Member of Technical Staff - Full Stack
Hyperbolic is an open-access AI cloud that provides on-demand, reserved, and private GPU infrastructure for AI training, fine-tuning, inference, and production workloads. It serves startups, researchers, AI labs, enterprises, and compute providers.
Maintainer signals as of 8/12/2026
Funding history
Projects
About Hyperbolic
Hyperbolic operates an AI cloud platform that gives teams flexible access to high-performance GPUs through a global compute-provider network. Its offerings include self-serve on-demand GPU instances, reserved dedicated clusters, and private cloud infrastructure, supporting training, fine-tuning, inference, batch jobs, and long-running production workloads. The company serves AI-native teams, researchers, AI labs, enterprises, data centers, and infrastructure providers.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
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
