Senior Distributed Storage Engineer for AI/ML Workloads

NVIDIA Corporation; United States; Remote; USD 176.000 - 334.000; Vollzeit

Zusammenfassung

NVIDIA Storage Production Engineers design, build, and maintain large-scale storage clusters to support GPU cloud services and AI/ML workloads. You will optimize data placement, latency, and throughput while automating storage operations and improving reliability across HPC and AI environments.

The role emphasizes scalable storage architectures, proactive monitoring, and ensuring high availability. You will work with a broad set of tools and collaborate with cross-functional teams to meet

Qualifikationen

• BS degree in CS, Storage Systems, or related field with 8+ years of practical experience.
• ,

Aufgaben

• Design, build, and support large-scale storage clusters.
• Develop monitoring, logging, and alerting for proactive operations.
• Automate storage operations and data management.
• Work with AI/ML workloads to optimize storage architectures for low latency and high throughput.
• Participate in on-call rotation and capacity planning.

Kenntnisse

Distributed storage

NFS

SMB

iSCSI

S3

NVMe over Fabrics

C/C++

Python

Go

Bash

Ansible

Terraform

Prometheus

Grafana

Linux

Ausbildung

BS in CS, Storage Systems, or related field

Storage Systems experience

Tools

InfluxDB

Elastic Stack

Kibana

OpenStack

Jobbeschreibung

NVIDIA Storage Production Engineers design, build, and maintain large-scale storage clusters to support GPU cloud services and AI/ML workloads. You will optimize data placement, latency, and throughput while automating storage operations and improving reliability across HPC and AI environments.

The role emphasizes scalable storage architectures, proactive monitoring, and ensuring high availability. You will work with a broad set of tools and collaborate with cross-functional teams to meet