Senior IT Infrastructure Engineer for Machine Learning in MRI | Senior IT Infrastructure Engineer (f/m/d) for Machine Learning in Magnetic Resonance Imaging (MRI)
Siemens Healthineers AG
Job Summary
This Senior IT Infrastructure Engineer role focuses on operating and optimizing high-performance GPU clusters, such as NVIDIA DGX systems, essential for AI training and experimentation in Magnetic Resonance Imaging (MRI). The successful candidate will be responsible for ensuring system performance, high availability, and reliable data access by monitoring local and cloud storage servers. Key tasks include designing and developing cloud-based infrastructure for AI pipelines, managing Kubernetes clusters for efficient container orchestration, and maintaining internal MLOps tools for workflow automation and model versioning. This position requires close collaboration with data scientists and ML engineers to optimize infrastructure for cutting-edge research and product development, while ensuring strict adherence to security and quality standards. The role offers the attractive opportunity to shape the future of healthcare technology within a global team, with flexibility for up to 60% mobile work within Germany.
Required Skills
Education
Master's degree in Computer Science, Engineering, or a comparable field.
Experience
- Many years of professional experience in IT infrastructure administration
- Experience in managing and maintaining GPU clusters (ideally NVIDIA DGX systems)
- Professional experience with Kubernetes for container orchestration
- Experience using MLOps tools (e.g., MLflow)
- Experience in managing storage servers and ensuring connectivity to compute clusters
- Advantageous experience in medical imaging or healthcare sectors
Languages
Additional
- Permanent contract. Mobile work up to 60% of working hours possible (within Germany).
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