Senior GPU HPC Cluster Engineer — Equity Eligible

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Job summary

NVIDIA Gruppe seeks a skilled HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for high-performance computing workloads. This role involves collaboration with various teams to ensure effective and reliable cluster performance.

Key responsibilities include developing automation solutions, improving infrastructure management, and providing technical leadership in HPC environments. Candidates should have a Bachelor's degree in a relevant field, at least 5 years of experience, and strong skills in Linux, Python, and cluster management.

Qualifications

• 5+ years of experience in large-scale compute infrastructure.
• Experience with AI/HPC workflows using MPI and NCCL.
• Strong problem-solving skills for performance tuning.

Responsibilities

• Develop scalable automation solutions for GPU computing.
• Improve infrastructure provisioning and management.
• Provide technical leadership for large-scale HPC systems.

Skills

Cluster configuration management

AI/HPC job schedulers

Linux proficiency

Python

Bash scripting

Performance analysis

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Ansible

Slurm

InfiniBand

Job description

NVIDIA Gruppe seeks a skilled HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for high-performance computing workloads. This role involves collaboration with various teams to ensure effective and reliable cluster performance.

Key responsibilities include developing automation solutions, improving infrastructure management, and providing technical leadership in HPC environments. Candidates should have a Bachelor's degree in a relevant field, at least 5 years of experience, and strong skills in Linux, Python, and cluster management.