Aufgaben:

Developing and evaluating Proofs of Concept for confidential workloads on edge and embedded platforms Working with hardware-backed confidential virtual machines based on technologies such as Intel Trust Domain Extensions (TDX) and AMD Secure Encrypted Virtualization - Secure Nested Paging (SEV-SNP) Working with Kata Containers, Confidential Containers, KVM/QEMU and related virtualization and container technologies Implementing and evaluating workflows for image encryption, remote attestation and secure key release Developing tooling for building, packaging and deploying confidential applications Investigating how existing applications can be migrated into confidential environments with minimal changes Exploring mechanisms for persistent storage, sealing, backup and recovery Investigating attestation and key provisioning for intermittently connected or offline devices Benchmarking performance, latency and resource overhead of confidential workloads Supporting real-time experiments for latency-critical applications inside confidential virtual machines Building demonstrators for use cases such as application IP protection, confidential industrial AI or sensitive production data Evaluating and extending relevant open-source technologies where required

Qualifikation:

Education : You are currently studying Computer Science, Cybersecurity, Electrical Engineering, Embedded Systems or a related field Experience and Skills : You have practical experience with Linux and enjoy working close to operating systems and system software You have programming experience in C/C++, Rust, Go or a comparable systems programming language Experience with virtualization, Docker, KVM/QEMU, networking or low-level debugging is beneficial Knowledge of Intel TDX, AMD SEV-SNP, Trusted Execution Environments, TPMs or remote attestation is a plus Experience with Kata Containers or Confidential Containers is a plus Python is beneficial for automation, testing and evaluation You enjoy building and debugging system prototypes and validating concepts on real hardware Ways of Working : You work independently and enjoy collaborating in an interdisciplinary research environment Languages : No specific language requirements mentioned

Über Uns:

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. 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.