Lead Principal Engineer for Data Center Architecture

Oracle is hiring a Lead Principal Engineer for Data Center Architecture to enable high-density AI deployments. The role focuses on site selection, capacity planning, power and cooling design, connectivity planning, and multi-site readiness assessments across data centers, campuses, and colocation facilities.

Responsibilities:

• You will play a pivotal role in enabling high-density AI deployments through thoughtful site selection, capacity planning, power and cooling design, connectivity planning, and multi-site readiness assessments

Requirements:

• Applicants are required to read, write, and speak the following languages: English
• Strong knowledge of modern data center and campus architecture, including power, cooling, networking, storage connectivity, physical infrastructure, colocation considerations, and operational resiliency
• Experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments
• Ability to evaluate site and data-hall constraints, including physical layout, rack placement, power availability, cooling capacity, density limits, and serviceability
• Experience with capacity planning and rack-power modeling for high-density AI infrastructure
• Strong understanding of high-performance networking, scale-out connectivity, and storage-related network demand for AI environments
• Ability to develop flexible infrastructure options and late-binding strategies as technology, capacity, and customer requirements evolve
• Strong communication skills, including the ability to articulate architectural decisions, deployment risks, customer commitments, and tradeoffs to technical and executive stakeholders
• Ability to coordinate effectively across facilities, network, storage, colocation, hardware, software, and business teams
• 8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment
• Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses
• Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization
• Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning
• Experience evaluating multi-site deployment readiness and managing platform or capacity pivots
• Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design