Hyperbolic

Engineering Manager

• Lead the design and evolution of our AI cloud platform
• Define the architecture for GPU orchestration, compute scheduling, networking, storage, and distributed systems
• Make critical decisions regarding cloud infrastructure, bare-metal deployments, and platform scalability
• Personally participate in architecture reviews and key technical initiatives
• Build and scale large GPU clusters supporting customer workloads
• Design systems for GPU provisioning, scheduling, utilization optimization, and capacity management
• Drive platform reliability and performance for AI training and inference workloads
• Partner closely with engineering teams on infrastructure requirements for next-generation AI systems
• Remain deeply involved in engineering decisions and technical direction
• Contribute directly to infrastructure design and implementation efforts
• Review architecture proposals, system designs, and major infrastructure changes
• Act as the technical escalation point for complex infrastructure challenges
• Establish best practices for Kubernetes, observability, CI/CD, security, and operational excellence
• Build SRE and Platform Engineering functions from the ground up
• Define reliability standards including SLOs, SLIs, incident response processes, and capacity planning
• Drive automation across infrastructure operations
• Recruit and develop world-class Infrastructure, Platform, and SRE teams
• Build a high-performance engineering culture focused on ownership and execution
• Partner with executive leadership on company strategy and infrastructure investments
• Manage infrastructure budgets, vendor relationships, and capacity planning

VP of Engineering