This role pays more than
57%
of similar roles. Most pay
$172,981–$246,150
— the shaded band above.
At the midpoint, this role pays about
$226k
versus about
$210k
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 HPC AI Cluster Engineer on the Networking Clusters Solutions Infrastructure team, you will design, implement, and maintain large-scale HPC and AI clusters while managing Linux job scheduling and orchestration tools. You will develop continuous integration pipelines, create automation tools for infrastructure management, and provide troubleshooting from bare metal through the application level. The role involves collaborating with researchers and specialists to architect performance platforms and support R&D activities. Key technical requirements include experience with Slurm, K8s, Python, Bash, and configuration management tools like Jenkins, Ansible, or Puppet. You will work with Linux and Windows systems, InfiniBand and Ethernet networking protocols, and storage solutions such as Lustre, GPFS, and Weka.io. The role focuses on solving complex problems in accelerated computing, GPU compute, and large-scale system tuning for advanced AI workloads.
GPU
HPC
Deep Learning
C++
Python
Bash
Linux
Parallel Filesystems
Accelerated Computing
System Administration
Telemetry
Visualization Pipelines
I/O Stacks