HUD
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 backed by Y Combinator, 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.
Due to high volume, we may not actively respond to every application, but feel free to contact us at
recruiting@hud.so
or elsewhere if we missed your application!
#J-18808-Ljbffr
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 backed by Y Combinator, 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.
Due to high volume, we may not actively respond to every application, but feel free to contact us at
recruiting@hud.so
or elsewhere if we missed your application!
#J-18808-Ljbffr