Blockchains are an excellent solution for storing data; however, the main limitation is performance when storing and querying the blockchain state in persistent storage (database). The blockchain node stores the data (state) in specific data structures in the database. The most commonly used databases by popular blockchains are RocksDB, LevelDB, LMDB, or the flavor of these DBs. The most commonly used data structures to store states are Ethereum Merkle trees, Consensys Bonsai trees, Erigon approach, Verkle trees, Avax Firewood, etc.
The person in this role would be required to study data structures for storing the MoveVM-based blockchain’s current and archival state on the database. So the objective is to study data structures and the underlying storage layer, experimenting and benchmarking existing implementations such as Ethereum Merkle trees, Consensys bonsai trees, the Erigon approach, replacing Merkle trees with Verkle trees, other data structure-level innovations, and faster and more efficient access from the storage layer. Essentially, these tasks involve understanding the existing codebase, testing the existing codebase via mocks and drivers, integrating and testing the best-performing data structure and database with Supra Codebase, and even refactoring parts of the code when necessary.

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The ideal candidate for us has:

Essential:

Duration: >= 6 months based on mutual agreement