Machine Learning Infrastructure and Data Engineer in Magnetic Resonance Imaging; MRI

Machine Learning Infrastructure and Data Engineer (f/m/d) in Magnetic Resonance Imaging (MRI)

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever‑evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting?
Then come and join our global team as Machine Learning Infrastructure and Data Engineer in Magnetic Resonance Imaging (MRI) (f/m/d) to continuously develop our ML infrastructure.

Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.

Even more flexibility? Mobile working from abroad is possible for up to 30 days a year under certain conditions and in selected countries.

This position is full-time.

• Coordinate and maintain a GPU cluster for machine learning (NVIDIA DGX) as well as the cloud-based training infrastructure, performing regular system updates and maintenance tasks.
• Manage Kubernetes clusters to orchestrate workloads across multiple nodes and collaborate with data scientists and engineers to optimize the cluster for ML workloads.
• Be responsible for monitoring system performance, troubleshooting issues, and supporting users in optimizing training performance and efficiency.
• Drive the implementation and maintenance of security protocols and best practices and ensure seamless connectivity to storage servers, both on-premises and in the cloud.
• Manage data storage processes, including backup, versioning, recovery, and continuous monitoring of data pipelines.

• University degree in Computer Science, Mathematics, Engineering, or a related field.
• Several years of experience in machine learning administration, ideally in medical imaging or the healthcare sector.
• Experience managing GPU clusters (particularly NVIDIA DGX), storage servers, and cloud infrastructures, with strong knowledge of network configurations and troubleshooting.
• Solid hands‑on experience with Kubernetes, Linux system administration, shell scripting, and programming languages such as Python, Bash, or Power Shell for task automation.
• Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging systems and basic knowledge of Windows system administration.
• Experience in implementing and maintaining security measures for IT infrastructures and ensuring smooth connectivity and stable operation of IT systems.

• Communicate confidently in English, as the development teams of the Application Release Train are distributed across three international locations.
• Proactively commit to delivering the best possible solutions to our customers, because we succeed together.
• Present ideas and results confidently and convincingly in cross‑functional development teams.
• Demonstrate strong teamwork and collaboration skills as well as assertiveness.
• Ensure the highest quality standards in product development as a matter of course.

Siemens Healthineers is a leading global medical technology company. 73,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.

Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success.

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As an equal opportunity employer, we welcome applications from individuals with…