Senior HPC-AI Systems Architect (Equity)

Nvidia Corporation in; Santa Clara (CA); On-site; USD 176,000 - 334,000; Full time

Job summary

NVIDIA is seeking an experienced Senior HPC-AI Cluster Engineer to join the Networking Clusters Solutions Infrastructure team in Santa Clara. You will design and scale large HPC/AI clusters, manage job scheduling, and develop CI/CD pipelines for fast, reliable AI workloads.

You will work across Linux/Windows environments, implement automation, monitor infrastructure, and support R&D initiatives to push the boundaries of GPU computing and AI systems.

Qualifications

• A degree in Computer Science, Engineering, or a related field (or equivalent experience) and 8+ years of experience.
• Knowledge of HPC and AI solution technologies from CPU's and GPU's to high speed interconnects and supporting software.
• Experience with job scheduling workloads and orchestration tools such as Slurm, K8s.
• Excellent knowledge of Windows and Linux networking and internals and OS level security.

Responsibilities

• Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting.
• Manage Linux job/workload schedules and orchestration tools
• Develop and maintain continuous integration and delivery pipelines
• Develop tooling to automate deployment and management of large-scale infrastructure environments
• Deploy monitoring solutions for the servers, network and storage
• Perform troubleshooting bottom up from bare metal to application level
• Develop, redefine and document standard methodologies for internal use
• Support R&D activities and engage in POCs/POVs for future improvements

Skills

HPC/AI cluster design

Linux system administration

Job scheduling (Slurm, K8s)

Networking (InfiniBand, Ethernet)

Python scripting

Automation tools (Jenkins, Ansible, Pu

Education

Bachelor's degree in Computer Science or Engineering

Tools

Slurm

Kubernetes

VMware/Hyper-V/KVM

GPFS/Lustre

Job description

NVIDIA is seeking an experienced Senior HPC-AI Cluster Engineer to join the Networking Clusters Solutions Infrastructure team in Santa Clara. You will design and scale large HPC/AI clusters, manage job scheduling, and develop CI/CD pipelines for fast, reliable AI workloads.

You will work across Linux/Windows environments, implement automation, monitor infrastructure, and support R&D initiatives to push the boundaries of GPU computing and AI systems.