Systems engineer - Secure AI and TEE

Senior Confidential Computing / TEE Engineer

Experience: 5+ years

About the Role

We are building a secure inference platform designed to operate in environments where infrastructure trust cannot be assumed.

As a TEE & Confidential Computing engineer, you will work at the trust boundary of the entire system. This is a hands-on technical leadership role responsible for ensuring that user data, model execution, and inference outputs remain confidential.

What Youll work with

• End-to-end TEE architecture across CPU and accelerator hardware
• Secure boot, memory isolation and attestation flows
• Per-session cryptography and secure streaming primitives
• Threat modeling and security design reviews
• Defining and minimizing the Trusted Computing Base (TCB)
• Security sign-off on platform and model upgrades

What Youll Build

• Attested confidential VM images
• Secure accelerator-backed inference pipelines
• Session key generation, rotation and lifecycle management
• Hardening against memory corruption and replay attacks
• Confidential execution guarantees in untrusted environments

Ideal Background

• Deep experience with TEEs and confidential computing technologies
• Strong systems background (Linux, kernels, virtualization, low-level security)
• Cryptography (key lifecycle, secure protocols)
• Experience owning security architecture end-to-end
• Comfortable operating as a technical authority in highly scalable systems