Senior Infrastructure Engineer, AI GPU Cloud Orchestration

Hyperbolic; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Hyperbolic is seeking a very senior Infrastructure Engineer to design and scale a GPU Cloud Marketplace. You will build a multi-tenant provisioning and virtualization solution, transforming raw GPUs into a programmable pool for thousands of AI developers and researchers.

Work at the cutting edge of cloud infrastructure to deliver substantial cost savings compared to traditional providers. Deep expertise in bare-metal provisioning, GPU scheduling, and distributed systems is required, along with

Qualifications

• Experience with bare-metal provisioning and lifecycle management, including IPMI/Redfish and automated OS deployment workflows.
• Expertise in GPU scheduling, memory management, topology-aware placement for multi-GPU jobs, and fragmentation minimization.

Responsibilities

• Build and scale Hyperbolic's GPU Cloud Marketplace with multi-tenant provisioning and virtualization.
• Create the core orchestration layer to transform raw GPUs into a programmable, orchestrated pool for thousands of developers.
• Develop infrastructure with cost-saving goals and strong reliability in production environments.

Skills

Bare-metal provisioning

GPU scheduling

Terraform

Pulumi

CI/CD for infra

Observability

Storage for AI/ML

CUDA / GPU compute

Vendor collaboration

Distributed systems

Tools

Terraform

Pulumi

IPMI

Redfish

Job description

Hyperbolic is seeking a very senior Infrastructure Engineer to design and scale a GPU Cloud Marketplace. You will build a multi-tenant provisioning and virtualization solution, transforming raw GPUs into a programmable pool for thousands of AI developers and researchers.

Work at the cutting edge of cloud infrastructure to deliver substantial cost savings compared to traditional providers. Deep expertise in bare-metal provisioning, GPU scheduling, and distributed systems is required, along with