{"schemaVersion":"jobsearcher.job.v1","id":"171dfcb36a6777288bf5dbd5","url":"https://jobsearcher.com/jobs/171dfcb36a6777288bf5dbd5","canonicalUrl":"https://jobsearcher.com/jobs/171dfcb36a6777288bf5dbd5","title":"Software Engineer, Distributed Data Systems","description":"Data EngineerExa 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.Who You AreDeep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use themExperience building and operating large-scale distributed data processing pipelinesHands-on experience with streaming data systems (Kafka, Flink, or similar)Familiarity with Ray, Spark, or ClickHouse at production scaleAn obsessive focus on reliability and building systems that don't page you at 3amBonusExperience with Lance or other vector-native storage formatsBackground in GPU-accelerated data processing (RAPIDS, cuDF)What You Could DoDesign a lakehouse architecture that handles 100+ PB of web crawl dataBuild streaming pipelines that process billions of documents per day for real-time indexingArchitect the data layer for our embedding training infrastructure on RayScale our ClickHouse deployment to handle analytical queries across petabytes of search logsLogisticsLocation: 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.","company":"Exa Labs","rawCompany":"exa labs","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-26T02:32:22.808Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Distributed Data Systems","description":"Data EngineerExa 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.Who You AreDeep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use themExperience building and operating large-scale distributed data processing pipelinesHands-on experience with streaming data systems (Kafka, Flink, or similar)Familiarity with Ray, Spark, or ClickHouse at production scaleAn obsessive focus on reliability and building systems that don't page you at 3amBonusExperience with Lance or other vector-native storage formatsBackground in GPU-accelerated data processing (RAPIDS, cuDF)What You Could DoDesign a lakehouse architecture that handles 100+ PB of web crawl dataBuild streaming pipelines that process billions of documents per day for real-time indexingArchitect the data layer for our embedding training infrastructure on RayScale our ClickHouse deployment to handle analytical queries across petabytes of search logsLogisticsLocation: 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.","datePosted":"2026-06-26T02:32:22.808Z","dateModified":"2026-06-26T02:32:22.808Z","hiringOrganization":{"@type":"Organization","name":"Exa Labs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"171dfcb36a6777288bf5dbd5"},"url":"https://jobsearcher.com/jobs/171dfcb36a6777288bf5dbd5"}}