AI/ML Hardware Field Engineering Manager

Google

Austin (TX)

On-site

USD 236,000 - 329,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google Cloud accelerates organizations’ ability to digitally transform using best-in-class infrastructure and solutions. Our AI Infrastructure Engineering Support team provides on-site guidance to customers as a Field Application Engineer Manager (Hardware Engineer).

Individual pay is determined by job-related skills, experience, and education. US: $236000 - $329000 (USD) + 25% bonus target + equity + benefits.

Qualifications

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or IT-related field, or equivalent practical experience.
8 years Linux/Unix experience and debugging across hardware/software boundary on enterprise-grade server infrastructure.
5 years of technical leadership experience.
3 years in technical infrastructure deployment, maintenance, and troubleshooting.
3 years of debug/validation with CPU, dGPU, or TPU.
Experience triaging issues across the stack including hardware faults, firmware, and performance.

Responsibilities

Lead a team for on-call activities, mentorship, and career development.
Diagnose and resolve or instrument tools to improve AI/ML infrastructure productivity.
Work with Product, Quality, and Engineering teams to improve the product and coordinate with SRE.
Develop understanding of AI/ML workloads and hardware architectures to troubleshoot issues.
Advise internal stakeholders to resolve deployment and operational obstacles in AI infrastructure environments.