IT Manager

Position Summary:

Rutgers, The State University of New Jersey is seeking an IT Manager for the OIT - Enterprise Infrastructure. This position reports to the Director, Enterprise Infrastructure ( OIT ). Among the key duties of this position are the following: Leads the team responsible for Rutgers High-Performance Computing (HPC) platforms and closely related infrastructure. Oversees day-to-day reliability and long-term evolution of clustered compute, GPU resources, high-performance storage, and the scheduler/tooling that support research at scale. Drives a culture of operational excellence and collaboration with researchers and campus IT partners. Ensures secure, performant, and cost-effective HPC services aligned to university priorities and compliance standards, while planning capacity and guiding technology roadmaps. Coordinates vendor engagements to build a future-ready research computing ecosystem.

Minimum Education and Experience:

Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 7 years of experience in IT systems administration/engineering, including direct experience with hardware, virtualization technologies, various operating systems, and production support of clustered or large-scale environments. This experience must include at least 3 years of team lead experience.

City:

Piscataway State:

NJ Equipment Utilized:

HPC Cluster Hardware:

Experience with HPC server platforms including dense compute, GPU /accelerator, and large-memory nodes from vendors such as Lenovo, Dell, and HPE , along with rack-scale power, cooling, and cabling considerations common in research data centers.

High-Speed Interconnects and GPUs:

Hands-on experience with InfiniBand fabrics (subnet management, fabric configuration, and performance tuning) and NVIDIA GPUs/accelerators with associated drivers and libraries ( CUDA , NCCL ) in clustered environments. Linux at

Scale and Cluster Provisioning:

Proficiency managing enterprise Linux (Red Hat Enterprise Linux, etc.) and cluster provisioning and imaging tools such as Warewulf, combined with Ansible-based configuration management and automation for consistent node deployment and lifecycle management.

Parallel and Research Storage:

Experience with parallel filesystems such as IBM Spectrum Scale ( GPFS ) and Lustre, along with NFS for home and project directories, tiered storage, snapshots, quotas, and research data backup and disaster recovery tools.

Schedulers and Workload Management :

Expertise with Slurm (including accounting, QoS, fair-share, partitions, and reservations) and familiarity with alternatives such as PBS Pro/OpenPBS and LSF used in research computing environments.

Research Software Environments and Containers:

Proficiency with scientific software environment tools such as Lmod, EasyBuild, and Spack, and container runtimes for HPC such as Apptainer/Singularity to support reproducible research workflows.

Monitoring, Automation, and Identity Services:

Proficiency with monitoring and utilization tools (e.g., Prometheus/Grafana, XDMoD, Ganglia), configuration management and automation (e.g., Ansible, Git), and shared authentication services ( LDAP /Active Directory, Kerberos) used to operate multi-tenant research computing environments.

Collaboration and Ticketing Tools:

Proficiency with office productivity, ticketing, and collaboration platforms such as Microsoft Office Suite, Microsoft Teams, Slack, Jira or ServiceNow, and documentation and knowledge-base systems used to coordinate operations and engage with the research community.

Physical Demands and Work Environment:

Ability to work with personal computer for 8 hours a day. Participate in online and in-person meetings. Light local travel to visit locations housing Enterprise Infrastructure equipment.

Salary:

Maximum salary is $150,000

Posting Number:

26ST1084