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Field Application Engineer, Cloud AI Infrastructure

Google
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Kirkland, WA, USA$132k - $189kFull-timePosted 3w ago

About the role

On-site, external-facing hardware-focused engineering support role in Google Cloud, driving hardware analysis, debug, and issue resolution to help customers optimize AI infrastructure.

Responsibilities

  • Participate in on-call activities and manage server and data center CPU- and TPU-based activities, working with primary responders to resolve customer system observations.
  • Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
  • Work closely with Product, Quality, and Engineering teams to improve the product. Interact with our Site Reliability Engineering (SRE) teams to drive high-quality attainment.
  • Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer-reported issues, and building tools for faster diagnosis.
  • Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.

Qualifications

  • 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).

Skills

Required:CPU/TPU debug and validationTechnical infrastructure deployment and troubleshootingHardware debuggingLinux/Unix debugging across hardware/software boundaryTroubleshooting across stack

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Last updated Oct 23, 2026. Interested? Apply on the company site.

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