical foundation spans PyTorch backends, Kubernetes orchestration, and multi-cloud deployment (GCP, AWS, Azure). Core work includes inference engine optimization, GPU scheduling for heterogeneous workloads, and a design system to support new product launches. A significant part of the roadmap focuses on securing and deploying custom nodes contributed by an active open-source community.

HeadquartersSan Francisco

Company Size11–50 employees

Founded2024

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does ComfyUI use?

PyTorch, Python, Go, Kubernetes, PostgreSQL, React, Vue, TypeScript, Terraform, GCP, AWS, Azure, GitHub, and infrastructure tools like Prometheus, Datadog, and Loki.

What is ComfyUI working on?

Core inference engine optimization, GPU scheduling for diverse workflows, deploying community-contributed custom nodes securely, frontend architecture for new products, and a design system to support scaling.