Field AI Infrastructure Engineer - Cloud Hardware Expert

Google LLC; Kirkland (WA); On-site; USD 132,000 - 189,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days per year

Sick time 40 hours/year

Maternity leave

Job summary

Google Kirkland, WA is seeking a Field Application Engineer to serve as a trusted advisor on on-site hardware analysis, debugging, and issue resolution for Google Cloud AI infrastructure. You will conduct in-depth investigations into complex technical problems, troubleshoot across the platform, and deliver expert solutions that enable customers to innovate confidently.

You will collaborate with Product, Quality, and Engineering teams, interact with Site Reliability Engineers, and help drive

Qualifications

• Bachelor's degree in Computer Science, MIS, or related field, or equivalent practical experience.
• 2 years of debug or validation with CPU, dGPU, or TPU.
• 2 years of experience with technical infrastructure deployment, maintenance, and troubleshooting.
• 2 years of hardware debug (silicon, platform IO, memory analysis).
• Experience with Linux/Unix and debugging across hardware/software boundary.
• Experience triaging issues across the stack (hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance).

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.

Skills

Field Applications Engineering

Hardware debugging

Linux/Unix proficiency

Cross-functional collaboration

Education

Bachelor's degree in CS/MIS or related

Tools

Linux debugging tools

System validation

CPU/GPU/TPU hardware

Job description

Google Kirkland, WA is seeking a Field Application Engineer to serve as a trusted advisor on on-site hardware analysis, debugging, and issue resolution for Google Cloud AI infrastructure. You will conduct in-depth investigations into complex technical problems, troubleshoot across the platform, and deliver expert solutions that enable customers to innovate confidently.

You will collaborate with Product, Quality, and Engineering teams, interact with Site Reliability Engineers, and help drive