Systems Engineer, Infrastructure

About HUD

HUD (YC W25) is developing agentic evals for Computer Use Agents (CUAs) that browse the web. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs.

Our Mission: People don't actually know if AI agents are working. To make AI agents work in the real world, we need detailed evals for a huge range of tasks.

We're funded by Y Combinator and a16z, and work closely with frontier AI labs to provide agent evaluation infrastructure at scale.

About the role

We're looking for a systems/full-stack engineer to help build out the technical infrastructure that enables comprehensive CUA testing at scale.

Responsibilities

• Build out HUD's existing CUA evaluation framework

• Optimize our evaluation infrastructure at scale

Experience

Technical Skills

• Experience with AWS, Kubernetes, Docker, Redis, Linux, Python, PostgreSQL

• Systems design, performance security, CI/CD management experience preferred

You may be a good fit if you:

• Have hands-on experience with scalable infrastructure design and implementation

• Have contributed to large-scale system architecture projects

• Built reliable, high-performance distributed systems

• Worked with containerized applications and orchestration platforms

Strong candidates may have:

• Startup experience in early-stage technology companies with ability to work independently in fast-paced environments

• Strong communication skills for remote collaboration across time zones

• Familiarity with current AI tools and LLM capabilities

• Understanding of LLM evaluation frameworks and methodologies

• Evidence of rapid learning and adaptability in technical environments

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

Team & Company Details

• Team Size: ~5-10 people currently, looking to hire 2-3 additional people (though we judge case-by-case - could be zero or a lot more depending on candidates).

• Our team: Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS etc.

Logistics

• Employment: Fulltime.

• Location: Remote-friendly, but if you’re in the SF Bay Area, we do have an office you can work together in. We do prefer applicants who can show up to meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00).

• Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates.

• Timeline: Applications are rolling. The process should involve 1-2 interviews and take less than a week.