AI Cloud Infrastructure Field Engineering Manager

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

Benefits offered by this job

Health insurance and related benefits

401(k) with company match

Paid time off

Sick time

Maternity leave

Holidays

Job summary

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure and expertise. Our AI Infrastructure Engineering Support team provides on-site advisory to customers as part of Field Application Engineer Management (Hardware Engineer) roles.

Join a team guiding AI hardware deployments, troubleshooting across hardware/software boundaries, and leading a group of engineers dedicated to delivering robust AI infrastructure solutions at scale.

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 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, and troubleshooting, and with quality and reliability of technical infrastructure.
• 3 years of debug or validation experience with CPU, dGPU, or TPU.
• Experience troubleshooting and triaging technical issues 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 provide leadership, mentorship, and career development for team members.
• Manage customer problems through diagnosis, resolution, or new investigation tools to increase productivity on AI/ML infrastructure.
• Work with Product, Quality, and Engineering teams and interact with SRE teams to drive high-quality attainment.
• Develop understanding of AI/ML workloads and hardware architectures by troubleshooting and building tools for faster diagnosis.
• Act as a consultant for internal stakeholders to resolve deployment and operational obstacles in AI infrastructure environments.

Skills

Linux/Unix

Technical leadership

System debugging

Infrastructure deployment

CPU/dGPU/TPU debugging

Troubleshooting across stack

Education

Bachelor's degree in Computer Engineering / CS / IT

Tools

Kubernetes

Slurm

Containers/Docker

Job description

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure and expertise. Our AI Infrastructure Engineering Support team provides on-site advisory to customers as part of Field Application Engineer Management (Hardware Engineer) roles.

Join a team guiding AI hardware deployments, troubleshooting across hardware/software boundaries, and leading a group of engineers dedicated to delivering robust AI infrastructure solutions at scale.