About the role
Overview
Cua is building the infrastructure that enables general-purpose AI agents to safely and scalably use real computers and applications.
We're a small team backed by Y Combinator and top-tier investors, and our open-source tools are already used by thousands of developers. As a Founding Engineer, you’ll help turn research prototypes into production-ready infrastructure - powering everything from secure agent runtimes to cross-cloud container orchestration.
We’re looking for someone who brings deep technical ability, strong product instincts, and an eagerness to operate across layers - from OS-level virtualization to developer-facing APIs. You’ll work closely with the founding team on infrastructure design, developer tools, and open-source community building.
Your contributions will shape how autonomous agents interact with real computers at scale - across macOS, Windows and Linux - and how developers deploy and trust them in production environments.
Cua is for builders who care about reproducibility, system safety, and the developer experience of working with AI. If that sounds like you, we’d love to talk.
Responsibilities
- Design and scale infrastructure to run real AI agents on isolated macOS and Linux containers
- Build orchestration systems across cloud providers (AWS, GCP, etc.) for deploying ephemeral agent environments
- Create intuitive APIs and CLIs for developers to launch and control agents
- Contribute to the design of secure, reproducible agent runtimes using Docker, KVM, or similar technologies
- Work closely with early customers, open-source contributors, and the founding team to define roadmap and architecture
- Publish engineering updates, blog posts, and technical documentation to grow the ecosystem
