Founding Engineer, Research

Cua is building the infrastructure that lets general AI agents safely and scalably use Computers and Apps like humans do. With 9k+ GitHub stars in just 4 months and a seed round closed, we’re providing: An open-source framework for building and evaluating general-purpose AI agents. A cloud container platform for sandboxed, scalable agent execution environments. A blueprint for what production-grade general agent systems should look like - backed by research. Cua is building infrastructure for safely and scalably running general AI agents on real computers and apps. With 9k+ GitHub stars in just 4 months and backing from Y Combinator, we’re advancing agentic AI from research to production. We’re hiring a Research Engineer to help develop and scale advanced multi-modal AI agents — working across model training, agent benchmarking, and real-world deployment. ⸻ WHAT YOU’LL DO You’ll sit at the intersection of applied research and engineering, helping us build, evaluate, and ship the next generation of generative agent systems. Example work includes: WHAT WE’RE LOOKING FOR LOGISTICS APPLY 🌐 trycua.com We’re committed to building a diverse, inclusive team — all backgrounds welcome. We're looking for different roles to help us push this vision forward - turning cutting-edge research prototypes into real, deployable systems. If you’re obsessed with developer tools, infrastructure, and making AI agents go from toy demos to robust, real-world tools - we want to talk.