Thesis (Bachelor/Master) Confidential Computing for Edge Platforms

Job ID

486869

Posted since

03-Dec-2025

Organization

Foundational Technologies

Field of work

Internal Services

Company

Siemens AG

Experience level

Student (Not Yet Graduated)

Job type

Full-time/Part-time

Work mode

Hybrid (Remote/Office)

Employment type

Fixed Term

Location(s)

• Erlangen - Bayern - Germany
• Garching - Bayern - Germany

Mode of Employment: Fixed Term

Are you passionate about cutting-edge research at the intersection of cybersecurity and edge computing? Join us in Garching as a Thesis student (f/m/d) and collaborate with an international team to shape the future of confidential computing for real-time edge platforms

We are seeking a motivated Master's or Bachelor's student to conduct research on the intersection of confidential computing, real-time systems, and edge computing. This thesis project will focus on evaluating and optimizing the performance of confidential workloads running on edge platforms, with particular emphasis on Intel Trust Domain Extensions (TDX) technology and containerized environments.

What we offer you

• Exciting research and development projects that put your theoretical knowledge into practice
• Individual supervision and support from experienced experts in your field
• Access to the latest technologies, laboratories, and resources
• Diverse opportunities to contribute your ideas and actively shape the projects
• Excellent career opportunities through contact with potential employers

You'll make an impact by

• You collaborate closely with a multidisciplinary research team focused on edge and distributed computing as well as cybersecurity, immersing yourself in an innovative environment
• Building on this, you evaluate the real-time capabilities of confidential workloads on edge platforms by systematically measuring latency and jitter
• Subsequently, you benchmark Intel TDX trusted execution environments both with micro-benchmarks and full software stacks to assess the performance impact of migrating confidential workloads
• Leveraging your findings, you optimize CPU and physical network isolation techniques for real-time confidential workloads in virtualized container environments
• Finally, you disseminate your thesis results through white papers and academic publications, contributing to the broader research community

This is how you'll win us over

• Education: You are currently enrolled in a degree program in Computer Science, Information Technology, Electrical Engineering, or a related field
• Experience and Skills:
• You have solid knowledge of operating system concepts and Linux systems programming
• You have prior academic or industry experience with Linux systems programming and container technologies such as Docker
• You are familiar with edge computing concepts and have a strong interest in cybersecurity
• Ways of Working: You are highly motivated to learn, work collaboratively, and contribute effectively within a dynamic research team
• Languages: You have excellent English skills, both written and spoken

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 welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.

About Us

At Siemens Technology, we develop the next-generation technologies that power the future of industrial automation, smart infrastructure and mobility, healthcare, and more. Located in the Technical University of Munich Campus, Garching, Siemens Technology Center offers an ideal environment for industry-academia collaboration.

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