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9 mo agofound 7 d ago

Software Engineer, Distributed Data Systems

Exa·San Francisco, California·via ashby
visa sponsoredmid5+ yrsFull timeclickhousecudfflinkhudiicebergkafkalancerayspark
What the posting is about

Design and build massive-scale data infrastructure for web crawling, ML model training, and real-time search. Work with petabytes of data and ensure system reliability. Collaborate on cutting-edge AI projects with a focus on perfecting search over global information.

Read out of the posting
Levelmid
Experience asked5+ years
EmploymentFull time
LocationSan Francisco, California
RemoteNot stated
Visa sponsorshipYes
SalaryNot published, and most postings do not
Posted2025-12-19
Found viaashby, direct from their system

We saw it 9 months after it went up.

The posting, as the company wrote it
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.   WHO YOU ARE - 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 - Experience with Lance or other vector-native storage formats - Background in GPU-accelerated data processing (RAPIDS, cuDF)   WHAT YOU COULD DO - 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 LOGISTICS - 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.

Copied from Exa’s own board, not rewritten. Original ↗

Also open at Exa

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