Senior AI Infrastructure Engineer
HyperbolicSan Francisco, California, United States
Posted March 26, 2026
Full Time
About the Company
Hyperbolic is developing an open-access AI cloud platform that offers cost-effective inference and compute services. The company empowers builders, researchers, and individuals to create AI applications without relying on centralized infrastructure. By providing affordable access to advanced computing resources, Hyperbolic aims to democratize AI development and innovation.
Job Description
We're looking for a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, building a multi-tenancy provisioning and virtualization solution.
Requirements
- Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
- Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
- Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
- Solid understanding of GPU architecture, CUDA, and GPU compute optimization
- Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
- Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
- Experience building and scaling cloud infrastructure or distributed systems in production environments
Benefits
- 401k Matching
- Retirement Plan
- Generous Paid Time Off
- Visa Sponsorship
