Software Engineer, Infrastructure
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 180 - 350
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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. If you like compute we also own a $5M H200 GPU cluster (and soon 5xing that) and regularly spin up batchjobs with tens of thousands of machines.
Our Infrastructure Team builds the underlying tooling and infrastructure that powers all Exas 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. That could mean building GPU cluster orchestration in Kubernetes map-reduce batchjobs on Ray or the best observability tooling in the world.
Who You Are
You have 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 Youll 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
This is an in-person opportunity in San Francisco. We are open to sponsoring international candidates (e.g. STEM OPT OPT H1B O1 E3).
Required Experience:
IC
About Company
Real-time AI search engine with a powerful web search API, web crawling API, SERP API, and deep research tools. Search and extract structured content from websites and live data.
