HPC/AI Systems Administrator

NextSilicon • Minneapolis, MN

1d

About The Position

NextSilicon is seeking a dynamic, results-oriented HPC/AI Systems Administrator to join its Field Deployment & Systems team. The role is central to sustaining the successful operation of HPC/AI systems by standing up and maintaining hardware and software resources, tuning and configuring systems for high-quality benchmarking, and maintaining system health and accessibility through cluster management tools and capacity planning. This is a highly technical, execution-focused individual contributor role with no people management or leadership responsibilities at this time. The position can be remote within the U.S. or hybrid at an office in Minnesota or California. Travel within the USA is expected approximately four times per year. Candidates must be U.S. citizens eligible to visit U.S. government research facilities.

Requirements

• Bachelor’s degree in engineering, mathematics, computer science, a related field, or equivalent experience.
• 5–10+ years of experience with HPC system administration.
• Hands-on experience configuring, maintaining, and troubleshooting Slurm in large-scale HPC/AI environments; Slurm experience is required.
• Deep understanding of HPC and AI technologies and software ecosystems.
• U.S. citizenship and eligibility to visit U.S. government research facilities.
• Ability to travel within the USA approximately four times per year.

Nice To Haves

• An advanced degree.
• Experience in a fast-paced, entrepreneurial environment.

Responsibilities

• Administer, install, monitor, and maintain HPC/AI systems, including compute nodes, storage, networking, and software stacks.
• Develop and maintain automation tools for system provisioning, configuration management, and monitoring.
• Install, configure, and optimize job scheduling and resource management tools such as Slurm.
• Assist with system security, patch management, and troubleshooting operational issues.
• Contribute to performance benchmarking, system tuning, and capacity planning.
• Deploy and maintain commonly used HPC/AI applications, software stacks, and technologies, including MPI, containers, Spack, and modules.
• Document system administration procedures and contribute to knowledge-sharing initiatives.
• Support researchers by providing technical expertise and resolving escalated support tickets.
• Participate in vendor coordination, system procurement, and hardware/software lifecycle management.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level