Research Hpc Engineer

Whatjobs; Milano; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading research institute in Milan is seeking a Research HPC Engineer to support its growing Research Computing Infrastructure. This role involves managing and optimizing HPC clusters and data workflows for cancer research. The ideal candidate will have over 5 years of experience in HPC environments, particularly with Linux containers. Responsibilities include administering HPC clusters, optimizing workloads, and collaborating with research teams. Opportunities for professional growth are available.

Competenze

• At least 5 years of experience in HPC environments.
• Strong experience with Linux and container solutions.
• Ability to support and optimize scientific computing environments.

Mansioni

• Administer and support on-premises HPC SLURM clusters.
• Design and manage containerized environments for applications.
• Optimize compute and storage configurations for workloads.
• Support hybrid infrastructure including local and cloud environments.
• Develop automation using scripting.

Conoscenze

HPC environments

Linux

Container solutions

Scripting

Collaboration with research teams

Strumenti

SLURM

Kubernetes

Docker

Nextflow

Snakemake

Descrizione del lavoro

IFOM is an internationally recognized non‑profit cancer research institute supported by the Italian Association for Cancer Research (AIRC) based in Milan within a highly dynamic urban environment

IFOM continuous success is ensured by the recruitment of highly selected undergraduate, graduate, and post‑graduate researchers from over 24 countries worldwide

IFOM is hosted within a research campus shared with the European Institute of Oncology and the Italian Institute of Technology

IFOM is committed to creating a safe and inclusive environment, based on mutual respect and the enhancement of diversity, offering equal job opportunities to all qualified candidates

We seek for our Institute : Research HPC Engineer

About the Position

IFOM is seeking a Research HPC Engineer to support our growing Research Computing Infrastructure serving cutting‑edge cancer research programs. This position will work closely with faculty and research staff to manage and optimize scientific computing environments, including HPC clusters and specialized research servers supporting genomics, imaging analysis, and clinical data workflows, both on‑premises and in the cloud

The ideal candidate will bring strong experience and skills in HPC environments, particularly with Linux and containers solutions, and thrive in a dynamic research setting. You’ll join the Research Computing & Data Science unit with opportunities for professional growth and increasing responsibility as we expand our computational capabilities

This position plays a critical role in enabling world‑class cancer research through reliable and high‑performance computational infrastructures

We are looking for a resource with at least 5 years of experience

Candidate will be responsible for :

• Administer and support on‑premises HPC SLURM clusters and research servers;
• Design and manage containerized environments (Kubernetes, Singularity / Apptainer, Docker) for applications, services, and scientific workflows;
• Optimize compute and storage configurations for scientific workloads;
• Support hybrid infrastructure including both local and cloud‑based environments;
• Develop automation using scripting and configuration management tools;
• Contribute to system lifecycle planning, capacity management, and resource optimization;
• Provide technical support for research computing projects and scientific applications;
• Experience withscientific workflow management tools (e.G., Nextflow, Snakemake) and interest in AI‑driven computational environments will be considered an asset;
• Provide support, training, and documentation for researchers using HPC / cloud resources;
• Collaboration Interface : with IT department on infrastructure integration;
• with research teams on computational requirements;
• with computational biologists, data scientists, and bioinformaticians to support them for large‑scale data analyses;
• Maintain systemsecurity and compliance, including GDPR and regulated data types;
• Network Storage& Data