Mode of Employment: Limited, max. 20h/week

As a working student at Siemens, you have the opportunity to actively contribute in various areas and fully apply your skills.

You’ll make an impact by 

• Contribute to developing a demonstrator focused on industrial networking and edge computing.

• Help showcase AI-based algorithms designed to predict failures in industrial infrastructures.

• Implement edge and network emulation environments to generate synthetic data sets for AI training.

• Design and implement a demonstrator utilizing various computing devices, sensors, and actuators.

• Collaborate with our team and contribute to ongoing research and development efforts.

• We encourage you to shape the focus of this internship into your Bachelor's or Master's thesis.

Your success is grounded in

• Education: Currently pursuing a degree in Computer Science.
• Experience & Skills: Over3 years of experience in software development using Python.

Proficient in setting up and configuring communication networks within a Linux environment.

Experienced with AI and related Python frameworks, such as TensorFlow and PyTorch.

You are interested in creating hardware setups, including sensors and actuators.

• Languages: Excellent command of English and/or German.

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!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

About us

Join our team and help shape the future of communication, energy efficiency, and mobility! We are looking for dedicated working students who can put theories into practice and think creatively. 

Take the opportunity to contribute to our global network, make valuable connections, and lay the foundation for your professional and personal future. 

We look forward to your talent!

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.  

If you have more questions please contact: www.siemens.de/fragenzurbewerbung

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