exa
exa3mo ago

Software Engineer, Infrastructure

SingaporeSingaporefull-timemid
Software EngineerSoftware Engineering
2 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.

Key Responsibilities

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…

Requirements Summary

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…

Technical Tools
awskubernetesrust

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, 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.

  • 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.

Responsibilities

~1 min read
  • 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

  • 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.

Location & Eligibility

Where is the job
Singapore
On-site within the country
Who can apply
SG

Listing Details

Posted
February 23, 2026
First seen
May 6, 2026
Last seen
June 19, 2026

Posting Health

Days active
44
Repost count
0
Trust Level
15%
Scored at
June 20, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

exaSoftware Engineer, Infrastructure