Latest Funding
Series B
Amount Raised
$30M
Valuation
$500M
Location
San Francisco
Base Salary
$150k -
$350k
Equity
Competitive
Building the OS for creative AI in visual & audio media. 100k+ GitHub stars.
Customers include Netflix, Amazon Studios, Ubisoft, EA and artists & filmmakers in LA.
Raised $30M from top tier VCs and founders like Guillermo Rauch (Vercel CEO)
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The Role
We’re looking for someone who loves optimizing model inference to join us in building the core of ComfyUI - the most complex and bleeding-edge part of our engine. You’ll be working on making AI models run faster and more efficiently than anyone thought possible.
You are a good fit if this describes you:
- You geek out about model inference, torch optimizations, and memory management
- You’ve written production PyTorch code that pushes performance boundaries
- You love diving deep into how models actually work under the hood
- You get excited about making insanely optimized code that just works
- You think the current state of ML deployment could be way better
What you’ll do:
- Build and optimize the core inference engine that powers ComfyUI
- Make massive models run faster and use less memory than anyone else
- Work directly with our core team on architecting new features
- Tackle the hardest technical problems in the visual AI space
- Help shape where we take this technology next
Bonus: If you’ve worked with diffusion/LLM models before or built custom nodes for ComfyUI, that’s awesome