Software Engineer, Infrastructure

San Francisco, United StatesOn-site

Requirements

Exa is an applied AI lab building a search engine unlike the world has ever seen.
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.
That could mean building GPU cluster orchestration in Kubernetes, map-reduce batchjobs on Ray, or the best observability tooling in the world.
experience designing and operating large-scale infrastructure - GPU clusters or large Kubernetes clusters or cloud batchjob systems - You bring an obsessive mindset — always thinking about reliability, observability, and optimization across the entire stack.
WHAT YOU'LL DO - Build the Kubernetes orchestration on a $20m GPU cluster - Scale our AWS batchjob system to handle map reduce jobs over 10s of thousands of machines - Design GPU scheduling software so we max out our cluster utilization - Build observability into our production systems 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).

We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
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.

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.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google.
Our Infrastructure Team builds the underlying tooling and infrastructure that powers all Exa's systems.
Basically, we need more infra engineers to build the machine that builds the machine so that we can move as fast as possible as an engineering org.