TEE Specialist

Ritual is hiring a senior systems-security engineer to build trusted-execution-environment (TEE) solutions that make fully on-chain, verifiable AI compute practical. The role covers TEE and GPU integration for AI workloads, network traffic attestation, and computational-integrity verification across Ritual's distributed compute network.

• Design and implement TEE-based solutions enabling secure, verifiable AI model execution on-chain
• Integrate TEE technology with GPU compute to support AI inference workloads
• Build attestation and verification mechanisms confirming computational integrity across the network
• Architect secure network traffic attestation bridging off-chain data into on-chain contexts
• Balance time-to-market pressure with a security-first approach to production TEE environments

• Hands-on experience implementing TEE technologies such as SGX, TDX, or SEV-SNP
• Strong systems programming in C++ and Rust
• Experience integrating GPUs with secure enclave environments
• Familiarity with TEE SDKs such as Gramine or Open Enclave
• Security-first mindset backed by production systems experience

Ritual is building a sovereign, AI-native execution layer that lets smart contracts call AI models directly on-chain through its Infernet product. This role sits at the frontier of confidential computing for AI, making verifiable on-chain inference practical at scale, and comes with a fully remote setup and strong benefits relative to typical web3 startups.