HPC & AI Cloud Infrastructure Engineer

CDS, an HPE company; Cernusco Lombardone; On-site; EUR 90,000 - 120,000; Full time

Job summary

CDS, an HPE company, is seeking an HPC & AI Infrastructure Engineer to design, implement and manage HPC and cloud infrastructures for AI/ML workloads on an international team.

The role combines HPC system administration with DevOps/CloudOps to keep computing systems scalable, performant and secure. You will optimize clusters, automate deployment, and collaborate with data scientists and engineers to enable cutting-edge AI research.

Qualifications

• Requires Master’s degree or PhD in CS/Engineering or related field.
• Proven experience in designing and managing HPC clusters including GPU-based environments (CUDA/NVIDIA).
• Strong Linux, scripting, and familiarity with CI/CD and IaC (Ansible/Terraform).

Responsibilities

• Design, configure, and maintain HPC infrastructures and cloud environments for AI/ML workloads.
• Optimize CPU/GPU clusters, high-speed networking, and parallel storage.
• Automate deployment, monitoring, and management with Infrastructure as Code.
• Integrate orchestration tools (Kubernetes, Slurm, PBS) to manage distributed workloads.
• Support users and research teams in running AI/HPC applications.
• Collaborate with DevOps, data scientists, and system engineers to ensure performance and security.
• Develop and maintain scripts and backend APIs to support infrastructure operations.

Skills

HPC

AI/ML infra

Linux

DevOps

Scripting Python

CI/CD

Networking

Security

Education

Master’s degree or PhD in CS/Engineering

Tools

CUDA

NVIDIA stack

Slurm

PBS

Docker

Kubernetes

Ansible

Terraform

GitHub Actions

Jenkins

AWS

Azure

GCP

Job description

CDS, an HPE company, is seeking an HPC & AI Infrastructure Engineer to design, implement and manage HPC and cloud infrastructures for AI/ML workloads on an international team.

The role combines HPC system administration with DevOps/CloudOps to keep computing systems scalable, performant and secure. You will optimize clusters, automate deployment, and collaborate with data scientists and engineers to enable cutting-edge AI research.