Field AI Hardware Engineer — Cloud Infrastructure

Google; Sunnyvale (CA); On-site; USD 138,000 - 230,000; 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

Sick time 40 hours/year (69 hours/year

Maternity leave 28–30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google is seeking a Field Application Engineer (Hardware Engineer) to support Google Cloud hardware on-site, acting as a trusted advisor to customers and driving hardware analysis, debugging, and issue resolution.

You will collaborate with engineering and product teams to troubleshoot complex issues, research root causes, and develop tools that speed up diagnostics, while engaging with SRE and sales to ensure effective deployment and operation.

Qualifications

• Bachelor's degree in Computer Science, MIS, a related technical field, or equivalent practical experience.
• 4 years of experience in debug or validation with CPU, dGPU, or TPU.
• 3 years of experience with technical infrastructure (deployment or maintenance, and troubleshooting), and with quality and reliability of technical infrastructure.
• 3 years of experience with hardware debug (e.g., silicon, platform, IO interface, or memory analysis).
• Experience with Linux/Unix systems and debugging issues across hardware/software boundary on enterprise-grade server infrastructure.
• Experience troubleshooting and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, or virtualization).

Responsibilities

• Participate in on-call activities for CPU- and TPU-based server work, coordinating with responders to resolve observations.
• Diagnose and resolve customer problems, or create tools to speed AI/ML infra troubleshooting and productivity.
• Collaborate with Product, Quality, and Engineering teams and Site Reliability Engineering to improve the product and services.
• Develop an in-depth understanding of AI/ML workloads and hardware architectures; build tools for faster diagnosis.
• Advise internal stakeholders to resolve deployment and operational obstacles in AI infrastructure environments.

Skills

CPU debugging

dGPU debugging

TPU debugging

System infrastructure

Hardware debugging

Linux/Unix

Troubleshooting across stack

Education

Bachelor's degree in Computer Science, MIS, or related field

Job description

Google is seeking a Field Application Engineer (Hardware Engineer) to support Google Cloud hardware on-site, acting as a trusted advisor to customers and driving hardware analysis, debugging, and issue resolution.

You will collaborate with engineering and product teams to troubleshoot complex issues, research root causes, and develop tools that speed up diagnostics, while engaging with SRE and sales to ensure effective deployment and operation.