Data Engineer

Exa is building a search engine from scratch to serve every AI application. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to index it, and develop super high performant vector databases in Rust to search over it. We also own a $5m H200 GPU cluster and routinely run batchjobs with tens of thousands of machines. This isn't your average startup :)

As a Data Engineer, you'll architect and build the data infrastructure that powers everything we do—from crawling billions of pages to training our embedding models to serving real-time search. You'll have enormous autonomy in designing systems that scale to hundreds of petabytes. If you've ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance.

Desired Experience

• Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them

• Experience building and operating large-scale distributed data processing pipelines

• Hands-on experience with streaming data systems (Kafka, Flink, or similar)

• Familiarity with Ray, Spark, or ClickHouse at production scale

• An obsessive focus on reliability and building systems that don't page you at 3am

Bonus Points

• Experience with Lance or other vector-native storage formats

• Background in GPU-accelerated data processing (RAPIDS, cuDF)

Example Projects

• Design a lakehouse architecture that handles 100+ PB of web crawl data

• Build streaming pipelines that process billions of documents per day for real-time indexing

• Architect the data layer for our embedding training infrastructure on Ray

• Scale our ClickHouse deployment to handle analytical queries across petabytes of search logs

This is an in-person opportunity in San Francisco. We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3).