Confidential Computing Virtualization Engineer - Verda

Imagine a future where sensitive workloads can run in the cloud with strong, verifiable guarantees about security and integrity. At Verda, we’re building a fully featured European cloud computing platform, and confidential computing is a key part of enabling secure AI and data processing at scale. From CPU-level trust to GPU attestation, we’re working at the intersection of hardware, virtualization, and cryptographic trust. Join Verda while it’s still being built - not once it’s finished! In this role, you will help build, operate, and improve Verda’s confidential computing platform, enabling secure execution environments for sensitive workloads. You will deploy and maintain Confidential VM environments based on technologies such as AMD SEV-SNP and NVIDIA Confidential Computing, ensuring reliability and performance across the stack. You will implement and manage attestation workflows for both CPU and GPU environments, enabling cryptographic verification of hardware and firmware integrity before workloads are executed. You will work closely with the infrastructure team to integrate confidential computing capabilities into Verda’s broader provisioning platform. You will diagnose and resolve issues across multiple layers—including the host OS, hypervisor, and guest environments—while monitoring and documenting performance characteristics of confidential GPU workloads. You will also stay up to date with upstream developments such as kernel patches, firmware updates, and NVIDIA driver releases, evaluating their impact on the platform.