Eventualcomputing

Eventualcomputing

Software Engineer, Multimodal Storage Infrastructure

San Francisco

Sponsorship not specified$60k-$100kDetected 20 days ago
RustC++BigQuerySnowflakeDatabricksAWSRoboticsSensors

About the role

  • As a Storage Infrastructure Engineer, you'll take everything we know about modern databases and apply it to the world of Physical AI.
  • Our warehouse co-indexes video, sensors, embeddings, and sim outputs on the same row, versioned, with a third query layer (not row/column, not vector/semantic) - content-aware queries over what's inside clips.
  • You should believe, in your bones, that the best read is the read elided.

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.
  • 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.
  • Team-building events and poker nights.

Requirements

  • B+ trees, LSM trees, bitmap indices, vector indices, learned indices - you have favorites and you have grudges.

Nice to have

  • Background from a storage or table-format team - Lance, Iceberg, Delta, Hudi, Spiral, Snowflake, BigQuery, Databricks Photon, DuckDB, ClickHouse, or similar.
  • Or, at minimum, fantasized about it in detail.
  • Experience with Rust or modern C++ for storage engines.
  • Comfort with the OLAP/lakehouse ecosystem: catalogs, file layout, compaction, manifest formats, time travel.
  • In-person, tight-knit team - 4 days/week in our SF Mission office.
  • Catered lunches and dinners for SF employees.
  • Latest Apple equipment.

Compensation

  • $60k-$100k

Benefits

  • Competitive comp and meaningful startup equity.
  • Commuter benefit.
  • Health, vision, and dental coverage.

Company info

  • video, sensors, and sim outputs co-indexed on the same row, aligned on timecode, and versioned - with a content-aware query layer on top.
  • We're building this in partnership with the top PhysicalAI labs and public AI infrastructure companies today.
  • We have raised $30M from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc http://Array.vc, and angels from the co-founders of Databricks and Perplexity.
  • We've assembled a world-class team from AWS, Render, Pinecone and Tesla.
  • We have spent our careers powering the last generation of PhysicalAI in self-driving, and are excited to now do this for the next.
  • Join our small (but powerful!) team working together 4 days/week in our SF Mission district office.
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