Systems Engineer, Infrastructure
SupportFinitySan Francisco, CA, United States6 days ago
Job type
- Full-time
- Part-time
Job descriptionExperience with AWS, Kubernetes, Docker, Redis, Linux, Python, PostgreSQL Systems design, performance security, CI / CD management experience preferred 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 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 Team Size : ~15 people currently, mostly full-time in-person, but some remote. Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc. Company stage : We have received $2 million in seed funding, plus strong demand and revenue growth. We are scaling profitably and fast to meet demand. Employment : Full-time. Location : On-site only, in the San Francisco Bay Area or Singapore (offices). Visa Sponsorship : We provide support for relocation and visas for strong full-time candidates to the USA or Singapore. For part-time / contract / internship arrangements, we will work fully remote. Timeline : Applications are rolling. The process should involve 2 technical interviews and a 1-week work trial.
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.
The Role
We are 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
You May Be a Good Fit If You
Strong Candidates May Have
Team & Company Details
Logistics
Applications : For inquiries, please contact recruiting@hud.so
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Infrastructure Engineer • San Francisco, CA, United States
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