HPC Engineer Traineeship (Erasmus+ Candidates Only)

HPC Engineer Traineeship (Erasmus+ Candidates Only)

Engineering and/or Technology, Mathematics and/or Informatics, Natural Sciences

This is a Digital Opportunities Traineeship (DOT). If you want to apply for this internship, please remember that you have to be a student or recently graduated based in one of the 33 Programme Countries participating in Erasmus+ or the Horizon 2020 Associated Countries.
Before applying for a Digital Opportunity Traineeship, we encourage you to check with your university if you are eligible for Erasmus+ traineeship. You can read more about DOTs on our information page.

General information

Duration: 5 – 6 months

Commitment: Full-time, 35 h/week (10:00 – 17:00)

Location: Via Casilina 3T, Rome, Italy

Mode: On-site / partial remote work / full smart working

Description

We offer a technical traineeship in High-Performance Computing for the BIO-DRIVEN system, a multi-layer platform that models and optimises biological ecosystems. The trainee will shape HPC workflows, benchmark and tune CPU/GPU jobs, and automate deployment to ensure models run efficiently from development to production.

Qualifications

Enrolled in or recently graduated from a Master’s programme in Computer Science, Computational Engineering, Physics, Data Science, or a related field.

Technical Skills

• Write clean code in Python and C/C++ or Fortran.
• Use MPI, OpenMP, or CUDA for parallel or GPU programming.
• Operate job schedulers such as SLURM and container tools like Docker or Singularity.
• Work comfortably in Linux, Git, and basic CI/CD.
• Apply profiling and optimisation techniques to HPC workloads.

Learning & Development

Show strong interest in scaling AI/ML workloads from laptop to cluster. Solve low-level issues independently and document findings clearly.

Collaboration & Communication

Present benchmark results and optimisation recommendations to data scientists and project managers. Coordinate with infrastructure and application teams to embed HPC best practices into the BIO-DRIVEN stack.

Daily Tasks

• Benchmark and profile training and inference jobs on CPU/GPU nodes.
• Implement optimisations such as mixed precision and communication overlap.
• Automate job submission, monitoring, and reporting through scripts and CI pipelines.
• Package models and dependencies into portable containers for cross-environment deployment.
• Maintain run-books that capture optimisations, test cases, and troubleshooting steps.

How to Apply

Submit your CV and Cover Letter, indicating your preferred internship period. Name the file accordingly.