Senior AI Expert (m/f/d) for AI Computing Services

Leibniz-Rechenzentrum; Garching bei München; Hybrid; EUR 58.500 - 71.500; Vollzeit

Benefits dieser Stelle

Pension plan

State-of-the-art work equipment

Free parking

Zusammenfassung

Leibniz-Rechenzentrum in Garching bei München is recruiting a Senior AI Expert (m/f/d) to lead research activities within the BDAI team. This role requires a PhD in computer science or data science, with significant AI development experience. Candidates will enhance AI service offers, mentor junior members, and provide consultancy to academic users. The position offers flexible working hours, up to 60% mobile work, and attractive benefits including 30 days annual leave, pension plans, and individual training support.

Qualifikationen

• PhD with two or more years of applied AI development or Master's with five or more years of experience.
• Proven experience with funding applications and project management.
• Extensive knowledge in Machine Learning/AI applications and frameworks.

Aufgaben

• Lead research activities in LRZ’s BDAI team and enhance AI service offers.
• Provide consultancy to scientific users and collaborate with research groups.
• Mentor junior team members and support academic users of AI service infrastructure.

Kenntnisse

Machine Learning/AI applications

Project management

Linux

Python

Git

Ausbildung

PhD in computer or data science

Tools

PyTorch

JAX

Docker

Jobbeschreibung

Senior AI Expert (m/f/d)

AI Computing Services

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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

Equal Opportunity Statement

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).