exa
exa5mo ago

Software Engineer, Distributed Data Systems

United StatesUnited States·San Franciscofull-timemid
Software EngineerSoftware Engineering
1 views0 saves0 applied

Quick Summary

Overview

Exa is building a search engine from scratch to serve every AI agent. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to process it, and design super high performant vector databases in rust to search over it.

Requirements Summary

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…

Technical Tools
kafkarustetlstreaming-data

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

Nice to Have

~1 min read
  • Experience with Lance or other vector-native storage formats

  • Background in GPU-accelerated data processing (RAPIDS, cuDF)

 

Responsibilities

~1 min read
  • 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.

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

Listing Details

Posted
December 19, 2025
First seen
May 6, 2026
Last seen
June 9, 2026

Posting Health

Days active
34
Repost count
0
Trust Level
15%
Scored at
June 10, 2026

Signal breakdown

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exaSoftware Engineer, Distributed Data Systems