Lead AI Hardware Field Engineering Manager

Google; Kirkland (WA); On-site; USD 236,000 - 329,000; Full time

Benefits offered by this job

Health and welfare benefits

401(k) with company match

Paid time off 20 days

Sick time 40 hours/year (69 Seattle)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google Cloud accelerates organizations by delivering enterprise-grade AI infrastructure solutions. The AI Infrastructure Engineering Support team provides on-site, trusted advisory services to customers, with a focus on hardware and AI workloads within Google Cloud environments.

The role of Field Application Engineer Manager (Hardware Engineer) involves leading a team, driving incident resolution, and partnering with multiple engineering teams to optimize AI infrastructure deployments at

Qualifications

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or IT-related field, or equivalent practical experience.
• 8 years of experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure.
• 5 years of experience in technical leadership.
• 3 years of experience with technical infrastructure (deployment, maintenance, troubleshooting) and with quality and reliability of infrastructure.
• 3 years of debug or validation experience with CPU, dGPU, or TPU.
• Experience troubleshooting across the stack: hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance.

Responsibilities

• Lead a team that will participate in on-call activities and resolve system observations.
• Manage customer problems through diagnosis, resolution, or new tools to improve AI/ML infrastructure.
• Collaborate with Product, Quality, and Engineering teams and with SRE to improve products and achieve high-quality outcomes.
• Develop in-depth understanding of AI/ML workloads and hardware architectures by troubleshooting and building faster diagnosis tools.
• Act as a consultant for internal stakeholders to resolve deployment and operational obstacles in AI infrastructure environments.

Skills

Linux/Unix

Technical Leadership

Infrastructure Mgmt

Stack debugging

CPU/dGPU/TPU testing

Troubleshooting across stack

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Slurm

Job description

Google Cloud accelerates organizations by delivering enterprise-grade AI infrastructure solutions. The AI Infrastructure Engineering Support team provides on-site, trusted advisory services to customers, with a focus on hardware and AI workloads within Google Cloud environments.

The role of Field Application Engineer Manager (Hardware Engineer) involves leading a team, driving incident resolution, and partnering with multiple engineering teams to optimize AI infrastructure deployments at