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Hyperbolic Labs
San Francisco, California, USA
Source: Hyperbolic Labs careers · View original posting
From Hyperbolic Labs's posting. “We” and “our” refer to the employer.
Who We Are
Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources.
We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
We're seeking a Platform Engineer to design and build the control plane that powers Hyperbolic's GPU marketplace. This is the "aggregator brain" that transforms raw compute from hundreds of diverse vendors into a unified, programmable product. You'll architect the abstractions, policies, and golden paths that enable thousands of developers to seamlessly access GPU resources across our global network without thinking about the underlying complexity.
In this role, you'll design the tenant management system, build resource lifecycle APIs, implement identity and access control, establish billing and quota frameworks, and create the multi-cloud abstractions that make our platform feel native regardless of the underlying provider. You'll work closely with our engineering team to craft elegant solutions for complex distributed systems challenges, ensuring our control plane is robust, scalable, and developer-friendly.
This is a foundational engineering role where your architectural decisions will shape how AI developers worldwide interact with compute resources.
Who You Are
Expert in platform engineering with experience designing and building control planes for cloud platforms, developer platforms, or infrastructure services
Expert-level software engineering skills in Go (Golang) with a track record of building and operating production distributed systems and infrastructure services.
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