What are the responsibilities and job description for the HPC Administrator position at Jahnel Group?
LTI (Logic Technology, Inc.), the "Pro People" company, is a privately held technology solutions provider that offers best-in-class services to local, national, and global organizations. After three decades, these initials have come to represent more than just our company name. They have also come to represent our hard-earned reputation for Leadership, Technology, and Integrity.
At LTI, we believe confident, motivated employees produce superior work, ensuring our client relationships continue to thrive. We actively create an environment where great professionals want to be. We offer excellent benefits, interesting work, and opportunities for personal development.
Who We're Looking For
We are seeking an experienced HPC Administrator with a strong background in Linux systems administration, HPC environments, and workload scheduling platforms such as PBS Professional or Slurm. The ideal candidate is comfortable supporting engineering and research teams, managing GPU-enabled infrastructure, automating operational processes, and maintaining highly available, secure computing environments that support mission-critical workloads.
Responsibilities
The work hours will be approximately 8:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required. Salary dependent upon experience.
At LTI, we believe confident, motivated employees produce superior work, ensuring our client relationships continue to thrive. We actively create an environment where great professionals want to be. We offer excellent benefits, interesting work, and opportunities for personal development.
Who We're Looking For
We are seeking an experienced HPC Administrator with a strong background in Linux systems administration, HPC environments, and workload scheduling platforms such as PBS Professional or Slurm. The ideal candidate is comfortable supporting engineering and research teams, managing GPU-enabled infrastructure, automating operational processes, and maintaining highly available, secure computing environments that support mission-critical workloads.
Responsibilities
- Administer and maintain Altair Access, PBS Professional, and Slurm workload scheduling environments
- Manage user onboarding, account provisioning, queue access, and resource allocation policies
- Install, configure, and support engineering applications including ANSYS, STAR-CCM , SIMPACK, Simufact, Tacoma, and related software platforms
- Monitor cluster health, performance, job execution, storage utilization, and overall system capacity
- Maintain and support GPU infrastructure, including NVIDIA drivers, CUDA toolkits, and fabric management services
- Perform operating system patching, firmware upgrades, security remediation, and vulnerability management activities
- Troubleshoot hardware, software, application, networking, storage, and job scheduling issues
- Support containerized workloads and AI/ML environments utilizing GPU resources
- Coordinate support activities with technology vendors including Dell, NVIDIA, Altair, Ansys, and other strategic partners
- Develop automation solutions and infrastructure-as-code practices to improve operational efficiency and consistency
- Ensure compliance with cybersecurity and regulatory requirements, including CMMC, NIST 800-171, and export control standards
- Provide technical guidance to engineering and research teams regarding application performance, resource utilization, and HPC best practices
- Participate in capacity planning, architecture reviews, hardware refreshes, and future HPC expansion initiatives
- Collaborate with cross-functional teams to maintain a reliable, secure, and high-performing computing environment
- 7 years of experience administering Linux systems in enterprise or HPC environments
- Experience supporting High Performance Computing (HPC) infrastructure and clustered computing environments
- Hands-on experience with PBS Professional, Slurm, or similar workload schedulers
- Strong knowledge of Red Hat Enterprise Linux (RHEL) or comparable Linux distributions
- Experience supporting engineering and simulation applications in a research or engineering environment
- Experience administering GPU-based computing platforms, including NVIDIA GPUs and CUDA
- Proficiency with scripting and automation using Python, Bash, or similar technologies
- Experience with container technologies such as Docker, Podman, or Kubernetes
- Strong understanding of storage, networking, system performance tuning, and troubleshooting
- Familiarity with infrastructure automation and configuration management practices
- Knowledge of cybersecurity principles, vulnerability remediation, and enterprise compliance requirements
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to communicate effectively with technical and non-technical stakeholders
- Experience working collaboratively within engineering, research, or scientific computing environments
The work hours will be approximately 8:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required. Salary dependent upon experience.