Member of Technical Staff - Full Stack
Hyperbolic is an AI cloud platform providing a global network of GPU servers for training, scaling, and serving AI models. It offers services like on-demand GPU rentals, serverless inference, and dedicated hosting to AI labs, startups, and individual engineers. The platform focuses on making AI infrastructure accessible, affordable, and flexible, with options for crypto payments.
Funding
About Hyperbolic
Hyperbolic is an AI cloud platform providing end-to-end infrastructure for training, scaling, and serving AI models. It connects users to a global, open-access network of GPU servers for instant, low-cost rentals, with services up to 75% cheaper than legacy clouds. The platform's offerings include On-Demand and Reserved Clusters for flexible or guaranteed capacity, Serverless Inference for running the latest AI models with API compatibility (e.g., OpenAI), Dedicated Endpoints for high-throughput inference, and Dedicated Hosting for single-tenant GPUs. Hyperbolic also provides AI consulting services with expert support for setup, scaling, and debugging. Catering to engineers, researchers, AI labs, and startups, the platform emphasizes affordability and flexibility, accepting payments via both credit card and crypto.
Skills
About the Role
You will work closely with Product and Engineering to design, build, and scale end-to-end applications that power an AI cloud platform. You will contribute across the stack — from infrastructure and backend systems to frontend interfaces — architect scalable systems, implement new features, improve development practices and CI/CD pipelines, run experiments to inform product decisions, and ship production-ready features end-to-end.
Requirements
- 8+ years of full-stack development experience
- Expert knowledge of TypeScript
- Fluency in Python for backend systems
- Experience with Drizzle ORM and Postgres
- Experience with Vercel and GitHub-based CI/CD pipelines
- Strong product sense and user-focused design
- Demonstrated experience shipping production-ready features end-to-end
- Experience structuring, running, and interpreting A/B and multivariate experiments
- Experience designing and building large-scale applications including data modeling and API design
- Preferred: experience with AI developer tools or at-scale distributed systems
- Preferred: experience with Supabase, Figma, or design collaboration workflows
- Preferred: familiarity with feature flag systems and PostHog
- Preferred: familiarity with LLM APIs such as OpenAI or Anthropic
- Preferred: previous leadership or mentorship experience
Responsibilities
- Design, build, and scale end-to-end applications for the AI cloud platform
- Architect scalable backend and infrastructure systems
- Implement new features across backend and frontend
- Improve development practices and CI/CD pipelines
- Contribute to frontend interfaces and product user experience
- Ship production-ready features end-to-end
- Structure, run, and interpret A/B and multivariate experiments
- Design data models and APIs and build frontend architecture
- Collaborate with cross-functional teams