Machine Learning Infrastructure and Data Engineer (f/m/d) in Magnetic Resonance Imaging (MRI)
Join to apply for the Machine Learning Infrastructure and Data Engineer (f/m/d) in Magnetic Resonance Imaging (MRI) role at Siemens Healthineers.
We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone to grow personally and professionally.
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.
Your tasks and responsibilities:
* Manage high‑performance GPU clusters and cloud resources to support regulatory‑compliant AI development in medical imaging.
* Shape, administer, and continuously maintain a machine‑learning compute and storage infrastructure consisting of an NVIDIA DGX cluster, cloud resources, and a data management solution.
* Manage a Kubernetes cluster for container orchestration and efficient workload distribution, collaborating closely with data scientists and engineers to optimize infrastructure components and data pipelines.
* Support clinical data management.
* Monitor system performance using tools like Prometheus and Grafana and implement security measures for IT infrastructure.
* Manage storage servers (local and cloud) and ensure seamless connectivity to compute clusters.
Your qualifications and experience:
* Hold a university degree in Computer Science, Mathematics, Engineering or a comparable field.
* Have several years of professional experience in the administration of machine‑learning infrastructure, preferably in the context of medical imaging or healthcare.
* Have sound knowledge of Linux system administration, including scripting and automation, and practical experience with cloud platforms, ideally Microsoft Azure, as well as hybrid cloud environments.
* Be familiar with networking, storage management and security concepts.
* Possess solid programming skills in Python, Bash and PowerShell for automation purposes.
* Experience in GPU cluster management, in particular with NVIDIA Base Command Manager, and experience with Kubernetes‑based container orchestration is an asset.
* Knowledge of clinical data management and medical image processing is a plus.
* Familiarity with machine‑learning frameworks such as TensorFlow and PyTorch, as well as experience with monitoring and logging tools such as Prometheus and Grafana, is advantageous.
* Relevant certifications (e.g. CKA or RHCE) are also welcome.
Your attributes and skills:
* Communicate confidently in English, as the development teams are distributed internationally.
* Be proactively committed to delivering high‑quality solutions and contribute constructively to cross‑functional development teams.
* Present ideas and results clearly and convincingly, valuing close collaboration and teamwork.
* Take on a strong sense of responsibility and adhere to the highest quality standards in product development.
Our global team
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
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.
Equal Opportunity Employer
As an equal opportunity employer, we welcome applications from individuals with disabilities.
Contact
Contact us: recruitinggersupport.func@siemens-healthineers.com, if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Laura Roos.
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