Member of Technical Staff – Full Stack

Job not on LinkedIn

🕒 March 27

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Hyperbolic

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Hyperbolic is a company that provides accessible, affordable, and scalable GPU resources and AI services through an open access cloud platform. It allows users, including companies, researchers, data centers, and individuals, to access powerful GPUs such as A100 and H100 at the lowest market prices. Hyperbolic also enables users to monetize their idle machines, turning them into profit-makers with flexible payment options. The platform is praised for its revolutionary role in democratizing AI by offering easy access to computing resources and AI inference services at competitive prices. Hyperbolic is committed to creating an equitable and transformative future with AI, focusing on collaboration, security, scalability, and reliability in its services.

📋 Description

• Work closely with Product and Engineering teams to design, build, and scale end-to-end applications. • Contribute across the stack — from infrastructure and backend systems to intuitive frontend interfaces. • Deliver a seamless experience for our GPU marketplace, inference tools, and platform services. • Architect scalable systems, implement new features, and improve development practices to support rapid growth.

🎯 Requirements

• 8+ years of experience in full-stack development, preferably in high-growth product environments. • Expert in TypeScript, with Python fluency for backend systems • Experience with Drizzle ORM, Postgres, and Vercel and Github-based CI/CD pipelines. • Strong product sense — you care about user experience as much as technical elegance. • Effective communicator who thrives in fast-paced, cross-functional teams. • Demonstrated experience shipping production-ready features end-to-end. • Skilled in structuring, running, and interpreting A/B and multivariate experiments to inform data-driven product decisions. • Experience designing and building large-scale applications, from data modeling and API design to front-end architecture.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options