Lead HPC Cluster Engineer for GPU AI Compute

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a highly skilled HPC Cluster Engineer to design, deploy, and manage GPU Compute Clusters for high-performance computing. The ideal candidate will have extensive experience in building and optimizing large-scale compute infrastructure, and capabilities in automation solutions for effective operations.

The position is located in Santa Clara, California, with a base salary range of $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4, along with equity and benefits.

Qualifications

• Minimum of 5 years experience in large-scale compute infrastructure.
• Proficient in using Linux distributions like RHEL and Ubuntu.
• Experience with performance tuning for EDA workloads.

Responsibilities

• Design, deploy, and operate GPU Compute Clusters.
• Provide technical leadership for managing HPC systems.
• Support researchers by optimizing EDA workloads.

Skills

Experience with AI/HPC workflows

Proficient in Python

Excellent problem-solving skills

Strong communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Ansible

Docker

Slurm

Job description

NVIDIA is seeking a highly skilled HPC Cluster Engineer to design, deploy, and manage GPU Compute Clusters for high-performance computing. The ideal candidate will have extensive experience in building and optimizing large-scale compute infrastructure, and capabilities in automation solutions for effective operations.

The position is located in Santa Clara, California, with a base salary range of $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4, along with equity and benefits.