Responsibilities:

📍TEE Development for AI and Blockchain: 📍Design and implement secure systems using TEEs (e.g., Intel SGX, AMD SEV, ARM TrustZone, Intel TDX). 📍Develop trusted enclaves to ensure secure execution of AI models and blockchain smart contracts. 📍Implement mechanisms to protect sensitive computations such as training of AI models. 📍Secure Data Management: 📍Enable secure storage, sharing, and processing of sensitive AI datasets within TEEs. 📍Build privacy-preserving solutions for on-chain and off-chain data. Integration with Blockchain: 📍Design TEE-based modules to enhance blockchain scalability and privacy (e.g., zero-knowledge proofs). 📍Implement secure off-chain computations for Layer 2 scaling oracles and decentralized storage integrations. 📍Contribute to the development of decentralized applications (dApps) utilizing TEE for AI and blockchain workflows. 📍AI Model Security: 📍Implement secure AI model training and inference pipelines in trusted execution environments. 📍Integrate federated learning or multi-party computation approaches with TEEs. 📍System Design: 📍Architect scalable, fault-tolerant backend solutions combining AI, blockchain, and TEE technologies. 📍Performance Optimization: 📍Profile and optimize the performance of TEE-based AI and blockchain applications. 📍Address bottlenecks in secure enclave computations and blockchain interactions. 📍Research & Development: 📍Stay updated on advancements in TEE, AI, and blockchain technologies. 📍Experiment with and implement novel approaches for secure and efficient decentralized AI systems.

Skills:

📍Experience with TEE frameworks (e.g., Intel SGX SDK, Open Enclave, ARM TrustZone). 📍Familiarity with AI model deployment workflows (e.g., PyTorch, TensorFlow, ONNX). 📍Understanding of blockchain protocols, consensus mechanisms, and smart contract development. 📍Proficiency in cryptographic techniques (e.g., zero-knowledge proofs, MPC). 📍Hands-on experience with API design (e.g., REST, GraphQL).