Funded companies
Zibra Labs
Distributed Compute for AI
馃嚭馃嚫 San Francisco 路 B2B 路 Spring 2026
Distributed runtime for AI workloads at scale
Backed by
Y Combinator
Total tracked
-
Open roles
2
How to stand out for Zibra Labs
Talent Graph
Apply with your Role Readiness, not just a resume.
Role Readiness is a 0-100 score for your target role, built only from proof - certifications, cleared simulations, ranked projects. It shows a recruiter what you can actually do, in one link, before any interview.
Verified certifications Cleared simulations Ranked projects & GitHub
About Zibra Labs
We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Our mission is to bring frontier-grade infrastructure to everyone. We believe the bottleneck isn't just GPU availability, but effective utilization by the infrastructure software that runs on it. We're starting by building large scale high performance computing (HPC) clusters for quantitative trading firms to run parallel simulation workloads such as backtesting.
Our technology generalizes to critical AI workloads such as post-training with reinforcement learning, fine-tuning, long-horizon agents with high tool use, and batch inference.
Open roles
2 listed 路 tech, AI & dataTalent snapshot
Employee functions
Business Development2
Information Technology1
Employee locations
California, United States2
United States2
San Francisco Bay Area2
San Francisco, CA1
Fremont, CA1
Common skills
Distributed SystemsPython (Programming Language)JavaC++JavaScriptPHPHTMLC#LinuxBashC (Programming Language)SQL