Senior DevOps & Infrastructure Engineer

About HUD

HUD (YC W25) does RL and evaluations for frontier AI agents. Our HUD agentic RL platform is used by frontier labs, Fortune 500 companies and startups. We have grown revenue and raised funding from YC, A16Z and other leading VCs to scale fast.

About the role

We're looking for an experienced senior infrastructure engineer to help build our platform for RL at scale.

Responsibilities

• Build out HUD's existing RL and evaluations framework

• Optimize our RL and evaluation infrastructure at frontier 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

• Deep familiarity with current AI tools and LLM capabilities

• Understanding of LLM evaluation/RL 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: ~15 people currently, mostly full-time in-person, but some remote.

• Our team: 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 tens of millions in venture funding, plus very strong demand and revenue growth beyond that. We are scaling profitably and fast to meet demand.

Logistics

• Employment: Fulltime.

• Location: On-site only, for now. You can join the team in the San Francisco Bay Area or Singapore offices.

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

• Timeline: Applications are rolling. The process should involve 2 technical interviews and a 1-week work trial.

Unlimited access to tokens

• You will have unlimited access* to API credits for leading providers like OpenAI, Anthropic, Gemini, Cursor etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

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!