This role pays more than
75%
of similar roles. Most pay
$149,762–$226,000
— the shaded band above.
At the midpoint, this role pays about
$226k
versus about
$188k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Storage Production Engineer - DGX Cloud, you will join the team to design, implement, and support large-scale storage clusters ensuring high availability, data integrity, and low-latency access for AI/ML workloads. You will manage distributed systems by developing monitoring, logging, and alerting tools while optimizing performance through compression, deduplication, and intelligent caching. The role involves automating storage operations using Python, Go, C/C++, Java, or Bash, alongside infrastructure tools like Ansible, Chef, Puppet, and Terraform. You will work with technologies including Kubernetes, NVMe over Fabrics, RDMA, S3, and the Elastic stack to manage high-throughput systems. Your daily work focuses on solving complex data management challenges, ensuring reliable GPU cloud services, and maintaining production infrastructure through proactive fault detection, capacity planning, and automated remediation within a large-scale distributed storage environment.
Go
Python
Rust
C/C++
Java
Kubernetes
Linux
eBPF
POSIX
FUSE
Distributed Systems
Cloud Infrastructure
Telemetry
Data Pipelines
High-Performance Computing
SRE