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TEE Backend Engineer
Dubai
Tech & Product /
Remote
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Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we’re solving one of blockchain’s biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond. We’re growing rapidly and looking for an experienced individual to join our AI team of 10+.
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).
What We Offer:
- An exciting and growing international start-up with ambitious goals in a revolutionary, multi-billion dollar industry.
- Attractive compensation plus token allocations.
- Remote work in a timezone that corresponds well with UTC +5 time.
- Paid vacation and public holidays.
- Opportunity to work closely with the founding team and have your voice heard.
- Compensation paid in USDT.
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What is Zero-knowledge?
Zero-knowledge is a concept in cryptography that allows two parties to exchange information without revealing any additional information beyond what is necessary to prove a particular fact
In other words, zero-knowledge is a way of proving something without actually revealing any details about the proof
Here are some examples of zero-knowledge:
- Password authentication: When you enter your password to log into an online account, the server doesn't actually know your password. Instead, it checks to see if the hash of your password matches the stored hash in its database. This is a form of zero-knowledge because the server doesn't know your actual password, just the hash that proves you know the correct password.
- Sudoku puzzles: Suppose you want to prove to someone that you've solved a particularly difficult Sudoku puzzle. You could do this by providing them with the completed puzzle, but that would reveal how you solved it. Instead, you could use a zero-knowledge proof where you demonstrate that you know the solution without actually revealing the solution itself.
- Bitcoin transactions: In a Bitcoin transaction, you prove that you have ownership of a certain amount of Bitcoin without revealing your private key. This is done using a zero-knowledge proof called a Schnorr signature, which allows you to prove ownership of a specific transaction output without revealing the private key associated with that output.
- Secure messaging: In a secure messaging app, you can prove to your contacts that you have access to a shared secret without revealing the secret itself. This is done using a zero-knowledge proof, which allows you to prove that you have access to the secret without actually revealing what the secret is.