Senior AI Infra Platform Engineer: Cloud Hardware & Debug

Google; Sunnyvale (CA); On-site; USD 188,000 - 274,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off (vacation) 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays per year

Job summary

Google is hiring for an AI Infrastructure Platform Application Engineer (Hardware Engineer) to diagnose and resolve complex hardware observations, drive deep analysis and root-cause fixes across AI/ML infrastructure.

You will partner with engineering and product teams to continuously improve hardware platforms and software for customers using Google Cloud. The role requires extensive experience with server hardware, Linux, and debugging across the stack.

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 6 years of experience with technical infrastructure deployment, maintenance, and troubleshooting.
• 6 years of debug/validation experience with CPU, dGPU, or TPU.
• 5 years of hardware debugging (silicon/platform IO/interface/memory).
• Experience debugging across hardware/software stack (hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance).
• Experience with Linux/Unix systems and debugging across hardware/software boundaries on enterprise-grade server infrastructure.

Responsibilities

• Manage customer problems through effective diagnosis, resolution, or new tool development to improve AI/ML infrastructure productivity.
• Collaborate with Product, Quality, and Engineering teams to improve products and support Site Reliability Engineering teams.
• Debug platform hardware and silicon-related issues to drive root-cause resolution and permanent improvements.
• Understand AI/ML workloads and hardware architectures; troubleshoot, reproduce, identify causes, and build faster diagnosis tools.
• Act as a consultant for internal stakeholders to resolve deployment and operational challenges in AI infrastructure environments.

Skills

Platform debugging

Hardware debugging

AI/ML hardware

Linux/Unix

Cross-stack debugging

Education

Bachelor's degree in Computer Science or related field

Tools

Linux/Unix systems

CPU/dGPU/TPU hardware

Kubernetes/Slurm familiarity

Job description

Google is hiring for an AI Infrastructure Platform Application Engineer (Hardware Engineer) to diagnose and resolve complex hardware observations, drive deep analysis and root-cause fixes across AI/ML infrastructure.

You will partner with engineering and product teams to continuously improve hardware platforms and software for customers using Google Cloud. The role requires extensive experience with server hardware, Linux, and debugging across the stack.