Want to know if this job is worth applying to?
San Francisco, California, United States
Onsite
Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating 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.
As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.
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.
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.
Strong background in API design and development, including RESTful APIs, resource lifecycles, versioning strategies, and multi-cloud abstractions
Deep understanding of multi-tenancy architecture including tenant isolation, project hierarchies, resource quotas, and billing integration
Experience with identity, access management, and policy systems including SSO integration, organizational structures, role-based access control (RBAC), and fine-grained permissions
Proven ability to design "golden paths" and developer experiences that abstract complexity while maintaining power and flexibility
Strong systems thinking with ability to design scalable, maintainable architectures for distributed control planes
Experience building compliance hooks, policy enforcement, and governance frameworks for cloud platforms
Excellent communication skills with ability to collaborate across product, engineering, and business teams
Track record of building production-grade platform services used by developers or enterprises
Experience building cloud platforms, PaaS, or infrastructure-as-a-service products
Deep experience building backend services in Go, including API servers, controllers/operators, resource lifecycle management systems, and distributed control plane components
Knowledge of Kubernetes control plane architecture, custom resource definitions (CRDs), and operator patterns
Familiarity with billing systems, metering, usage tracking, and quota enforcement mechanisms
Experience with service mesh, API gateway technologies, and rate limiting strategies
Background in security, compliance frameworks (SOC 2, GDPR, HIPAA), and audit logging
Contributions to open-source platform or infrastructure projects
Experience at companies like AWS, Google Cloud, Azure, or fast-growing infrastructure startups
Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.