Senior Manager, Storage Engineering

NVIDIA•Santa Clara, CA

10d•$248,000 - $396,750

About The Position

NVIDIA’s IT Storage Engineering team designs, deploys, and manages petabyte-scale storage infrastructure supporting internal organizations including Hardware Engineering and Chip Design, Software Engineering, Manufacturing, AI/ML Research, and IT Operations. The Senior Manager, Storage Engineering will lead storage engineers and collaborate across NVIDIA’s global IT organization to scale storage infrastructure across on-premises data centers and cloud service providers. The role owns the end-to-end deployment lifecycle, from capacity planning and procurement through installation, configuration, integration, production hand-off, and ongoing operational health. The position also leads automation, capacity visibility, data center efficiency, vendor and hardware lifecycle management, and data lifecycle policies. It works with architecture, security, and partner infrastructure teams to deliver reliable, high-performance storage while maintaining operational standards, compliance, auditability, and secure data handling.

Requirements

BS or MS in Computer Science, Storage Systems, or a related technical field, or equivalent experience.
12+ years of overall experience in large-scale storage architecture, operations, production engineering, or infrastructure.
6+ years of people management or technical leadership experience with storage, infrastructure, or site reliability teams.
Deep protocol-level knowledge of enterprise block storage, including NVMe-oF; file storage, including NFS and SMB/CIFS; object storage, including S3-compatible systems; and high-performance parallel file systems, including GPFS/IBM Spectrum Scale and Lustre.
Hands-on deployment and operations experience with multiple major storage vendors, including NetApp ONTAP and StorageGRID, Pure Storage FlashArray and FlashBlade, Cloudian HyperStore, and DDN EXAScaler and A³I.
Understanding of storage hardware internals, including drive types and endurance profiles, controller architectures, shelves and enclosures, cabling standards, and failure domain planning.
Working knowledge of bare-metal server hardware and data center networking hardware relevant to storage connectivity.
In-depth expertise building and maintaining Prometheus exporters, Grafana dashboards, and alerting rules for storage fleet health, performance SLOs, and capacity burn-rate tracking.
Strong Ansible configuration management skills, including playbook authoring, role design, inventory management, and Ansible Tower/AAP.
Proficiency in Python and/or Bash scripting and automation, including REST API integrations for CMDB updates, provisioning workflows, and reporting pipelines.
Proven experience managing large-scale, multi-vendor storage environments of 100 PB or more in a fast-paced, high-availability production setting.

Nice To Haves

Deep knowledge of Kubernetes storage integrations, including CSI driver operations, persistent volume lifecycle management, StorageClass design, and storage-intensive workloads at scale.
HPC systems expertise, including storage deployment and tuning for HPC clusters, parallel file system performance optimization, and storage architecture co-design with HPC compute and fabric teams.
Familiarity with modern storage technologies such as NVMe, RDMA, and DPUs, and their performance impact, including kernel-level concepts around I/O subsystems and volumes.
Familiarity with HPC job schedulers such as IBM LSF or Slurm and how scheduling behavior affects storage design, including experience with storage-aware scheduling policies.
Experience building or scaling storage for AI/ML or HPC workloads in hybrid or multicloud environments and on-premises infrastructure.

Responsibilities

Lead petabyte-scale storage deployments across on-premises data centers and major cloud service providers, owning the lifecycle from design and procurement through installation, configuration, and production hand-off.
Engineer and maintain automation pipelines integrating storage deployments with CMDB, configuration management, and observability tools.
Drive data center efficiency initiatives, including power-consumption optimization, improved drive density and power shelf utilization, and reduced rack footprint.
Develop and maintain self-service tools and dashboards for internal customers to view storage capacity, consumption trends, and projected growth.
Coordinate with networking, compute, cloud, and data center infrastructure teams to provide a unified capacity view, resolve bottlenecks, and contribute to infrastructure capacity planning.
Manage vendor relationships and lead hardware refresh and end-of-life planning across the storage portfolio.
Recruit, mentor, and develop storage deployment engineers; establish engineering standards, runbooks, and on-call practices.
Partner with architecture and security teams to evaluate storage technologies, conduct proofs of concept, and establish production deployment standards.
Own the hardware and data lifecycle, including procurement, rack integration, provisioning, capacity expansion, decommissioning, and secure data destruction.
Define and govern data lifecycle policies with stakeholders in Chip Design and Software Engineering, aligning retention, tiering, archival, and deletion standards with business workflows.