Job Description

Job ID

524442

Posted since

20-Oct-2026

Organization

Foundational Technologies

Field of work

Internal Services

Company

Siemens AG

Experience level

Student (Not Yet Graduated)

Job type

Part-time

Work mode

Hybrid (Remote/Office)

Employment type

Fixed Term

Location(s)

• Garching - - Germany

Mode of Employment: Fixed Term / max. 20 hours/week

Are you passionate about AI and real-time systems? Join us in Garching as a Working Student for Real-Time Inference on Embedded & Edge Systems (f/m/d) and help shape the future of intelligent industrial applications at the cutting edge!

Connect, learn, and grow with our Working Student Network – your space to exchange ideas, build meaningful relationships, and navigate your Siemens journey.

You'll make an impact by

• You support the development and evaluation of system-level prototypes for latency-critical AI inference on industrial edge platforms, applying your programming skills in C or C++
• Next, you assist in implementing benchmarking tools to measure end-to-end latency, jitter and resource usage, working closely with Linux-based environments and hardware
• Building on your interest in embedded and real-time systems, you contribute to integrating AI runtimes and inference workloads into embedded and edge software environments
• Additionally, you help investigate CPU/GPU scheduling, resource isolation and interference in heterogeneous compute settings, turning experimental measurements into practical improvements on real hardware

This is how you'll win us over

• Education: You are currently successfully studying Computer Science, Electrical Engineering, Embedded Systems, Robotics, Automation or a related field
• Experience and Skills:
• You have solid programming skills in C or C++
• You have practical experience with Linux and enjoy working close to operating systems and hardware
• Experience with multithreading, networking, profiling, hardware accelerators or low-level debugging is beneficial
• Ways of Working: You enjoy experimenting with system behavior and turning measurements into practical improvements on real hardware
• Languages: Very good English 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!

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.

As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.

About Us

The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.

www.siemens.de/careers – wenn du mehr Informationen zu Jobs & Karriere bei Siemens erhalten möchtest.

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

If you have any further questions, please feel free to contact us: www.siemens.de/fragenzurbewerbung

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