Senior HPC AI Cluster Architect

CH01 NVIDIA Switzerland AG; Schweiz; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

NVIDIA Switzerland AG is seeking an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. You will design and operate large-scale HPC/AI clusters, manage job scheduling with Slurm and Kubernetes, and build CI/CD pipelines for deployment and automation.

You will work with cutting-edge GPU computing tech and collaborate with researchers, developers and customers on optimized workflows and novel solutions.

Qualifikationen

• Degree in Computer Science or Engineering with 8+ years of experience.
• Experience with HPC and AI solution technologies from CPU/GPU to high-speed interconnects.
• Proficient in job scheduling workloads and orchestration tools like Slurm and Kubernetes.
• Strong Windows and Linux networking knowledge and OS security fundamentals.
• Experience with Lustre/GPFS or similar storage; Python and Bash scripting.
• Familiarity with cloud platforms (AWS, Azure, GCP) and virtualization (VMware/KVM/Hyper-V).

Aufgaben

• Design, implement and maintain large-scale HPC/AI clusters with monitoring and alerts.
• Manage Linux job/workloads and orchestration tools; develop CI/CD pipelines.
• Develop tooling for deployment/management of large infrastructures and self-service resources.
• Deploy server/network/storage monitoring; perform bottom-up troubleshooting.
• Document standard methodologies; support R&D activities and POCs/POVs.

Kenntnisse

HPC/AI clustering

Slurm orchestration

Kubernetes

Python scripting

Linux/Windows networking

CI/CD pipelines

Automation tools

Networking protocols

Ausbildung

Bachelor's or Master’s in CS/Engineering

Tools

Jenkins

Ansible

Puppet

Chef

VMware

KVM

Hyper-V

Citrix

Docker

Jobbeschreibung

NVIDIA Switzerland AG is seeking an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. You will design and operate large-scale HPC/AI clusters, manage job scheduling with Slurm and Kubernetes, and build CI/CD pipelines for deployment and automation.

You will work with cutting-edge GPU computing tech and collaborate with researchers, developers and customers on optimized workflows and novel solutions.