Senior High Performance Computing Engineer

About the role

We are investing $45 million in an NVIDIA DGX SuperPOD to support cutting‑edge AI research across the Texas A&M System. As a Senior High Performance Computing Engineer you will provide technical expertise for designing, deploying and operating large‑scale HPC systems.

Key responsibilities

• Manage large‑scale HPC cluster operations, including OS upgrades, firmware patching and performance tuning.
• Oversee networking, security and infrastructure for HPC environments.
• Lead development of specialized HPC computing clouds and scalable storage solutions.
• Collaborate with stakeholders to design service‑based solutions and act as a strategic technical resource.
• Lead enterprise‑wide HPC projects following established project‑management protocols.
• Mentor junior system administrators and enforce performance standards.

Required profile

• Bachelor’s degree in a relevant field or equivalent experience.
• 12 + years of experience in high‑performance computing or related domains.
• U.S. citizenship, permanent residency or approved asylum/refugee status.

Required skills

• High‑Performance Computing (HPC) environments.
• Advanced Linux system administration.
• Computer networking concepts and protocols.
• Container orchestration (Kubernetes) and Run:ai for AI workload management.
• Slurm workload manager.
• Experience with NVIDIA DGX systems.
• Virtualization technologies and IaaS platforms.
• DDN and network‑attached storage solutions.
• Scalable supercomputing architectures, interconnects and storage systems.
• Scripting languages: Python, Bash, Perl.
• Scientific computing frameworks: MPI, OpenMP, CUDA.
• Configuration management tools: Ansible, Puppet.

What we offer

• Competitive salary $130‑140 k annually.
• Opportunity to work on a state‑of‑the‑art AI supercomputing platform.
• Collaborative environment within Texas A&M University’s Technology Services.