Distributed Systems Engineer

Summary

Join Hyperbolic Labs, a pioneer in democratizing AI through Open-Access AI Cloud, as we redefine computing with our seed round backed by industry leaders. We're seeking forward-thinking individuals to lead research and implementation of data availability sampling (DAS) for Hyperbolic.

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

Responsibilities

• Lead the research, design, and implementation of data availability sampling (DAS) for Hyperbolic
• 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