HPC System Engineer

Università Bocconi · Milano, Lombardia, Italia ·


Descrizione dell'offerta

HPC Engineer

We’re looking for an HPC Engineer to accelerate world-class research. You’ll help research teams launch projects, select and adopt scientific software, and operate a modern HPC environment (on-prem and third-party/cloud).

What you optimize will speed up science for many people.

Mission

  • Researcher enablement: onboard projects, guide scientific software selection/adoption, and manage licensing.
  • HPC operations: set up, administer, allocate resources, and optimize the on-prem cluster.
  • Cloud/third-party HPC: manage providers and enable bursting when needed.
  • Monitoring & reporting: track usage/performance and produce clear reports for data-driven decisions.
  • Scouting & experimentation: evaluate new HPC solutions and propose platform improvements.
  • Documentation & policy: publish quick guides, procedures, and usage/priority policies.

What you’ll do

  • Partner with PIs and research teams to stand up and tune CPU/GPU workflows.
  • Maintain and improve the HPC stack (scheduler, environment modules, license services, storage, logging).
  • Enable secure, multi-user Jupyter access with sensible resource caps.
  • Deliver regular usage/performance reports to support capacity planning and fair allocation.

Minimum requirements

  • STEM PhD or equivalent hands-on experience working with research groups/academic environments.
  • Proven experience using and administering HPC infrastructures.
  • Fluent English; clear communicator; outcome-oriented.
  • Strong in most of: Linux & shell scripting; Python (NumPy, SciPy, Pandas, scikit-learn, Matplotlib); C; multithreading and multi-node computing; MPI; GPU optimization for neural networks; Jupyter; basic data-science workflows.

Nice to have

  • Experience with schedulers (e.g., SLURM/PBS), containers (Apptainer/Singularity; Docker for builds), environment modules, license management (e.g., FlexLM), and accounting/quotas.

What you’ll find here

  • Real impact on research outcomes—your work shortens time-to-insight.
  • Access to advanced HPC technologies and room to experiment.
  • An international, collaborative environment with high standards and curiosity.

Candidatura e Ritorno (in fondo)