Senior Distributed Systems Engineer
Core
Design and build scalable infrastructure for a decentralized AI network, enabling users to connect, pool, and monetize data while ensuring privacy through cryptographic proofs and Trusted Execution Environments.
Role type
Senior IC distributed systems engineer (decentralized AI infrastructure)
Builds
Data query and compute layer, privacy-preserving data pipelines, and an EVM-compatible L1 blockchain
Domain
Decentralized AI, Web3, distributed systems, privacy-preserving computation
Deliverable
production ML models | infrastructure
Required skills
large-scale multi-node distributed systems, data pipeline design, Python/Go, system profiling and debugging, cloud infrastructure (GCP/AWS/Azure)
Preferred skills
compute-over-data architecture, ML workflows (training/fine-tuning), privacy-preserving computation (TEEs/MPC/ZKP), decentralization/Web3 protocol design, open-source contributions
Technologies
Python, Go, TEEs, ZK proofs, MCP, EVM, GCP, AWS, Azure
Responsibilities
Lead development of data query and compute layer for AI training use cases; Design protocol mechanisms for data privacy, permissioning, and provenance; Contribute to Vana EVM-compatible L1 blockchain development; Develop documentation and whitepapers; Implement debugging processes for production node issues; Provide technical guidance through code reviews
Seniority
Senior, hands-on IC