Senior HPC-AI Cluster Architect (Equity)

NVIDIA

California (MO)

On-site

USD 176,000 - 334,000

Full time

14 days+

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Job summary

NVIDIA is seeking an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. You will design and run large-scale HPC/AI clusters, manage job workloads with Slurm and K8s, and automate deployment via CI/CD pipelines.

You’ll work with researchers and customers to craft workflows and advanced solutions, across Linux/Windows, networking, storage and virtualization layers. Base salary varies by level (approximately 176k–276k USD for Level 4 and 208k–333.5k USD for

Qualifications

Degree in CS or Engineering or equivalent experience; 8+ years in HPC/AI compute.
Knowledge of HPC/AI tech from CPU/GPU to high-speed interconnects.
Experience with job scheduling/workloads and orchestration tools like Slurm and K8s.
Excellent Windows/Linux networking knowledge and OS security basics.
Experience with Lustre/GPFS/Weka.io storage technologies.
Python and Bash scripting experience.
Comfort with Jenkins/Ansible/Puppet/Chef for automation.
Deep knowledge of InfiniBand and Ethernet networking protocols.
Experience with virtualization (VMware/Hyper-V/KVM/Citrix).
Familiarity with cloud platforms (AWS/Azure/Google Cloud).

Responsibilities

Design, implement and maintain large scale HPC/AI clusters with monitoring and alerting.
Manage Linux job/workload schedules and orchestration tools.
Develop and maintain CI/CD pipelines.
Create tooling to automate deployment and management of large-scale infra.
Deploy monitoring for servers, network and storage.
Troubleshoot from bare metal to application level.
Document standard methodologies for internal sharing.
Support R&D, engage in POCs/POVs for future improvements.