Aktiviere Job-Benachrichtigungen per E-Mail!

EMEA Research Lab - Senior Research Engineer (f/m/d)

Hewlett Packard Enterprise Development LP

München

Hybrid

EUR 70.000 - 100.000

Vollzeit

Vor 12 Tagen

Erhöhe deine Chancen auf ein Interview

Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.

Zusammenfassung

Hewlett Packard Enterprise is seeking a Senior Research Engineer to join their EMEA Research Lab in Munich. This hybrid position involves developing advanced software for high-performance computing (HPC) and collaborating with leading research partners. Candidates should have strong programming skills in C, C++, Fortran, and Python, along with professional language proficiency in English and German. The position offers a competitive salary, flexible working hours, and opportunities for education and career growth.

Leistungen

Competitive salary and benefits
Flexible work hours
30 vacation days
Support for education and training
Wellness Fridays

Qualifikationen

  • Development experience in C, C++, Fortran, and Python.
  • Parallel programming experience with OpenMP, MPI, CUDA.
  • Professional proficiency in English and German.

Aufgaben

  • Enabling high-performance research software on supercomputers.
  • Managing data-intensive workloads in high-performance environments.
  • Collaborating on short- and long-term HPC projects.

Kenntnisse

Development experience in C
Development experience in C++
Development experience in Fortran
Development experience in Python
Parallel programming experience
Understanding of AI/ML frameworks
Professional proficiency in English
Professional proficiency in German

Ausbildung

B.Sc. in STEM discipline
M.Sc. or Ph.D. in STEM fields

Jobbeschreibung

EMEA Research Lab - Senior Research Engineer (f/m/d)

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We value varied backgrounds and offer flexibility to manage work and personal needs. We make bold moves, together, and are a force for good. If you are looking to grow your career, our culture will embrace you. Open up opportunities with HPE.

Job Description:

Would you like to perform world-class research while shaping future products? Are you interested in collaborating with esteemed research partners across Europe?

Key questions include:

  • Enabling high-performance research software on pre-Exascale and Exascale supercomputers.
  • Providing new environments/abstractions for application developers to utilize leading-edge hardware at scale.
  • Making HPC/AI systems and datacenters sustainable.
  • Managing modern data-intensive workloads in high-performance environments.

The HPE HPC & AI EMEA Research Lab (ERL) combines industrial research and tech development using Agile/Lean methodologies. Our highly technical team comprises software and research engineers from diverse backgrounds.

ERL is part of Hewlett Packard Labs, based in Milpitas, California, dedicated to delivering breakthrough technologies and advancements that give HPE a competitive edge.

We are:
  • An international research team within a major global HPC company.
  • Experts in HPC/AI and related disciplines.
  • A blend of quality research and real software development.
  • Engaged in projects like Horizon Europe and Destination Earth.

We seek someone flexible to work on short- and long-term projects aligned with high-end HPC activities at Leibniz Rechenzentrum Munich (LRZ), capable of independent and collaborative work, eager to learn new technologies, and able to communicate effectively.

You should have:
  • Development experience in C, C++, Fortran, and Python.
  • At least a B.Sc. in a STEM discipline.
  • Parallel programming experience with OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages.
  • Understanding of AI/ML frameworks like TensorFlow or PyTorch is desirable.
  • Interest in system and data center monitoring and data analysis.
  • Professional proficiency in English and German.
Your personal skills include:
  • Strong team spirit and independence.
  • Effective self and team representation.
  • Enjoyment in tackling complex challenges.
Valuable qualities:
  • Team-based development skills.
  • Effective communication with diverse stakeholders.
  • Ability to combine technical and big-picture thinking.
Additional qualifications:
  • M.Sc. or Ph.D. in STEM fields.
  • Experience with domain-specific software ecosystems.
  • EU project experience.
  • Experience with HPC and/or cloud applications.
  • Experience in research consortia.

You will be involved with the LRZ “Blue Lion” supercomputer, focusing on workload optimization and sustainability, especially regarding GPU usage and AI, and helping applications target next-generation platforms. Opportunities include working on data-centric application coupling, secure HPC, operational analytics, and more.

Location: Munich, Berlin, or flexible elsewhere in Germany.

We offer:

  • Competitive salary and benefits, including pension, insurance, leasing options, and more.
  • Flexible work hours, hybrid model, 30 vacation days, Wellness Fridays, parental leave.
  • Support for education, training, and career growth.
  • Diverse, dynamic environment.

Part-time work and job-sharing are available.

HPE is:

  • Ranked highly in the Women’s Career Index Germany, Pride Index Germany, Fortune’s Best Workplaces, and others.
  • Committed to diversity and inclusion, with policies supporting veterans, disabled persons, and LGBT individuals.

Stay connected with us on social media:

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.