Software Engineer, Multimodal Storage Infrastructure

Eventual is a company focused on building a multimodal storage infrastructure for Physical AI. As a Storage Infrastructure Engineer, you will design and implement the storage and indexing layer to optimize queries over large datasets, ensuring efficient data management and retrieval.

Responsibilities:

• Design and build the storage and indexing layer: row groups, column chunks, secondary indices, vector indices, and the metadata that lets queries skip everything that doesn't matter
• Push the query engine harder — predicate pushdown, projection pushdown, late materialization — across multimodal columns including video, embeddings, and sensor streams
• Choose, extend, or build on top of modern open formats (Parquet, Iceberg, Delta etc) and build our own/contribute upstream where it makes sense
• Build versioning and schema evolution for multimodal datasets so customer data stays reproducible across months of experimentation
• Partner with the Dataloading team on the format-to-loader boundary so an iceberg.scan(...) translates into the absolute minimum of bytes hitting NVMe
• Partner with the Visual Understanding team to land model outputs in the index without an external glue layer