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.
Our Infrastructure Team builds the underlying tooling and infrastructure that powers all Exa's systems. Basically, infra engineers 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.
You’re obsessed with scale and complex distributed systems
You have an aversion to ClickOps and would always build an automation
You max out OSS models’ GPU flops utilization just for the challenge
You play with Arch or NixOS as a personal driver for fun or ideology
You’re passionate and discerning about AI tooling — AI can 10x our velocity but also 10x the strain on our systems (CI, etc) and that challenge excites you
Scale infrastructure to process the whole web on GPUs cost efficiently
Orchestrate multi-region, multi-cloud inference and training on GPUs
Ship a new version of our LLM gateway
Make the world's most advanced build cache with Nix
Build custom CI and code infrastructure that scales for our agent fleet
Automate software maintenance and improvements for the whole company
Location: This is an in-person opportunity in Singapore.
Visas: We’re happy to sponsor international candidates! 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.
Skills Required
- Experience designing and operating large-scale infrastructure
- Experience with GPU clusters or Kubernetes clusters
- Experience with cloud batchjob systems
What We Do
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.
