Cloud AI Infrastructure Field Engineer

Google; Town of Montana (WI); Vor Ort; USD 159.000 - 230.000; Vollzeit

Benefits dieser Stelle

Health benefits

401(k) with company match

PTO 20 days

Sick leave 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 paid days

Zusammenfassung

Google Cloud is seeking a Field Application Engineer (Hardware Engineer) to be an on-site, external-facing advisor for customers, driving hardware analysis, debugging, and issue resolution. You will conduct in-depth research into complex issues, troubleshoot across the platform, and provide expert solutions to help customers innovate with confidence.

You will partner with engineering and product teams to drive continuous improvement in Google Cloud hardware offerings and services, supporting

Qualifikationen

• Bachelor's degree in Computer Science, Management Information Systems, 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).

Aufgaben

• 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.

Kenntnisse

CPU/TPU debugging

System infrastructure

Hardware debugging

Linux/Unix debugging

Troubleshooting across stack

AI/ML hardware

Systems automation

Vendor/customer experience

Distributed systems

ML frameworks

Memory/IO tech

Ausbildung

Bachelor's degree in Computer Science or related field

Jobbeschreibung

Google Cloud is seeking a Field Application Engineer (Hardware Engineer) to be an on-site, external-facing advisor for customers, driving hardware analysis, debugging, and issue resolution. You will conduct in-depth research into complex issues, troubleshoot across the platform, and provide expert solutions to help customers innovate with confidence.

You will partner with engineering and product teams to drive continuous improvement in Google Cloud hardware offerings and services, supporting