Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you.
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.
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
Experience with Lance or other vector-native storage formats
Background in GPU-accelerated data processing (RAPIDS, cuDF)
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
Location: This is an in-person opportunity in San Francisco.
Visas: We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.
Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.
Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.
Skills Required
- Deep understanding of lakehouse architectures
- Experience building large-scale distributed data processing pipelines
- Hands-on experience with streaming data systems
- Familiarity with Ray, Spark, or ClickHouse
- Focus on reliability in system design
What We Do
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.
