← All roles

Field Application Engineer Manager, Cloud AI Infrastructure

Apply on company site
Hybrid (Austin, TX; Kirkland, WA)$236k - $329kPosted 4w ago

About the role

Field Application Engineer Manager (Hardware Engineer) leading a customer-facing team supporting Google Cloud AI/ML hardware infrastructure.

Responsibilities

  • Lead a team that will participate in on-call activities, working with the primary responders to resolve system observations. Provide leadership, mentorship, and career development for team members.
  • Manage customer problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
  • Work closely with multiple Product, Quality, and Engineering teams to improve the product, and 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.

Skills

Required:Team leadershipTechnical leadershipLinux/UnixTechnical infrastructureDebug/validation hardware

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year
  • Sick Time: 40 hours/year (Seattle 69 hours/year)
  • Maternity Leave: 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.

About Google

Google Search homepage

llmtext-to-speechvoice-ai-stack

More open roles at Google