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

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

Data Platform Engineer role in the European AI Factory focusing on AI, HPC, and data analytics environments.

Responsibilities

• Develop and maintain software and data environments for AI, HPC, and data analytics use cases involving modern AI hardware (GPUs, CPUs, AI accelerators).
• Contribute to the evolving software stack and service portfolio of the AI Factory within an international team.
• Support development of the platform that allows HammerHAI customers to access and provide AI datasets and models.
• Engage with collaboration partners and stakeholders from the European AI ecosystem, applying communication skills.
• Collaborate on national and European AI R&D projects across private and academic sectors.
• Maintain relationships with technology providers and system developers (software/hardware).

Basic Qualifications

• PhD or Master’s degree in computer or data science or related scientific computing field; OR Bachelor’s degree with more than two years of applied software development, platform engineering, deployment experience, or AI data‑management workflows as a senior engineer in research or enterprise environments.

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 across the full lifecycle from data ingestion to model deployment.
• Extensive knowledge and experience developing and maintaining software and data environments for AI, HPC, and data analytics use cases, including:
  • 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, integrating with data platforms, model hubs, data spaces, and external repositories via standardized interfaces and APIs.
• Willingness to stay current with AI developments and learn new technologies.
• Excellent English and preferably German presentation and writing skills.

Preferred Qualifications

• Advanced understanding of high‑performance object storage and RDMA, and how to leverage these in platform/software development.
• Solid understanding of data governance, access control, privacy, and regulatory compliance in European contexts, with experience handling sensitive and 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.

Term of contract: End of Q1/2028, further employment intended.

Remuneration: Up to E13 (see TV‑L scale).

Annual leave / compensatory time off: 30 days (plus additional days on 24 Dec and 31 Dec).

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) access at 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.

We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender, sexual identity, physical abilities, religion, and age. Priority is given to applications from people with disabilities who are equally qualified (SGB IX).