Jobs / Eve***
Software Engineer, Multimodal Storage Infrastructure
Eve*** · San Francisco, CA, United States
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San Francisco, CA, United States150,000-250,000 USD/yearlyHybrid
Remuneration
150,000-250,000 USD/yearly
Location
San Francisco, CA, United States
Visa sponsorship
Sponsors visa
Job summary
ABOUT Eve*** Every breakthrough Physical AI system — humanoid robots, autonomous vehicles, video generation models — is trained on petabytes of video, lidar, radar, and sensor data. But today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics.
Benefits
In-person, tight-knit team — 4 days/week in our SF Mission office.Competitive comp and meaningful startup equity.Catered lunches and dinners for SF employees.Commuter benefit.Team-building events and poker nights.Health, vision, and dental coverage.Flexible PTO.Latest Apple equipment.401(k) plan with match.If you've ever read a Parquet footer for fun and thought "this is so close to whCompensation Range: $150K - $250K
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.
- WHAT WE LOOK FOR
- You love thinking about indices.
- B+ trees, LSM trees, bitmap indices, vector indices, learned indices — you have favorites and you have grudges.
- You love thinking about query engines.
- Predicate pushdown makes you happy.
- Late materialization makes you happier.
Degrees
Associate
Travel
Travel
Industry
AutomotiveEnergyLogistics
Company size
SmbStartup
Contract length
15 years