# Field Application Engineer, Cloud AI Infrastructure at Google

- Company: Google
- What the company does: Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
- Company website: https://about.google/
- Type: Startups (AI role)
- Level: Mid level
- Location: United States
- Work setup: On-site
- Posted: 2026-09-25
- Apply by: 2026-11-09
- Apply: https://www.google.com/about/careers/applications/jobs/results/113301191688889030-field-application-engineer-cloud-ai-infrastructure
- Page: https://www.1752.vc/careers/jobs/google-field-application-engineer-cloud-ai-infrastructure/

## About the role

Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Field Application Engineer (Hardware Engineer), you will be an on-site, external-facing trusted advisor to customers, driving hardware analysis, debug, and issue resolution. You will do in-depth research into complex technical issues, troubleshoot critical issues across the platform, and provide expert solutions that help customers innovate with confidence.

## What they're looking for

- Bachelor's degree in Computer Science, Management Information Systems, a related technical field, or equivalent practical experience
- 2 years of debug or validation experience with CPU, dGPU, or TPU
- 2 years of experience with technical infrastructure (deployment or maintenance, and troubleshooting), and with quality and reliability of technical infrastructure
- 2 years of experience with hardware debug (e.g., silicon, platform, IO interface, or memory analysis)
- Experience with Linux/Unix systems and debugging issues across hardware/software boundary on enterprise-grade server infrastructure
- Experience troubleshooting and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance)

