Member of Technical Staff - Full Stack
Hyperbolic Labs6 months ago
Responsibilities
- Design, build, and scale end-to-end applications for the AI cloud platform.
- Develop infrastructure, backend systems, frontend interfaces, platform services, and new product features.
- Architect scalable systems and improve development practices to support rapid growth.
- Contribute to the GPU marketplace, inference tools, and core platform products.
- Collaborate with Product and Engineering teams to deliver user-focused, production-ready software.
- Run and interpret experiments to inform data-driven product decisions.
Requirements
- 8+ years of full-stack development experience, preferably in high-growth product environments.
- Expertise in Node.js and TypeScript, with Python fluency for backend systems.
- Experience with Drizzle ORM, Postgres, Vercel, and GitHub-based CI/CD pipelines.
- Demonstrated experience shipping production-ready features end-to-end and building large-scale applications.
- Experience designing data models, APIs, and frontend architectures.
- Ability to structure, run, and interpret A/B and multivariate experiments.
- Preferred qualifications include strong Python expertise, AI developer tools or distributed systems experience, and familiarity with Supabase, Figma, PostHog, LLM APIs, OpenAI, or Anthropic.
- Previous engineering leadership or mentorship experience is preferred.
Tech Stack
Categories
About Hyperbolic Labs
Hyperbolic provides high‑performance GPU clusters and managed inference for AI startups and ML teams that need reliable capacity on demand, at a lower cost than anyone else. Researchers use Hyperbolic to launch new models faster, avoid GPU waitlists, and scale from prototype to production on the same platform for both training and inference.