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

Siemens Mobility; Erlangen; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading medical technology company in Erlangen seeks a Machine Learning Infrastructure and Data Engineer to oversee GPU clusters and optimize machine learning workloads. The role includes responsibilities such as managing Kubernetes clusters, performance monitoring, and ensuring security protocols. Candidates should hold a relevant university degree and possess several years of experience in machine learning administration. The position allows for flexible and mobile working arrangements within Germany.

Qualifikationen

• Several years of experience in machine learning administration, ideally in medical imaging or the healthcare sector.
• Experience managing GPU clusters, storage servers, and cloud infrastructures.
• Solid hands-on experience with Kubernetes and Linux system administration.

Aufgaben

• Coordinate and maintain a GPU cluster for machine learning.
• Manage Kubernetes clusters to orchestrate workloads.
• Monitor system performance and troubleshoot issues.

Kenntnisse

GPU cluster management

Kubernetes

Linux system administration

Python

Bash

PowerShell

Monitoring tools

Security protocols

Cloud infrastructure management

Ausbildung

University degree in Computer Science, Mathematics, Engineering, or a related field

Tools

NVIDIA DGX

Prometheus

Grafana

Jobbeschreibung

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.

Your tasks and responsibilities

• 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.

Qualifications

• 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 PowerShell 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.

Attributes and skills

• 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.

Our global team and culture

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.

Check our Careers Site at https://www.siemens-healthineers.com/de/careers

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

Wish to find out more before applying? Contact us: [e-mail], if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Laura Roos.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.

To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information; we therefore recommend you refrain from any such practices. Your adherence to our policies is appreciated.

Siemens Healthineers Germany was awarded the Great Place to Work® certificate.