RSE HPC Programming (all genders)

The German Climate Computing Centre (DKRZ) is the central simulation and data processing facility for the German climate and Earth system modelling community and one of the leading institutions in this field worldwide. DKRZ not only operates supercomputers in the highest performance class and one of the largest data and archive systems but also participates in many national and international projects aimed at improving the software and infrastructure for climate modelling. Here we are offering a position as

Research Software Engineer (all genders)

for Earth System Modelling

We are looking for new colleagues who are passionate about high-performance computing and developing research software. Would you enjoy working in a team that improves modern climate models Do you have experience of adapting software for use on existing and future supercomputers Would you like to apply your knowledge of AI to science and support others in this field If so DKRZ could be the right place for you.

Tasks

As an Earth System Modelling support team we are committed to pushing the boundaries of Earth System Modelling (ESM) and climate research. Joining our team offers the opportunity to work closely with other highly skilled Research Software Engineers (RSEs) in an environment that encourages flexibility and innovation. Our RSEs are strategically located between German and European HPC centres and colleagues in scientific research. The working day includes

Collaboration with Earth system scientists and climate researchers addressing technical challenges in HPC AI and software development

Provision of expertise as a service to scientists over a period of up to 6 months adapting to evolving needs and fostering dynamic solutions

Work closely with other RSEs and scientists ensuring efficient project implementations within tight timeframes focusing on ESM development for current and future HPC systems

To be successful in this role you should have a burning interest in interdisciplinary Earth system modelling and be keen to apply your HPC or AI programming expertise to take on new challenges.

Qualifications / Experiences

As the requirements of our project partners and customers are varied we do not expect applicants to meet all of the following criteria. A clear profile and focus on a specific topic can also be very helpful.

• Academic degree in computational science applied mathematics or equivalent training and knowledge
• Strong experience in parallel programming for HPC systems (MPI OpenMP)
• Experience in GPU programming using standards like CUDA HIP or OpenACC
• Experience in using machine learning methods in a scientific HPC environment
• Confident handling of tools such as Git Spack shell scripting
• Very good communication skills and knowledge of English

Employment conditions

We offer work in interdisciplinary teams and excellent connections to national and international research addition to specific implementation and support requirements from our users and project partners your work will be characterised by the freedom to work creatively at the interface between applied computer science and the development of scientific applications. Participation in international conferences project meetings and hackathons enables further training and presentation of your own results.

We are based in Hamburg but want to create a suitable working environment by offering flexible working hours and location (up to 100% work from home within Germany). Remuneration will be based on the candidates qualifications according to TVD-Bund. You can ideally start in November 2025 but the exact starting date can be agreed individually. The position is initially limited to two years with the option of a further two years following a successful review by the funding body.

Interested applicants are requested to compile a single pdf document containing a cover letter a detailed CV and any additional documents (e.g. professional references). Applications must be submitted via the portal deadline: Open until filled. Priority will be given to applications received by 30 September 2025.

Questions Hendryk Bockelmann () will be happy to answer them in advance.