Data Platform Engineer for the European AI Factory HammerHAI

• Developing and maintaining the data facility of the AI Factory including its software environments in the context of AI, HPC and data analytics use cases for modern AI, high-performance and cloud computing systems
• Contributing to the initial (and evolving) service portfolio of the AI Factory within a friendly and open work environment in a highly motivated, international team with opportunities to contribute with your own ideas
• Supporting and enabling customers to publish, access and share their own AI data sets and models
• Fostering contact with collaboration partners as well as stakeholders from the European AI ecosystem, relying on your friendly personality and communication skills
• Opportunities to work with national and European partners on novel AI R&D projects from the private and academic sectors
• Maintaining relationships with technology providers and system developers (software/hardware)

• PhD or Master’s degree in computer or data science, or other areas of scientific computing, or a Bachelor’s degree with multiple years (>3) of applied data platform development / engineering / deployment experience and/or working with AI data management workflows ideally as senior engineer in research or enterprise environments

Other Requirements

• Proficiency working in data center environments (incl. Linux, Git, Gitlab)
• Willingness to keep up with current developments and to learn new technologies in the field of AI
• Extensive knowledge and experience in developing and working with data platforms including their backend components in the context of AI, HPC and data analytics use cases (preferably piveau, www.piveau.de)
• Extensive knowledge about and practical skills in specifying and implementing FAIR-aligned (Findable, Accessible, Interoperable, Reusable) data management workflows
• Knowledge and experience in developing integration layers for connecting data infrastructure with external data platforms, preferably through metadata standards
• Knowledge about and practical skills in secure and compliant data management, including AI models as well as data privacy standards and legislation
• Excellent English and preferably German presentation and writing skills

Additional and Preferred Qualifications

• Knowledge and experience with dataspaces, ideally within the Common European Data Space initiative
• Knowledge and experience in software deployment and software lifecycle management (ideally based on principles of continuous integration/continuous deployment, CI/CD)
• Basic knowledge and practical skills in software design and engineering
• Basic knowledge and practical skills in IT and cybersecurity for software and software platform development
• Experience with agile development methods

Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership

What you can expect at LRZ:

Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).

Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.