NVIDIA
Senior Storage Platform Engineer
$168K–$334K
US, CA, Santa Clara · Senior · Full-time · Posted Sep 10, 2026
- Experience
- 8+ years of hands-on experience with enterprise storage systems in large-scale production environments.
- Education
- MS Degree in Computer Science or equivalent experience
About the job
Designs, deploys, automates, and operates multi-vendor storage platforms supporting NVIDIA’s engineering, EDA, and AI/ML workloads.
What you'll do
- Lead storage deployments and establish configuration standards, baselines, and operational runbooks.
- Build Infrastructure as Code, CI/CD pipelines, and integrations for storage provisioning, inventory, observability, and self-service.
- Manage storage operations, including capacity planning, lifecycle management, performance tuning, and root cause analysis.
What they ask for
- 8+ years of hands-on experience with enterprise storage systems in large-scale production environments.
- Deep working knowledge of at least three listed storage platforms and strong command of NFS, SMB, iSCSI, NVMe-oF, S3, and Lustre.
- Experience building infrastructure automation with Ansible, Terraform, or equivalent; proficiency in Python, Go, or similar.
- Experience integrating storage with CMDB and observability platforms, and with CI/CD platforms and Git-based workflows.
Nice to have
- Experience in HPC, AI/ML, or large-scale research computing environments.
- Experience with self-service storage provisioning, containerization technologies, or internal developer tools and platform APIs.
Pay
168,000 USD - 270,250 USD base salary (Level 4); 208,000 USD - 333,500 USD base salary (Level 5)
Tools
NetApp, Pure Storage, Cloudian, DDN, Ansible, Terraform, Python, Go
AI focus
Supports storage platforms used by AI/ML teams and engineering workflows; no direct AI development duties are stated.
Model-written summary · the original posting is authoritative