← Back to results

Software Engineer, Distributed Data Systems

Join Exa as a Data Engineer to build massive-scale data infrastructure for a revolutionary AI-powered search engine.

Location
San Francisco, California
Compensation
Not disclosed
Level
mid
Type
full time · On-site

Posted by employer 8 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Exa → Save job Scanned from exa.ai

AI in the day-to-day

Engineers will build massive-scale ML systems that define how AI consumes information.

Requirements

Visa
Sponsorship available

Not disclosed in this posting: compensation, years of experience.

Benefits

Wellness Stipend Health Insurance Parental Leave

Joblaze summary

In this role, the Software Engineer will focus on designing and building the data infrastructure that supports Exa's ambitious AI-driven search engine, handling vast amounts of web data and real-time indexing. Key skills include expertise in lakehouse architectures, experience with large-scale distributed data processing, and familiarity with streaming data systems. This position is ideal for seasoned engineers with a strong background in data systems who thrive in high-autonomy environments. Exa's innovative approach and significant funding position it as a leader in the evolving AI landscape.

Joblaze insights

Quick facts

Is the Software Engineer, Distributed Data Systems role remote?
No — this is an on-site role in San Francisco, California.
Where is the role based?
Exa is hiring for this position in San Francisco, California.
What's the tech stack?
Joblaze extracted these technologies from the posting: ClickHouse, Delta Lake, Flink, Hudi, Iceberg, Kafka.
Does Exa sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Exa targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer, Distributed Data Systems role at Exa.

From the original posting

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.

Similar positions

Exa
Software Engineer, Infrastructure
Exa · San Francisco, California
Exa
Software Engineer, Backend
Exa · San Francisco, California
Exa
Software Engineer, Full Stack
Exa · San Francisco, California
Exa
Software Engineer, Knowledge Systems
Exa · San Francisco, California
Exa
Research Engineer, Generalist
Exa · San Francisco, California