AI Cloud Infrastructure Platform Engineer

Google; Kirkland (WA); Hybrid; USD 159,000 - 230,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

13 paid holidays

Job summary

Google is seeking a Platform Application Engineer (Hardware Engineer) to join the AI Infrastructure Engineering Support team. You will diagnose and resolve deep hardware issues, work with engineering and product teams, and drive platform improvements across AI/ML workloads.

In this role you will engage with SRE teams, optimize deployments, and help customers maximize Google Cloud hardware investments, including on-prem and cloud environments.

Qualifications

• Bachelor's degree in Computer Science, MIS, or related field, or equivalent practical experience.
• 4 years of debug/validation experience with CPU, dGPU, or TPU.
• 4 years of experience with technical infrastructure deployment, maintenance and troubleshooting.
• 3 years of hardware debug (silicon/platform IO/memory analysis).
• Experience debugging across stack: hardware faults, kernel drivers, firmware, or performance.
• Experience with Linux/Unix systems and debugging across hardware/software boundary on enterprise servers.

Responsibilities

• Manage customer problems through diagnosis, resolution, or new tooling for AI/ML infra.
• Collaborate with Product, Quality, and Engineering teams; interface with SRE for behavior insights.
• Debug platform hardware and silicon issues; drive root-cause and permanent improvements.
• Understand AI/ML workloads and hardware architectures; build tools for faster diagnosis.
• Act as a consultant for internal stakeholders to resolve deployment and operational obstacles.

Skills

Distributed systems

AI/ML hardware

Memory & IO tech

SRE collaboration

Education

Bachelor's degree in CS or related field

Tools

Kubernetes

Slurm

TensorFlow

PyTorch

Linux

Job description

Google is seeking a Platform Application Engineer (Hardware Engineer) to join the AI Infrastructure Engineering Support team. You will diagnose and resolve deep hardware issues, work with engineering and product teams, and drive platform improvements across AI/ML workloads.

In this role you will engage with SRE teams, optimize deployments, and help customers maximize Google Cloud hardware investments, including on-prem and cloud environments.