Senior Linux and GPU Infrastructure Specialist
Core
Design, deploy, and manage high-performance computing environments for academic research and teaching, integrating enterprise identity and storage systems.
Role type
Senior Linux and GPU Infrastructure Implementation Specialist
Builds
Production AI computing centers and specialized research environments
Domain
Higher Education / High-Performance Computing
Deliverable
infrastructure
Required skills
Linux (Ubuntu), NVIDIA GPU stacks, Slurm, Active Directory/SSSD, NFS/CIFS, Python, shell scripting, automation development
Preferred skills
ARM64 compatibility, DGX OS, rootless Podman, fleet management tools (Canonical Landscape, Ubuntu Pro), multi-user teaching environment design
Technologies
AI, CUDA, Open OnDemand, JupyterLab, SSO
Responsibilities
Coordinate with enterprise engineering teams and university stakeholders to review delivery plans and address deployment risks; Design and implement specialized computing environments for a university client; Develop and deploy Python or shell-script automation to improve system management; Lead the operational handoff and provide on-site training for university technical staff and faculty users; Perform remote engineering work and travel to the university campus for key deployment milestones
