Senior Manager, Storage Engineering

NVIDIA is the world leader in accelerated computing, inventing the GPU and pioneering the technologies that power modern AI, data science, autonomous vehicles, robotics, and high-performance computing. From the chips that run the world's fastest supercomputers to the software platforms that accelerate breakthroughs in science and industry, NVIDIA sits at the center of the most transformative technology shift of our time. NVIDIA's IT Storage Engineering team architects, designs, deploys, and manages petabyte-scale storage infrastructure that serves as the foundation for some of the most demanding workloads in the industry. Our team is a critical enabler across a broad set of internal organizations — Hardware Engineering & Chip Design, Software Engineering, Manufacturing, AI/ML Research, and IT Operations — delivering reliable, high-performance storage solutions that keep NVIDIA's innovation engine running at full speed. As the Storage Deployment Manager, you will lead a team of storage engineers and collaborate across NVIDIA's global IT organization to ensure that our storage infrastructure scales with the company's relentless pace of innovation. You will own the full deployment lifecycle — from capacity planning and hardware procurement through rack-and-stack, configuration, integration, and ongoing operational health — across on-premises data centers and cloud service providers (CSPs). What You’ll Be Doing: 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 Design and Software Engineering teams, aligning retention, tiering, archival, and deletion standards to business workflows, improving overall storage efficiency, and reducing cost by eliminating stale or redundant data across the fleet. What We Need to See: BS or MS in Computer