Senior Manager, Storage Engineering

Responsibilities

• Lead petabyte-scale storage deployments across NVIDIA's on-premises data centers and major CSPs (AWS, Azure, GCP), owning the end-to-end lifecycle from design and procurement through physical installation, configuration, and production hand-off.
• Engineer and maintain automation pipelines that integrate deployed storage systems with interdependent tooling — including CMDB (asset tracking and dependency mapping), configuration management platforms, and observability stacks, ensuring a single source of truth across the entire storage fleet.
• Define and drive continuous improvement initiatives focused on data center efficiency: optimizing DC power consumption (PUE impact, drive density, power shelf utilization) and minimizing rack space footprint through high-density hardware selection and intelligent workload placement strategies.
• Develop and maintain self-service tools and dashboards that enable internal customers (EDA, Manufacturing, Software Engineering teams) to track real-time storage capacity availability, consumption trends, and projected growth, reducing friction and improving planning accuracy.
• Coordinate and partner with partner infrastructure teams — networking, compute, cloud, and Data center to present a unified capacity view, resolve cross-domain bottlenecks, and contribute to NVIDIA's holistic infrastructure capacity planning process.
• Manage vendor relationships and lead hardware refresh and EOL planning cycles across the storage portfolio, balancing performance requirements, cost efficiency, and supply chain constraints.
• Recruit, mentor, and grow a team of storage deployment engineers; establish engineering standards, runbooks, and on-call practices to ensure a high operational bar.
• Partner with architecture and security teams to evaluate new storage technologies, drive POCs, and translate findings into production-ready deployment standards.
• Own and engineer the full hardware and data lifecycle — from procurement, rack integration, and initial provisioning through capacity expansion, decommissioning, and secure data destruction — ensuring compliance, auditability, and zero unplanned data loss at every stage.
• Define and govern data lifecycle management policies in close collaboration with key stakeholders across Chip

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