Hpc & Ai Infrastructure Engineer

Cds, A Hewlett Packard Enterprise Company; Lazio; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

An international technology firm is seeking an Infrastructure Engineer in Italy to design and manage HPC environments supporting AI and Machine Learning applications. Candidates should have a Master’s or PhD in a relevant field and strong experience with HPC technologies, Linux, and DevOps practices. The role includes optimizing cloud infrastructures and automating processes with scripting. The firm prioritizes equal opportunity and encourages diverse applicants.

Competenze

• Proven experience in designing and managing HPC clusters.
• Familiarity with cybersecurity best practices.
• Good understanding of high-performance storage.

Mansioni

• Design, configure, and maintain HPC infrastructures and cloud environments.
• Optimize CPU / GPU clusters and high-speed networking.
• Automate deployment and management processes.

Conoscenze

System administration in HPC environments

DevOps / CloudOps

Scripting (Python)

Knowledge of Docker and Kubernetes

Expertise in Linux

High-performance networking

Formazione

Master’s degree or PhD in Computer Science, Engineering, or related field

Strumenti

CUDA and NVIDIA stack

Cluster management tools (Slurm, PBS)

CI / CD tools (Jenkins, GitHub Actions)

Infrastructure as Code (Ansible, Terraform)

Cloud environments (AWS, Azure, GCP)

Descrizione del lavoro

Role Overview

We are looking for an Infrastructure Engineer to join our international team. The successful candidate will be involved in the design, implementation, and management of HPC and cloud infrastructures supporting large-scale AI and Machine Learning applications.

The ideal candidate combines strong system administration skills in HPC environments with a solid background in DevOps / CloudOps, helping to ensure our advanced computing systems and workflows are scalable, performant, and secure.

Tasks

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

Required Skills and Attributes

• Master’s degree or PhD in Computer Science, Engineering, or a related field.
• Proven experience in designing and managing HPC clusters, including GPU‑based environments and technologies such as CUDA and the NVIDIA stack.
• Knowledge of cluster management tools (e.g., Slurm, PBS, etc.).
• Strong expertise in Linux.
• Experience with containers and orchestration (Docker, Kubernetes).
• Proficiency in scripting (Python).
• Familiarity with CI / CD tools (Jenkins, GitHub Actions) and Infrastructure as Code (Ansible, Terraform).
• Good understanding of high‑performance networking and storage.
• Knowledge of cloud environments (AWS, Azure, GCP).
• Awareness of cybersecurity best practices.

Contact & Compliance

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CDS supports and applies the principle of equal opportunity. We recruit and retain the most qualified individuals, regardless of race, ethnicity, religion, gender, sexual orientation, age, or disability.

HPC AI Infrastructure Engineer • Rome, ITALY