Senior HPC Cluster Administrator – Deep Learning Frameworks

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Own the full lifecycle of GPU compute clusters — procurement, provisioning, configuration management, monitoring, and deprecation — across heterogeneous Linux environments (DGX, HGX, embedded systems) • Design and scale storage solutions (NFS, Lustre, WekaFS, or equivalent) with a clear roadmap for capacity and performance growth • Lead automation of infrastructure using modern IaC tools (Ansible, Terraform) and CI/CD pipelines (GitLab) • Manage and optimize job scheduling via Slurm, including fair-share policies, reservation management, and MIG/GPU partitioning strategies • Maintain and improve observability stacks (Prometheus, Grafana, DCGM) and drive proactive resolution of hardware and software incidents • Collaborate with ML engineers and software teams to tune cluster configuration for large-scale distributed training workloads • Evaluate and introduce new technologies — networking fabrics (InfiniBand, NVLink, EFA/RDMA), storage tiers, container runtimes — to improve performance and reliability • Mentor junior engineers and contribute to team-wide engineering standards

🎯 Requirements

• BS/MS in CS, EE, CE, or equivalent hands-on experience • 5+ years of experience deploying and administering large-scale HPC or ML training clusters • Deep expertise in Linux systems administration at scale • Strong scripting and automation skills in Python and/or bash • Hands-on experience with Slurm (scheduling, accounting, cgroup configuration) • Proficiency with configuration management and IaC (Ansible required; Terraform a plus) • Experience with container technologies (Docker, Apptainer/Singularity, Kubernetes) • Solid understanding of high-speed networking (InfiniBand, RoCE, RDMA, EFA) • Experience with distributed/parallel filesystems and storage architecture • Ability to own problems end-to-end and communicate clearly with engineering and management stakeholders