Description: You are looking for an employer you can count on? Join us! We are looking to expand our team and are hiring: Senior AI Expert (m/f/d) for AI Computing Services Your Role and Responsibilities: Taking over a role of senior responsibilities in the research activities of LRZ’s BDAI team, addressing the enhancement of current and development of future LRZ AI service offers. Here you will be initiating and contributing to research projects, their preparation, applications for funding and execution, including collaborations with national and European partners and project consortia Fostering contact with academic user communities by relying on your friendly personality, you will be providing consultancy to and collaborating with scientific users and research groups working on the forefront of AI Cooperating in a highly motivated, international team, including mentorship for junior team members, within a friendly and open work environment, with plenty of opportunities to develop your own ideas and interacting with students in training and teaching activities Shaping and actively driving ideas for scientific and infrastructure research projects with access to latest AI and high-performance computing hardware (GPUs, CPUs, AI accelerators, etc.) Advising researchers and academic users of an ever-growing AI service infrastructure in order to foster and to optimize their system usage (e.g. efficiency, multi-GPU and multi-node scalability). Backing a dedicated support team by providing second- and third-level support to these user groups relying on direct contact with technology providers and developers (hardware/software) Basic Qualifications: Required/Minimum Qualifications PhD in computer or data science, or other areas of scientific computing, with additional two or more years of research-oriented applied AI development (models, systems, workflows, etc.) and, ideally, leadership experience in research/enterprise environments or a Master’s degree in the same areas with additional five or more years of comparable experience. Other Requirements Proven experience with applications to third-party calls for funding, grant program structures as well as project management and reporting duties, ideally in a responsible role Extensive knowledge about and practical skills applying Machine Learning/AI applications, frameworks (e.g. Python, PyTorch, JAX, etc.), methods and models (e.g. model (pre-)training, fine-tuning, inference pipelines, etc.) Willingness and ambition to keep up with current developments and to learn new technologies in the field of AI Proficiency working with data center software environments (incl. Linux and tools like Git, GitLab) Excellent English and/or German writing and presentation skills Preferred Qualifications: Experience with EU projects in an active role (ideally including the application phase) Good knowledge in configuring/working with (virtualized) software environments for machine learning / AI / data analytics research, e.g. containers (Docker etc.) and/or package managers (uv, pip,Conda etc.), as well as CI/CD Experience in working with/on high performance cluster systems (e.g. using workload/resource manager systems, parallel file systems, parallel model training) or large-scale cloud systems targeting machine learning / AI / data analytics workloads Knowledge in some additional emergent aspects of AI, for instance AI ethics, regulated, secure, reliable and trustworthy AI, AI agents, multimodal AI, model customization, etc. Conditions: Area Big Data and Artificial Intelligence Working time full time (40 hrs) / part-time possible flexible working model with electronic time recording Term of the contract 4 years, further employment is intended, with the possibility of conversion to long-term status. Remuneration up to E 13, see Entgelttabelle TV-L Annual leave / compensatory time off 30 days (24.12. 31.12. additionally day off) Overtime is compensated by additional time off Further trainings Individual support for in-service training and further education Mobile work up to 60% of work time, when applicable Benefits e.g. 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 What can you find with us? 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). Further information: We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by latest 10.06.2026. Subject: Senior AI Expert (2026 / 26) Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions. This job does not fit? Then take a look at https://www.lrz.de/karriere or send us an unsolicited application! Here you will find information about the collection of personal data during the application process. About us 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.