Cloud AI Infrastructure Platform Engineer

Google LLC

Austin, Kirkland (TX, WA)

On-site

USD 159,000 - 230,000

Full time

7 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

PTO 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Holidays 13 days

Equity + bonuses

Job summary

Google LLC invites applications for a Share Platform Application Engineer in Cloud AI Infrastructure based in Austin, TX (or Kirkland, WA). You will investigate hardware observations, perform deep hardware analysis, and deliver long-term platform improvements across AI workloads.

The role emphasizes collaboration with engineering teams to drive product quality and scalable deployments, with a competitive compensation package.

Qualifications

Bachelor's degree in CS, MIS, or related technical field, or equivalent experience.
4+ years debugging/validation with CPU, dGPU, or TPU.
4+ years of infrastructure deployment, maintenance, and troubleshooting.
3+ years hardware debugging (silicon/platform/IO/memory).
Experience debugging issues across hardware/software stack and with Linux/Unix.

Responsibilities

Manage AI/ML infrastructure problems through diagnosis, resolution, or tooling.
Collaborate with Product, Quality, and Engineering teams to improve products.
Debug platform hardware and silicon issues to drive root-cause resolution.
Understand AI/ML workloads and hardware architectures to aid faster diagnosis.
Act as SME for internal stakeholders to resolve deployment obstacles in AI infra.