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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