What we offer you

• An attractive remuneration package
• 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
• Flexible training opportunities for both your professional and personal development that you can tailor to your interests
• Diverse health and wellness offerings
• A work environment where you can contribute with your whole personality and truly feel like part of Siemens

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.  

The individual benefits are subject to regulatory, contractual, or corporate conditions. 

You’ll make an impact by

• Develop next-generation decision intelligence solutions that optimize production, logistics, and resource planning.
• Build autonomous decision-making capabilities by combining AI, optimization, simulation, and digital twins.
• Turn complex operational challenges into scalable solutions that improve factory performance, resilience, and efficiency.
• Drive the adoption of autonomous, closed-loop planning and execution processes across the factory.
• Present and promote innovative solutions across Siemens, helping shape the future of AI-powered manufacturing.

You excel in

• Education
• Degree in Data Science, Artificial Intelligence, Computer Science, Industrial / Mechanical Engineering, Mathematics, Logistics or comparable
• Experience & Skills
• Strong expertise in AI, machine learning, and mathematical optimization, with the ability to select and apply optimization, heuristic, and data-driven approaches based on business requirements.
• Experience in developing decision intelligence solutions, ranging from recommendation systems to automated and autonomous closed-loop decision processes.
• Proven track record in solving production and logistics optimization challenges, such as scheduling, resource allocation, material flow optimization, capacity planning, and disruption management.
• Experience with modern AI frameworks, as well as a solid understanding of large language models (LLMs) and agent-based architectures.
• Ability to translate requirements from production, logistics, planning, and business stakeholders into scalable algorithms, decision models, and operational solutions.
• Strong analytical and data-driven mindset, with experience validating models, measuring business impact, and continuously improving solution performance.
• Ideally, knowledge of simulation, digital twins, and factory data integration, including the interaction between shopfloor systems and enterprise applications.
• Ways of working
• You think systemically and combine analytical rigor with a deep understanding of manufacturing and logistics processes.
• You translate complex challenges into practical, scalable solutions that create measurable business impact.
• You drive innovation and support the adoption of AI-powered and autonomous decision-making in factory operations.
• You communicate complex technical concepts clearly and collaborate effectively across business and technical functions.
• Languages
• Business-fluent German and good English language skills.

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. In the case of equal qualifications, severely disabled applicants and applicants with equivalent status will be given preference. 

About us

Join our dynamic Siemens team in the Digital Industries Motion Control (DI MC) business, where we are shaping the future of manufacturing across industries. Are you ready to help drive the future of motion control with your expertise and experience?

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.  

FAQ  – if you need further information on the application process.