Senior Storage Platform Engineer

NVIDIA•Santa Clara, CA

9d•$168,000 - $333,500•Hybrid

About The Position

NVIDIA is seeking a Senior Storage Platform Engineer to design, deploy, and operate storage platforms supporting its EDA FARM, software engineering, AI/ML teams, and engineering workflows at scale. The role owns the full lifecycle of multi-vendor storage infrastructure while developing automation, pipelines, and integrations to make storage a scalable, self-service platform. It drives Infrastructure as Code adoption and integration of storage with CMDB, observability, configuration management, and self-service tooling. The engineer leads storage deployments across NetApp, Pure Storage, Cloudian, and DDN; establishes configuration standards and runbooks; and builds IaC frameworks and CI/CD pipelines for repeatable, reviewed, and validated configuration changes. The role also develops integrations with infrastructure ecosystem tools, manages day-2 operations, and partners with engineering, research, chip design, and application teams to deliver storage solutions suited to their workloads. NVIDIA encourages creative, autonomous candidates and is committed to an inclusive, equal-opportunity work environment.

Requirements

At least 8 years of hands-on experience with enterprise storage systems in large-scale production environments.
Deep working knowledge of at least three of the following platforms: NetApp ONTAP (NFS/NAS), Pure Storage FlashArray or FlashBlade, Cloudian HyperStore (S3 object), and DDN (Lustre/EXAScaler or high-performance NAS).
Strong command of storage protocols, including NFS, SMB, iSCSI, NVMe-oF, S3, and Lustre.
Proven experience building infrastructure automation with Ansible, Terraform, or equivalent Infrastructure as Code tools.
Proficiency in Python, Go, or a similar language, with experience building reusable tooling rather than one-off scripts.
Experience integrating storage systems with CMDB platforms such as ServiceNow, Nautobot, or Cerebro, and observability stacks such as Prometheus/Grafana, Splunk, or Datadog.
Solid experience with CI/CD platforms such as GitHub Actions, Jenkins, or GitLab CI, and Git-based workflows.
Ability to work across teams and translate infrastructure needs into platform capabilities.
Master's degree in Computer Science or equivalent experience.

Nice To Haves

Experience in HPC, AI/ML, or large-scale research computing environments where storage is mission-critical and throughput matters.
Experience building self-service storage provisioning workflows that enable other teams to work independently.
Experience with containerization technologies such as Docker, Mesosphere DCOS, or Kubernetes.
Contributions to or maintenance of internal developer tools or platform APIs.

Responsibilities

Lead end-to-end deployment of storage systems across NetApp, Pure Storage, Cloudian, and DDN, owning timelines, configuration quality, and delivery against project milestones.
Define and enforce configuration standards, baselines, and operational runbooks across storage platforms, ensuring deployments are consistent, documented, and auditable.
Design and implement Infrastructure as Code frameworks, such as Ansible or Terraform, to automate provisioning, configuration management, and lifecycle operations.
Build and maintain CI/CD pipelines for storage configuration deployments so changes are reviewed, tested, and rolled out repeatably and with validation.
Develop and own integrations between storage platforms and the broader infrastructure ecosystem, including CMDB asset discovery and inventory synchronization, observability metrics and alerting, configuration drift detection, and self-service provisioning portals.
Manage day-2 operations, including capacity planning, firmware and software lifecycle management, performance tuning, and root cause analysis.
Partner with chip design, software engineering, research, and application teams to deliver integrated storage solutions for engineering workloads.
Champion GitOps practices so configurations are tracked and changes are reviewed, avoiding manual, one-off configurations.