Data Platform Engineer (m/f/d) for the European AI Factory HammerHAI

Position

Senior Platform Engineer (m/f/d) – Data Platform Engineer for the European AI Factory “HammerHAI”.

Responsibilities

• Developing and maintaining software and data environments for AI, HPC, and data analytics use cases on modern hardware (GPUs, CPUs, AI accelerators).
• Contributing to the initial and evolving software stack and service portfolio of the AI Factory within an engaging international team.
• Supporting development of the platform that enables HammerHAI customers to access and provide their own AI data sets and models.
• Fostering contact with collaboration partners and stakeholders from the European AI ecosystem.
• 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).

Basic Qualifications – Required/Minimum

• PhD or Master’s degree in computer or data science, or other areas of scientific computing, or Bachelor’s degree with >2 years of applied software development/platform engineering/deployment experience and/or senior engineering experience in research or enterprise AI data management workflows.

Other Requirements

• Proficiency working in data center environments (Linux servers, Python, Git, GitLab).
• Proven experience designing, deploying, and maintaining end-to-end AI/ML software stacks on HPC, cloud, or hybrid environments covering the full lifecycle from data ingestion to model deployment.
• Extensive knowledge in developing and maintaining software and data environments for AI, HPC, and data analytics use cases, utilizing technologies such as:
• Kubernetes (or other cluster scheduling/orchestration frameworks)
• MLOps tools (e.g., Kubeflow, ClearML, MLflow)
• Data management platforms (e.g., piveau)
• Ability to design and operate data management workflows, including integration with data platforms, model hubs, data spaces, and external repositories using standardized interfaces and APIs.
• Willingness to keep up with current developments and learn new AI technologies.
• Excellent English and preferably German presentation and writing skills.

Preferred Qualifications

• Advanced understanding of high‑performance object storage and RDMA, and how to use these features in platform/software development.
• Solid understanding of data governance, access control, privacy, and regulatory compliance in European contexts, with experience handling sensitive domain‑specific data.
• Experience testing, benchmarking, and optimizing software components for scalability, performance, and usability in large‑scale AI environments.
• Experience with agile development methods and CI/CD.

Conditions

• Area: Big Data and Artificial Intelligence.
• Working time: full time (40 hrs) / part‑time possible, flexible working model with electronic time recording.
• Contract: End of Q1/2028, with further employment intended.
• Remuneration: up to E 13, see Entgelttabelle TV‑L.
• Annual leave / compensatory time off: 30 days (plus day off on 24.12. and 31.12.), overtime 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

JobBike Bayern, bus and subway (U6) on the doorstep, free parking, pension plan of the VBL, state‑of‑the‑art work equipment, cooperation agreement with sports facility providers for discounted membership.

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).