SupportFinity™
Systems Engineer, Infrastructure
SupportFinity™, San Francisco, California, United States, 94199
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
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 Team & Company Details
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. Logistics
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. Applications: For inquiries, please contact recruiting@hud.so
#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. 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
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 Team & Company Details
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. Logistics
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. Applications: For inquiries, please contact recruiting@hud.so
#J-18808-Ljbffr