Saxon Global
Tech - Corporate Manager @ Saxon | Recruitment & Client Services | Diversity Recruiting | Modern Ai Tech stack
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
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
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
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
Preferred 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
Seniority Level Associate
Employment Type Full-time
Job Function Information Technology
Industries Hospitals and Health Care
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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
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
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
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
Preferred 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
Seniority Level Associate
Employment Type Full-time
Job Function Information Technology
Industries Hospitals and Health Care
#J-18808-Ljbffr