Senior Storage Production Engineer

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$176,000–$276,000 / yr
Employment
Full-time
Posted
135 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $226k
$137k $291k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $156,575–$235,750 — the blue band above. At the midpoint, this role pays about $226k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Storage Production Engineer

The Senior Storage Production Engineer - DGX Cloud joins the team to design, implement, and support large-scale storage clusters for GPU cloud services. This role focuses on ensuring high availability, data integrity, and low-latency access for HPC and AI/ML workloads. Key responsibilities include developing monitoring, logging, and alerting systems, managing capacity, and optimizing storage through compression, deduplication, and intelligent workload placement. The engineer will automate storage operations and maintain production infrastructure using a technical stack including C/C++, Java, Python, Go, NodeJS, and Bash. Required expertise spans distributed storage, parallel file systems, and protocols like NFS, S3, RDMA, and NVMe over Fabrics. Candidates must utilize tools such as Ansible, Terraform, Prometheus, and Grafana to manage Linux-based systems and ensure scalable data redundancy.

What you'll do

  • Design, implement, and support large-scale storage clusters to ensure scalability, high availability, and data integrity.
  • Develop and maintain storage monitoring, logging, and alerting systems for proactive performance issue resolution.
  • Optimize storage architectures for AI/ML workloads to achieve low-latency access and high-throughput performance.
  • Automate storage operations using infrastructure configuration tools and predictive analytics to manage system health.
  • Improve storage efficiency through compression, deduplication, tiering strategies, and intelligent workload placement.
  • Implement encryption, access controls, and auditing mechanisms to ensure data security and compliance.
  • Perform sustainable incident response and blameless root cause analysis for production storage systems.
  • Participate in an on-call rotation to provide continuous support for storage and production infrastructure.

What we're looking for

  • BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field.
  • 8+ years of practical experience in a relevant technical field.
  • Experience with distributed and high-performance storage solutions, including clustered and parallel file systems and distributed object storage.
  • Solid understanding of block, file, and object storage technologies, including scalability, reliability, and performance characteristics.
  • Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.
  • Expertise in algorithms, data structures, complexity analysis, software design, and automating maintenance of large-scale Linux-based storage systems.
  • Experience in one or more of C/C++, Java, Python, Go, NodeJS, and Bash for storage automation, monitoring, and performance tuning.
  • Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform.

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