Senior Software Engineer, AI Compute - Careers

Airbnb

Remote Actively hiring Posted today Verified listing
Remote (San Francisco, CA, US) Posted 1 day ago $191,000–$225,000 / year
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Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $208k
$103k most similar roles pay here $248k

This role pays more than 70% of similar roles. Most pay $142,400–$223,000 — the shaded band above. At the midpoint, this role pays about $208k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

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At a glance

TL;DR

As a Senior Software Engineer on Airbnb’s AI Compute team, you will serve as a technical leader overseeing the Kubernetes-based GPU platform that powers all AI Compute features at scale. Your responsibilities include enhancing reliability, cost efficiency, and developer experience for ML teams globally, while also driving strategic initiatives to improve operational efficiency and security. You will work closely with cross-functional teams to set technical direction, manage project timelines, and execute on large-scale infrastructure projects. The ideal candidate has extensive experience in public cloud environments (AWS, GCP, Azure), Kubernetes, and ML infrastructure optimization, along with a strong background in computer science or equivalent practical experience. This role is pivotal in ensuring that Airbnb’s global community of Guests and Hosts benefits from cutting-edge AI solutions.

Skills

Kubernetes AWS GCP Azure EC2 CI/CD Python Docker Prometheus Grafana Terraform PostgreSQL Git Jenkins Ansible ML Infrastructure LLM Cloud Native Technologies

What you'll do

  • Lead the technical direction of Airbnb’s Kubernetes-based GPU platform.
  • Enhance reliability and cost efficiency for the entire GPU fleet.
  • Design and develop new features to improve ML engineering experience.
  • Manage project priorities and deliverables for high-impact initiatives.
  • Coach and influence a distributed team of engineers on AI Compute projects.
  • Execute multi-year strategy for Airbnb’s AI Compute Platform development.

What we're looking for

  • 5+ years of relevant work experience in infrastructure.
  • BS, MS or Ph.D. in computer science or related field, or equivalent work experience.
  • Expertise with public cloud providers (AWS, GCP, Azure) and their IaaS offerings.
  • Required Kubernetes experience; ML Infrastructure experience preferred.
  • Proven ability to set technical direction and execute on large projects across teams.
  • Passion for efficiency, availability, quality, and developer experience in AI Compute.

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