HPC Systems Engineer I

Job Description

• HPC Systems Engineer I
• Location: Cincinnati, OH (hybrid model)
• Employment Type: Direct Hire
• Start Date: ASAP

Overview

This is a direct-hire, Cincinnati-based role supporting high-performance computing (HPC), GPU, and research data platforms used across genomics, AI/ML, and large-scale data analysis. The role is well-suited for an early-career systems engineer looking to grow in a mission-driven, research-focused environment.

Key Responsibilities

HPC & Linux Systems Support

• Support day-to-day operations of HPC clusters, including:
• User and account management
• Job scheduler support and basic troubleshooting
• Resource monitoring and utilization
• Building and maintaining software modules
• Troubleshoot batch job failures and assist researchers with execution issues
• Support GPU and AI workloads as part of a modern research computing environment

System Engineering & Operations

• Assist with analysis, design, implementation, and maintenance of Linux-based systems (primarily RHEL)
• Participate in system testing, validation, and documentation
• Contribute to platform reliability, performance, and scalability improvements
• Follow change management and operational procedures

Technical & End-User Support

• Provide responsive technical support to researchers and internal teams
• Communicate clearly via email and incident management tools
• Monitor systems and assist with identifying future enhancement opportunities
• Participate in on-call rotations as needed

Collaboration & Growth

• Work closely with researchers, engineers, and IT partners
• Contribute to ongoing modernization initiatives including AI and GPU platform evolution
• Maintain accurate technical documentation

Required Qualifications

• Bachelor’s degree in a related field, or equivalent experience
• Foundational Linux experience
• Exposure to HPC environments, including:
• User/account creation
• Batch job systems
• Basic job troubleshooting
• Software module builds
• Strong written and verbal communication skills
• Willingness to learn and grow in a research computing environment

Qualifications

• Experience with HPC schedulers such as Slurm or LSF
• Experience imaging and building RHEL-based servers
• Familiarity with configuration management tools (Ansible, Puppet, Satellite, or similar)
• Experience with LDAP, DNS, Apache, networking, storage, and Linux system logging
• Basic server and data center hardware knowledge
• Experience in healthcare, research, or academic computing environments

How Success Is Measured

• Timely and effective resolution of HPC and system issues
• Stability and performance of supported platforms
• Ability to ramp quickly and work independently
• Quality of communication with researchers and internal teams
• Positive feedback from users and leadership