20 beste Stellen als student process engineering in münchen – aktuell auf Personalsuche

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

Position Overview

Are you a student passionate about technology and innovation? Join our team as a Working Student and contribute to cutting-edge projects that shape the future of manufacturing. You'll engage in research and ideation exploring low-code platforms, cloud technologies, artificial intelligence, and generative AI—all tailored for the manufacturing industry. This is your opportunity to gain real-world experience, work with industry-leading tools, and make a tangible impact while balancing your studies.

Key Responsibilities:

Engage in research and ideation projects exploring the potential of low-code, cloud, AI, generative AI, and agentic technologies tailored for manufacturing domains
Support the development of proof-of-concept solutions combining low-code platforms (Mendix) with generative AI capabilities
Document and share reference architectures and innovative approaches to ensure they are well-structured and easily understood
Conduct research into competitive landscapes and business opportunities to help us stay ahead of industry trends
Analyze internal data from systems like Salesforce and SAP using tools such as Power BI to inform business decisions and validate new growth areas
Collaborate with cross-functional teams to support the translation of research findings into actionable business insights

Qualifications:

Currently enrolled in a Bachelor's or Master's program in Computer Science, Business Informatics, Engineering, Data Science, or a related field
Strong interest in low-code platforms (Mendix experience is a plus), artificial intelligence, machine learning, and generative AI
Eagerness to understand and contribute to the manufacturing industry
Analytical mindset with enjoyment of working with data and ideally some experience with data analysis tools (e.g., Power BI, Excel, Python for data analysis)
Good communication skills in English (written and spoken); German is a plus
Proactive and independent mindset with a desire to learn and ability to work both independently and as part of a team

Preferred Qualifications:

Basic understanding or curiosity about enterprise software such as PLM, ERP (SAP), CRM (Salesforce), or other Siemens Xcelerator portfolio tools
Previous experience with low-code development or AI/machine learning projects
Familiarity with business process automation or manufacturing workflows

Why Us?

At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Compensation & Benefits:

The hourly rate for this position is €17.00 per hour. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/

What We Offer:

Real-world impact: Contribute to meaningful projects that shape the future of manufacturing
Cutting-edge technology: Work with the latest low-code and AI technologies in an industrial context
Mentorship and learning: Gain invaluable experience and learn from experienced professionals in a global technology leader
Flexible working: We understand the demands of student life and offer flexible working hours to accommodate your studies
Dynamic environment: Become part of an innovative and collaborative team culture
Networking opportunities: Build a professional network within Siemens and the industry

Location

Munich, Germany

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