Field Application Engineer, Cloud AI Infrastructure
Listing collected from Google's career site. NextChapter is independent of Google.
Kirkland, WA · Posted October 31, 2026
Just laid off? Start here: a plan for the first weeks
More in Washington job market · Technology & Software · Data & Analytics jobs
Where Kirkland, WA ranks
Where Kirkland, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for aerospace and defense pay after cost of living$160k · of 19
- #5Best cities for AI-skill jobs in the Pacific Northwest10% · of 16
- #5Best cities for mid-career professionals in the Pacific Northwest57% · of 16
- #6Best cities for software and engineering jobs in the Pacific Northwest77 openings · of 14
- #7Best cities for junior jobs in Washington25% · of 11
- #9Best college towns for junior jobs in the Pacific Northwest25% · of 13
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Google has filed one layoff notice in the last twelve months, covering 52 workers, most recently August 2026. These are public WARN filings with state labor departments, and an open role can sit alongside them. See the filings
About the job
Minimum qualifications: Bachelor's degree in Computer Science, Management Information Systems, a related technical field, or equivalent practical experience. 2 years of debug or validation experience with CPU, dGPU, or TPU. 2 years of experience with technical infrastructure (deployment or maintenance, and troubleshooting), and quality and reliability of technical infrastructure. 2 years of experience with hardware debug (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, virtualization, kernel drivers, firmware, or performance).