# Senior Software Engineer, AI Compute

**Company**: Airbnb
**Location**: Remote - USA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $191,000-$225,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q63327

**Apply**: https://job-boards.greenhouse.io/airbnb/jobs/7568919?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0edca819-502

## Description

Job Title: Senior Software Engineer, AI Compute

Location: Remote - USA

At Airbnb, our mission is to create a world where anyone can belong anywhere. The AI Compute team is responsible for delivering and operating the GPU platform and infrastructure that powers AI at Airbnb.

As a Senior Software Engineer on the AI Compute team, your role is to serve as the technical leader, overseeing the entire lifecycle of Airbnb's Kubernetes-based GPU platform. You will be instrumental in boosting the efficiency and effectiveness of the Cloud Infrastructure organization by significantly enhancing all facets of the Machine Learning (ML) engineering experience.

Responsibilities:

- Provide technical leadership on high-impact projects

- Influence and coach a distributed team of engineers

- Drive reliability, cost efficiency and capability enhancements for GPU fleet

- Facilitate cross-team alignment on goals, outcomes, and timelines

- Manage project priorities, deadlines, and deliverables

- Contribute to and execute the multi-year strategy for Airbnb's AI Compute Platform

- Design, develop, test, deploy, maintain, and enhance the Airbnb AI Compute Platform

Your Expertise:

- BS, MS or Ph.D. in computer science or related field, or equivalent work experience

- 5+ years of relevant work experience in infrastructure

- 2+ years of expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).

- Experience setting technical direction, planning, and successfully executing on large projects spanning multiple teams

- Kubernetes Experience is required.

- ML Infrastructure (LLM fundamentals, tuning, optimization) Experience is preferred.

- Passionate about efficiency, availability, quality and developer experience.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $191,000-$225,000 USD

## Skills

### Required
- BS, MS or Ph.D. in computer science or related field, or equivalent work experience
- 5+ years of relevant work experience in infrastructure
- 2+ years of expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2)
- Kubernetes Experience
- ML Infrastructure (LLM fundamentals, tuning, optimization) Experience

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/airbnb/jobs/7568919?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)