Senior Software Engineer, Design
About the role
HUD is building reliable, fair and open infrastructure for AI data. The Senior Software Engineer, Design will design and build interfaces across HUD’s platform and marketplace to help users create/evaluate environments, understand agent behavior, and improve training data, while maintaining high usability and visual quality.
Responsibilities
- Design and build interfaces across HUD’s platform and marketplace, from early concepts through shipped product
- Make agent runs, evaluation results, reward signals, and quality feedback understandable and actionable
- Work with research and engineering to turn complex RL and evaluation workflows into useful tools
- Talk with users, observe where they struggle, and use what you learn to improve the product
- Develop thoughtful interaction patterns and maintain a high bar for usability, visual quality, and implementation
Qualifications
- Strong product and interaction design judgment, especially for complex tools or workflows
- Front-end engineering skills and the ability to turn designs into working product interfaces
- A record of shipping products, learning from users, and improving what you built
- Ability to understand technical concepts well enough to present them clearly to users
- Good judgment about when to ship quickly and when an experience needs more care
- Clear communication and comfort working closely with engineers, researchers, and users
Skills
Benefits
- Competitive compensation
- 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)
- Lunch and dinner for in-office employees
- Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
- Equinox membership, 401k, commuter benefits (US employees) and health/wellness stipend (Singapore)
- Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
- Two top-floor offices in San Francisco and Singapore
- Annual travel budget to visit either office

About hud
Platform for building RL environments and evals
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.
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