About the company
Vanna Labs is building native on-chain AI inference, designed to deliver seamless and scalable inference secured by state-of-the-art cryptography. The Vanna Network is an EVM blockchain network that is a composable execution layer for on-chain AI. The network features access to scalable and secure model inference, allowing developers to seamlessly leverage AI models in composable smart contracts to create powerful decentralized applications and enable new use-cases.
Job Summary
The Role
šVanna Labs is looking for a talented and self-driven software engineer with a focus on blockchain infrastructure to join our world-class team. The ideal candidate will have a strong background in distributed systems, networking, and blockchain infra. You will play a crucial role in designing, developing, and optimizing the infrastructure that powers our EVM-based decentralized inference network. Your responsibilities will include: šOwnership over scalable and reliable blockchain infrastructure components, including consensus mechanisms, peer-to-peer networking, virtual machines, and data availability solutions šOptimize blockchain infrastructure and algorithms for performance, scalability, and security šConduct research and experimentation with emerging blockchain technologies and consensus mechanisms šCollaborate with product, research and engineering teams to build the best decentralized AI network šDesign, build, test and deploy large-scale decentralized systems
Qualifications
šStrong proficiency in software development with experience in distributed systems, networking, and concurrent programming šAt least 3-4 years of experience in distributed systems or blockchain technology šExpertise in blockchain technology, cryptographic principles, and consensus mechanisms šDeep understanding of Ethereum/EVM/L1/L2 technologies šFluent in systems languages such as Go and Rust šExcellent problem-solving and analytical skills with attention to detail, taking ownership of end-to-end solutions šThrives in autonomous and collaborative environments