Who We Are

Join us in putting the world’s compute behind the people building what comes next.

At Hyperbolic, we’re making global AI compute liquid. We bring fragmented, heterogeneous GPU capacity together into one unified, productive platform, making it easier to access, sell, resell, manage, and orchestrate the resources that power AI. For neocloud, we turn GPU capacity into productive infrastructure that delivers lasting value and accelerate their time to market.

We believe bold ideas deserve the computing power to become reality. We’re building toward a future where compute flows as freely as electricity, available when and where it’s needed, so builders everywhere can turn their most ambitious ideas into breakthroughs.

We’re looking for curious, driven people who take ownership, challenge assumptions, and care deeply about what they build. If you’re energized by hard problems and want to help shape how the world accesses AI, we’d love to build with you.

About the Role

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.

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

Preferred Qualifications

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