Company facts
- Founded
- 2025
- Employees
- 15
- Headquarters
- United States
- Type
- Private
About
HUD (YC W25) is developing agentic evals and RL environments for Computer Use Agents (CUAs) that browse the web for frontier AI labs. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. People don't actually know if AI agents are working reliably. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.
Senior Research Infrastructure Engineer
Builds and owns the infrastructure, tools, and pipelines behind HUD's AI-agent research — reliable environment execution, trajectory collection, and large-scale model evaluation. Day to day is Python backend/infra work on cloud with Docker and Linux, partnering closely with researchers.
Senior Software Engineer, Reinforcement Learning
Full-stack engineer building product surfaces, backend services, and internal tools for HUD's RL training data and evals platform, using Python, React/TypeScript, and cloud infrastructure.
Platform Engineer
About HUD HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by…
Research Engineer (General)
About HUD HUD's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly…
Senior Software Engineer Runtime Internals
About the Role We’re building a runtime code sensor that operates where most tools don’t: inside running applications. Our goal is to give engineers and AI agents real-time, high-fidelity visibility into how code…