Head of Infrastructure, Hyperbolic

• You are an infrastructure leader with a track record of scaling complex systems, guiding high-impact teams, and making deeply technical decisions in environments where reliability and performance are existential
• 10+ years in infrastructure, systems engineering, or distributed systems, including 5+ years leading managers and senior ICs
• Proven ability to own multi-year infrastructure roadmaps, align stakeholders, and translate ambiguous requirements into crisp technical direction
• Experience building, scaling, and mentoring high-performing engineering orgs across infrastructure, platform, and SRE disciplines
• Exceptional judgment in balancing velocity with reliability, cost, and security
• Comfortable working in fast-moving, high-stakes environments where infrastructure is the product
• Deep expertise in distributed systems, operating systems internals, networking, and resource orchestration
• Hands-on experience with container orchestration systems (Kubernetes, Nomad, SLURM, custom schedulers) at global scale
• Strong engineering background with the ability to read and write production code (Go, Rust, Python, or similar)
• Experience architecting multi-cloud + on-prem + edge topologies, including GPU-centric workloads
• Expert-level understanding of infrastructure-as-code, automation frameworks, and GitOps workflows
• Expertise in designing observability systems (metrics, tracing, logging, alerting) and building operational excellence
• A track record of owning 99.9–99.99% uptime targets, incident response processes, and resilience engineering
• Passionate about security-first infrastructure, including workload isolation, network security, IAM, hardening, and compliance
• Experience leading major capacity planning, load forecasting, and cost optimization initiatives

Desirable

• We are hiring a Head of Infrastructure to lead the design, evolution, and reliability of Hyperbolic’s globally distributed GPU cloud. This role sits at the center of our mission: you will architect and scale the systems that power our peer-to-peer GPU marketplace, inference fabric, and core platform primitives
• You’ll own the infrastructure roadmap end-to-end—from distributed systems design and resource orchestration to networking, security, and global capacity strategy
• Ou’ll grow and mentor a world-class engineering organization, establish engineering excellence standards, and partner closely with Product, Security, Platform, and GTM leadership to translate future AI workloads into infrastructure reality