Hyperbolic
VP of Engineering
San Francisco, CA, Remote. Posted 5 months ago
The role
The Vice President of Infrastructure will build and scale the foundational infrastructure for an AI cloud platform. This hands-on executive role involves owning infrastructure strategy, organizational growth, and technical design.
What you will do
- Lead the design and evolution of the AI cloud platform
- Define architecture for GPU orchestration, compute scheduling, networking, storage, and distributed systems
- Build and scale large GPU clusters supporting customer workloads
- Design systems for GPU provisioning, scheduling, utilization optimization, and capacity management
- Remain deeply involved in engineering decisions and technical direction
- Contribute directly to infrastructure design and implementation efforts
- Establish best practices for Kubernetes, observability, CI/CD, security, and operational excellence
- Build SRE and Platform Engineering functions from the ground up
- Recruit and develop Infrastructure, Platform, and SRE teams
- Manage infrastructure budgets, vendor relationships, and capacity planning
Required qualifications
- 12+ years building and operating large-scale infrastructure systems
- Experience leading infrastructure organizations while remaining hands-on technically
- Previous experience building or operating a cloud platform at scale
- Experience building GPU infrastructure or AI/ML compute platforms
- Proven track record scaling infrastructure in high-growth startup environments
- Expert-level Kubernetes knowledge
- Experience designing and operating multi-region cloud infrastructure
- Strong understanding of Linux, networking, distributed systems, and storage architecture
- Experience with Infrastructure-as-Code and automation frameworks
- Deep expertise in observability, monitoring, and reliability engineering
- Experience building highly available production systems
Nice to have
- Experience with GPU scheduling, Slurm, Kubernetes GPU operators, Ray, or distributed training systems
- Experience managing thousands of GPUs in production environments
- Background supporting AI training and inference platforms
About the company
Hyperbolic makes global AI compute liquid by bringing fragmented, heterogeneous GPU capacity together into one unified platform. They aim to make compute flow as freely as electricity for builders everywhere.