Senior AI Infrastructure Platform Engineer

Google LLC; Kirkland, Sunnyvale (WA, CA); On-site; USD 164,000 - 274,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

401(k) with company match

PTO: 20 days/year

Sick time: 40 hours/year

Maternity leave: 28–30 weeks

Baby bonding leave: 18 weeks

Holidays: 13 paid days/year

Job summary

Google LLC in the United States is seeking a Senior Platform Application Engineer to advance AI infrastructure hardware solutions. You will drive deep hardware analysis, debugging, and resolutions across complex platforms, collaborating with engineering and product teams to improve Google Cloud AI hardware offerings.

This role involves solving customer observations, building permanent platform improvements, and contributing to scalable AI workloads across CPU, GPU, and TPU architectures.

Qualifications

• Bachelor's degree in CS, MIS, or related field, or equivalent practical experience.
• 6 years of experience with technical infrastructure deployment, maintenance, and troubleshooting.
• 6 years of CPU, dGPU, or TPU debugging experience.
• 5 years hardware debugging (silicon, platform, IO, or memory).
• Experience debugging across hardware/software stack and enterprise-grade server infra.

Responsibilities

• Manage customers' problems through diagnosis, resolution, or new investigation tools to increase productivity on AI/ML infrastructure.
• Collaborate with Product, Quality, and Engineering teams; interact with SRE teams for behavior understanding.
• Debug platform hardware and silicon-related issues to drive root-cause resolution and permanent improvements.
• Understand AI/ML workloads and underlying hardware architectures; build faster diagnosis tools.
• Act as a consultant to internal stakeholders to resolve deployment obstacles in AI infrastructure environments.

Skills

CPU/GPU/TPU debugging

Linux/Unix debugging

Distributed systems

AI/ML hardware

Kubernetes/Slurm

Performance debugging

Education

Bachelor's degree in CS, MIS or related field

Tools

Kubernetes

Slurm

TensorFlow

PyTorch

Job description

Google LLC in the United States is seeking a Senior Platform Application Engineer to advance AI infrastructure hardware solutions. You will drive deep hardware analysis, debugging, and resolutions across complex platforms, collaborating with engineering and product teams to improve Google Cloud AI hardware offerings.

This role involves solving customer observations, building permanent platform improvements, and contributing to scalable AI workloads across CPU, GPU, and TPU architectures.