Senior AI Infrastructure Field Architect

Google; Chicago (IL); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Job summary

Google Cloud seeks an AI Infrastructure Field Solution Architect to accelerate adoption of TPU and GPU hardware with enterprise customers, guiding on network, compute and storage integration.

You will lead technical discussions, perform on-site facility engagements, and partner with internal teams to remove roadblocks and shape platform capabilities, helping customers deploy scalable AI infrastructure at scale.

Qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 10 years of experience with data center technologies, solutions and their deployment.
• Experience with data center networking, such as routing, switching, DNS, and IP addressing; compute and storage concepts; and operations including power, cooling, and procedures.
• Experience with AI model training and inference, deploying OSS frameworks such as PyTorch, Jax, etc., and optimizing performance versus costs.
• Experience with scripting and coding in Python, YAML, and Kubernetes.

Responsibilities

• Act as a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall business strategy by designing training and inferencing platforms, and incorporating customers' existing data center technologies.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on Proofs of Concept, demonstrating features, optimizing model performance, profiling, and benchmarking.
• Assist in production deployment of Google Cloud accelerators, troubleshoot integration issues with existing compute, networking, and storage solutions, and enable customers to operate their training and inferencing clusters successfully.
• Build repeatable assets to enable other customers and internal teams.
• Collaborate with the AI Infrastructure Dedicated Engineering Team in Google Compute Engine, and scale ML techniques and solutions broadly. Influence Google Cloud strategy at the intersection of infrastructure and AI by advocating for enterprise customer requirements.

Skills

Data center networking

Python

Kubernetes

AI model training

Education

Bachelor's degree in STEM

Tools

PyTorch

JAX

TensorBoard

YAML

Job description

Google Cloud seeks an AI Infrastructure Field Solution Architect to accelerate adoption of TPU and GPU hardware with enterprise customers, guiding on network, compute and storage integration.

You will lead technical discussions, perform on-site facility engagements, and partner with internal teams to remove roadblocks and shape platform capabilities, helping customers deploy scalable AI infrastructure at scale.