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Software Engineer, Distributed Data Systems

Exa LabsExa Labs·Artificial Intelligence

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~7 min

Ashby

Posted

178 days

01

About the role

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.

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Aplyr's read

Exa Labs is an AI-driven platform enhancing decision-making with advanced analytics, ideal for tech-savvy professionals interested in cutting-edge machine learning applications.

Synthesized from recent postings & public sources

What's promising

  • Exa Labs leverages cutting-edge AI to optimize decision-making processes.
  • The company has a diverse range of roles, indicating robust growth and varied opportunities.
  • Exa Labs focuses on advanced analytics, appealing to data-driven professionals.

What to watch

  • High competition in the AI sector may impact Exa Labs' market share.
  • Rapid growth could lead to potential challenges in maintaining company culture.
  • Limited public information about financial stability and long-term viability.

Why Exa Labs

  • Exa Labs specializes in enhancing decision-making through AI, a niche focus.
  • The company offers roles in emerging fields like web crawling and distributed data systems.
  • Exa Labs combines AI with advanced analytics for a specialized product offering.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About Exa Labs

Exa is an AI-driven platform that focuses on enhancing decision-making processes through advanced analytics and machine learning.

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