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HPC Application Performance Analyst (HLRS_21_2026)

Höchstleistungsrechenzentrum Stuttgart (HLRS) -
Stuttgart

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenfahrrad-Leasing
Gleitzeit
Flexible Arbeitszeiten

Qualifikationen

Fortran
GitHub
Führungserfahrung

Vollständige Stellenbeschreibung

As one of Europe's leading facilities for high-performance computing, HLRS is a diverse community of scientists, engineers, and other professionals focused on discovering and developing new applications of powerful digital technologies and computer science methods.

The High-Performance Computing Centre Stuttgart (HLRS) was founded as Germany's first federal high-performance computing (HPC) center. It operates one of the fastest supercomputers in the world. It offers various HPC solutions and services for universities, research institutions, and industry. HLRS is a worldwide leader in engineering and global system sciences. Furthermore, HLRS is dedicated to its own research in the fields of high-performance computing, in particular the development of parallel programming models and tools, and is recognised as one of the world’s leading centres in this field. In this context, HLRS is significantly involved in international and national research projects across the abovementioned research areas.

In the area of application performance analysis we offer a position in an international project as

HPC Application Performance Analyst

m/f/x, TV-L 13, 100%

HLRS_21_2026

Your Tasks:

As a member of the group “Scalable Programming Models & Tools” you will analyze the performance of user codes, formulate recommendations for performance optimization, develop efficient optimization strategies, and assist users to implement these recommendations.

Requirements for a successful application are:

A university degree in a natural science, engineering, mathematics or computer science
Good knowledge and experience with the usage of Linux systems
Experience with performance analysis of HPC applications
Experience with HPC programming models, e.g. MPI, OpenMP, CUDA, etc.
Good knowledge and experience with C, C++, or Fortran
Very good command of English, spoken and written

Ideal candidates additionally have:

Very good knowledge in the use of HPC systems
Experience with HPC performance analysis tools, e.g. Vampir, Scalasca, Paraver
Experience with the parallelisation and optimisation of HPC applications
Experience in collaborative software development with Github/Gitlab, as well as CI/Jenkins, etc.
Good command of German, spoken and written

What we offer:

A professional working environment in a friendly, highly motivated and collaborative international team.
Flexible working hours with a flextime model and the possibility of compensating for time off in addition to the regular 30 days of vacation.
Flexible work hours with currently up to 60% home office (upon request).
Attractive social benefits of the public service.
Subsidy of €25 per month for public transport and the possibility of job bike leasing.
Use the wide range of further education and training opportunities (e.g., soft skills, languages, specialist courses, leadership seminars) and the sports offers of the University of Stuttgart.
Fixed-term employment with salary and working conditions up to TV-L13.

This is a temporary position. Employment is limited in accordance with the legal regulations to the project's duration, which is 31.12.2029. The salary for this position is based on your personal qualifications up to the level of TV-L 13.

Do you have any questions about the job? If so, please send an email to contact_spmt(at)hlrs.de

Are you interested?

If so, we look forward to receiving your detailed application!

Please send us your application, including a motivation letter, resume, certificates and references, stating the reference number of the position “HLRS_21_2026” in the subject line, by e-mail to:

bewerbungen(at)hlrs.de,

no later than 31 August 2026, as a single PDF file.

The University of Stuttgart invites women to apply for this job opening to strengthen the presence of female workers in the scientific areas. Full-time positions may generally be turned into part-time positions. Disabled people will have priority as long as they are equally qualified. The central administration of the University of Stuttgart will handle the recruitment process.

Information on the handling of applicant data following Art. 13 DS-GVO can be found at: https://www.uni-stuttgart.de/datenschutz/bewerbung/.

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Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in steinenbronn, bw erhalten

Weitere Job-Standorte erkunden

HPC Application Performance Analyst

m/f/x, TV-L 13, 100%

HLRS_21_2026

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