AI/ML HPC Cluster Engineer — Scale GPU-Accelerated Infra

NVIDIA; Colorado; On-site; USD 124,000 - 195,500; Full time

Job summary

A leading technology company located in Colorado is seeking to fill a critical role in managing AI superclusters. The successful candidate will support day-to-day operations of both on-premises and multi-cloud AI/HPC clusters, ensuring optimal performance and user satisfaction. The role requires a Bachelor's degree and at least 2 years of experience with compute infrastructure and AI job schedulers. The base salary ranges from 124,000 to 195,500 USD, accompanied by equity and benefits. Applications accepted until February 24, 2026.

Qualifications

• Minimum 2+ years of experience administering multi-node compute infrastructure.
• Background in managing AI/HPC job schedulers.
• Proficient in Centos/RHEL and/or Ubuntu Linux distributions.

Responsibilities

• Support day-to-day operations of AI/HPC clusters.
• Directly administer internal research clusters.
• Develop and improve the ecosystem around GPU-accelerated computing.

Skills

Administration of multi-node compute infrastructure

Working with AI/HPC job schedulers

Proficient in Centos/RHEL, Ubuntu

Cluster configuration management tools

Container technologies

Python programming

Bash scripting

Education

Bachelor’s degree in Computer Science, Electrical Engineering or related field

Tools

Ansible

Docker

Kubernetes

Job description

A leading technology company located in Colorado is seeking to fill a critical role in managing AI superclusters. The successful candidate will support day-to-day operations of both on-premises and multi-cloud AI/HPC clusters, ensuring optimal performance and user satisfaction. The role requires a Bachelor's degree and at least 2 years of experience with compute infrastructure and AI job schedulers. The base salary ranges from 124,000 to 195,500 USD, accompanied by equity and benefits. Applications accepted until February 24, 2026.