Mode of Employment: Fixed Term / Part-Time; (20 hours / week) Are you passionate about pushing the boundaries of AI at the edge? Join us in Garching as a PhD candidate (f/m/d) and help shape the future of LLM/FM inference for real-world industrial networks—where your ideas move innovation beyond the cloud.

What we offer you

• Attractive remuneration package
• 30 leave days and a variety of flexible working models that allow time off for yourself and your family
• Share matching programs to become a shareholder of Siemens AG
• Continuous Learning: Benefit from specialized training and daily challenges to keep your expert knowledge up-to-date
• Innovative Environment: Be part of a team that values innovation and continuous improvement

Since each of over 300,000 employees feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information [here](https://www.siemens.com/de/de/unternehmen/jobs/benefits-was-wir-bieten.html).

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

You'll make an impact by

• You systematically analyze the state of the art in distributed LLM/FM inference and related network-aware strategies to identify current challenges and research gaps- Building on these insights, you precisely define and scope the problem space, setting clear research objectives aligned with industrial edge environments- Subsequently, you develop and implement innovative methods for optimizing the inference of distributed LLMs/FMs, leveraging techniques such as model partitioning, parallelism, and compression- To validate your approaches, you design and realize an industrial demonstrator, integrating your solutions into real-world edge network scenarios- Finally, you rigorously evaluate the performance of your implementations against established baselines, iterating on your methods to drive continuous improvement

This is how you'll win us over

• Education: You have completed or are about to complete a Master’s degree in Computer Science or a related field- Experience and Skills:- You possess excellent programming skills in Python and expertise in C++ is a plus- You have a strong understanding of Large Language Models (LLMs) and Foundation Models (FMs), including their underlying principles- You are familiar with Linux environments and network management, and have a strong interest in AI and communication networks

• Ways of Working: You work independently as well as collaboratively within a team, demonstrating initiative and reliability- Languages: Very good English skills are required

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](https://www.siemens.com/de/de/unternehmen/jobs/arbeiten-bei-siemens/inklusion.html), 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](https://www.siemens.com/en-us/company/jobs/) – if you would like to find out more about jobs & careers at Siemens.

[FAQ ](https://www.siemens.com/en-us/company/jobs/faq/)– if you need further information on the application process.