Hyperbolic
VP of Engineering
San Francisco, CA · Hybrid · Director · Full-time · Posted Jun 12, 2026
- Experience
- 12+ years building and operating large-scale infrastructure systems.
About the job
Leads the strategy, architecture, engineering, and organizational growth of Hyperbolic’s AI cloud infrastructure, including GPU clusters for AI training and inference.
What you'll do
- Design and scale cloud infrastructure, GPU orchestration, scheduling, networking, storage, and distributed systems.
- Build reliability practices and SRE and Platform Engineering teams; remain hands-on in technical design, implementation, and escalations.
- Recruit and develop infrastructure teams, and partner with executives on strategy, budgets, vendors, and capacity planning.
What they ask for
- 12+ years building and operating large-scale infrastructure systems.
- Experience leading infrastructure organizations while remaining hands-on technically, building or operating a cloud platform at scale, and building GPU infrastructure or AI/ML compute platforms.
- 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, automation, observability, reliability engineering, and 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.
- Background supporting AI training and inference platforms.
Tools
Kubernetes, Linux, Infrastructure-as-Code, Slurm, Kubernetes GPU operators, Ray
AI focus
Builds and operates GPU cloud infrastructure for AI training and inference workloads.
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