Linux Virtualization/Confidential Computing Engineer

Design and develop integrated solutions for TEE (Trusted Execution Environment) products with strong linux kernel virtualization skills.

Adapt systems to specific business scenarios and optimize performance.

Ensure successful product deployment, support business growth, and drive continuous product iteration.

Responsibilities:

Conduct technical R&D at linux kernel or virtualization system layer, researching integration solutions for Intel TDX, or AMD SEV, with Nvidia GPU TEE.

Develop secure, controllable, and high-performance confidential AI computing systems, meeting requirements for stability, security, and performance.

Qualifications:

Master’s degree in Computer Science, Cryptography, Information Security, or Systems Engineering, with 3+ years of experience.

Deep understanding of the Linux kernel and strong experience with KVM/QEMU projects.

Proficiency in Linux kernel C, Python, and Go; experience with Rust/Java is a plus.

Contributions to open-source communities are a plus.

Familiarity with one of hardware TEE infrastructure technologies (Intel TDX, AMD SEV, Nvidia GPU TEE, ARM CCA) is a strong plus.

Strong sense of responsibility, passion for technology, self-driven, with excellent problem-solving, teamwork, and communication skills.