SVP, Compute

What you'll do

• Own the architecture, strategy, and roadmap for the foundational compute platform underpinning the infrastructure portfolio.
• Drive the transformation of the engineering organization by integrating AI into software development, operations, and reliability engineering.
• Strengthen the hardware-software interface to improve the integration, qualification, and deployment of new compute technologies.
• Manage the evolution of the compute control plane to improve scheduling, provisioning, and fleet operations.
• Standardize the compute data plane across virtualization, bare metal, containers, and accelerated computing.
• Connect technical initiatives to business outcomes such as revenue growth, cost reduction, and capital productivity.
• Lead a global engineering organization to build a culture of technical excellence and operational discipline.
• Improve platform reliability and security through AI-accelerated anomaly detection and automated recovery.

What we're looking for

• Applicants must be able to read, write, and speak English.
• 15+ years of experience in large-scale infrastructure, distributed systems, cloud computing, systems software, or related engineering domains.
• Significant senior engineering leadership experience managing large, globally distributed engineering organizations.
• Deep understanding of compute infrastructure and distributed systems.
• Proven experience evolving and operating infrastructure platforms at hyperscale.
• Demonstrated success improving scalability, reliability, operational efficiency, and economics of mission-critical infrastructure.
• Strong track record of driving platform standardization and architectural simplification.
• Demonstrated ability to apply emerging technologies, including AI, to transform engineering productivity and operational effectiveness.
• Strong business and operational acumen, with experience using business, financial, and operational metrics to drive priorities and investments.
• Experience in a senior leadership role at a leading hyperscale cloud provider (preferred).
• Experience owning major portions of a cloud compute platform, host platform, virtualization stack, or infrastructure control plane (preferred).
• Deep familiarity with GPU and accelerated computing infrastructure (preferred).
• Experience operating infrastructure across hundreds of thousands or millions of servers (preferred).
• Experience driving AI-enabled transformation across large software or infrastructure engineering organizations (preferred).
• Strong understanding of cloud infrastructure economics, including utilization, cost of capacity, capital efficiency, and unit economics (preferred).