Senior Software Engineer, Backend Generalist

Comfy
San FranciscoPosted 26 March 2026

Job Description

Senior Software Engineer, Backend Generalist THE ROLE You’ll lead critical backend initiatives for the millions of creatives using ComfyUI, building systems that run millions of AI workflows. This means building rock solid distributed systems, designing data models that support explosive growth, and solving difficult scaling and optimization problems. You will make code changes across open source ComfyUI and Comfy Cloud. Our stack is Python, Go, Kubernetes, and Postgres on the backend, but we care way more about your ability to learn and ship than whether you've used these exact languages before. You might be a good fit if - You enjoy having high levels of ownership to ship high quality features - You habitually invent novel solutions to solve hard problems - You've build a great product before, and care about the user experience as much as the engineering behind it - You have a strong understanding of distributed systems and scaled large systems before What you'll do - Work with a cross-functional team to quickly ship features, often going from idea to production in days not weeks - Ship features that directly impact millions of ComfyUI users - Help shape our technical direction as we grow Sample Projects - 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 Nice to have - Are not afraid to deep dive into infrastructure (Kubernetes / Helm) to get things done If you don't know every piece of our stack, that's fine - we care about your ability to learn fast and ship quality code. We're outpacing the industry by learning what we need to solve problems, not by sticking to what we already know. WHAT IS COMFYUI? ComfyUI https://www.comfy.org is the world’s leading visual AI platform — an open, modular system where anyone can build, customize, and automate AI workflows with precision and full control. Unlike most AI tools that hide their inner workings behind a simple prompt box, ComfyUI gives professionals the freedom to design their own pipelines — connecting models, tools, and logic visually like building blocks. It’s used by artists, filmmakers, video game creators, designers, researchers, VFX houses, and among others, teams at OpenAI, Netflix, Amazon Studios, Ubisoft, EA, and Tencent — all who want to go beyond presets and truly shape how AI creates. ComfyUI empowers those who were not trained with the power of the brush to also be a painter, and those who are, to be a maestro. - Built for users who value transparency and control Infinitely extensible — thousands of community-made nodes and integrations - Scales from creative experimentation to production automation - Open-source, used by millions, and backed by one of the most active AI communities online - Evolving to democratize visual AI creation: empowering everyone from hobbyists to studios, storytellers, and enterprises to be more productive and creative than ever before ComfyUI isn’t just another AI app. It’s aiming to become the operating system for visual generative AI , the foundation on which the next generation of creative tools are being built. An creative’s show case of how Comfy is adopted in their work ABOUT US We are a small, intense, and well-funded team in San Francisco who push ComfyUI and its ecosystem forward. Our team comes from Stability AI and Google and many contributed to the ComfyUI ecosystem way before working here. Our organization is flat and there is no hierarchy, only categories: dev, arts, prod, ops, etc (and no, there is no one here with the title of Member of Technical Staff, it’s long and silly for a job title). The only thing that matters is the quality of your cultural fit and execution. We work hard and demand a lot of each other. But we have fun: everyone is here to ... (truncated, view full listing at source)
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