HPC Software Intern: Compilers, Libraries & Tools

SiPearl; Maisons-Laffitte; On-site; EUR 9,500 - 13,000; Full time

Job summary

SiPearl in Maisons-Laffitte is seeking a final-year engineering or MSc student to join the HPC software team as an internship. You will work on libraries compatibility with the Rhea1 architecture, validate features of open-source and internal libraries, and implement optimizations.

You'll gain hands-on experience in parallel programming, SVE vectorization, performance analysis, and testing HPC codes, collaborating with experienced engineers across international teams.

Qualifications

• Final-year engineering student or Master’s degree student in Computer Science, Software Engineering, HPC or related field.
• Strong interest in processor architectures, parallel programming and software optimization.
• Analytical, rigorous and proactive, with good problem-solving skills.
• Ability to work independently and collaboratively in an international environment.
• Good understanding of C/C++ (Fortran is a plus).
• Knowledge on MPI, OpenMP, SIMD.
• Knowledge of CPU architecture (ARM architecture is plus).
• Basics of CI and Linux.

Responsibilities

• Ensuring the libraries compatibility with the Rhea1 architecture.
• Ensure full support for the features of open-source and internal libraries.
• Propose and implement optimizations.
• Track issues, features and bugfixes in these libraries and provide patch(s).
• Evaluate and validate work through testsuites, benchmarks and HPC codes (in collaboration with the Benchmarks teams). Possibility to upstream some patches if necessary.

Skills

C/C++

MPI

OpenMP

SIMD

ARM architecture

Linux

CI

Education

Final-year engineering student or Master's degree student in Computer Science, Software Engineering, HPC or related field

Tools

Linux

CI

Job description

SiPearl in Maisons-Laffitte is seeking a final-year engineering or MSc student to join the HPC software team as an internship. You will work on libraries compatibility with the Rhea1 architecture, validate features of open-source and internal libraries, and implement optimizations.

You'll gain hands-on experience in parallel programming, SVE vectorization, performance analysis, and testing HPC codes, collaborating with experienced engineers across international teams.