Field Application Engineer Manager, Cloud AI Infrastructure
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.
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