Distributed Systems Engineer

This role is with a Calyptus partner.

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Key Responsibilities:

• Lead the research, design, and implementation of data availability sampling (DAS) for our organisation.
• Collaborate with cross-functional teams in engineering, research, product, and decentralized AI solutions to implement data availability mechanisms.
• Design and implement practical cryptographic verification methods, including erasure coding, zero-knowledge proofs (zk-SNARKs/STARKs), and other techniques to ensure trust-minimized, scalable data availability.
• Oversee protocol upgrades and integration with distributed AI verification systems, ensuring all upgrades are secure, audited and deployed.
• Engage with external research teams, industry organizations, and open-source communities to write and create cutting edge protocol research.
• Develop and maintain comprehensive technical documentation, including protocol specifications.

Requirements:

• 4+ years of experience as a software engineer, with specific experience working on distributed systems or data availability products.
• Strong grasp of cryptographic primitives and their application in blockchain environments (e.g., zero-knowledge proofs, hashing algorithms, Merkle trees).
• Experience building protocols in programming languages such as Rust, Go from 0-1.
• Familiarity with consensus algorithms and how data availability interacts with the consensus layer.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Nice-to-Have:

• Familiarity with rollup architectures and existing relationships or opinions on Ethereum L2s and blockchains.
• Contributions to open-source blockchain projects or research publications in the data availability space.
• Knowledge of MEV and its implications for DA and blockchain performance.

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