Software Engineer, Distributed Data Systems
About The Position
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 that regularly lights up tens of thousands of machines. 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.
Requirements
- 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
Nice To Haves
- Experience with Lance or other vector-native storage formats
- Background in GPU-accelerated data processing (RAPIDS, cuDF)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
