Member of Technical Staff - Full Stack
Hyperbolic is an open-access AI cloud providing on-demand GPU infrastructure, reserved and private cloud capacity, managed inference, and AI compute services.
Funding history
About Hyperbolic
Hyperbolic operates an AI cloud platform for training, fine-tuning, and serving AI models at scale. It provides self-serve GPU instances and clusters, reserved capacity, private cloud infrastructure, OpenAI-compatible inference APIs, dedicated model hosting, and related infrastructure services for developers, researchers, startups, and enterprises.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Work with Product and Engineering to design, build, and scale end-to-end applications for an AI cloud platform, contributing across infrastructure, backend systems, frontend interfaces, product development, and engineering practices.
Requirements
- 8+ years of full-stack development experience
- Expert knowledge of TypeScript
- Fluency in Python for backend systems
- Experience with Drizzle ORM, Postgres, Vercel, and GitHub-based CI/CD pipelines
- Strong product sense and user-focused design
- Experience shipping production-ready features end-to-end
- Experience running and interpreting A/B and multivariate experiments
- Experience designing large-scale applications, data models, APIs, and frontend architecture
- 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 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
