AI Infrastructure Cloud Engineer I

Google; Atlanta (GA); On-site; USD 104,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off

Sick Time

Maternity Leave

Baby Bonding Leave

Holidays

Job summary

Google Cloud is seeking a Practice Customer Engineer specializing in AI Infrastructure to partner with technical Sales teams to incubate, pilot, and deploy Google Cloud’s industry-leading AI/ML accelerators (TPU/GPU) for AI startups and large enterprises. You will help customers innovate faster using Google Cloud’s flexible, open infrastructure.

You will identify large-scale AI opportunities and integrate accelerators into customers’ cloud strategies by running model benchmarks, developing

Qualifications

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 4 years of experience with cloud infrastructure.
• Experience building and operationalizing machine learning models.
• Experience in delivering technical presentations, leading discovery and planning sessions.

Responsibilities

• Be a trusted advisor to our customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof of concepts, demonstrating features, optimizing model performance, profiling, and benchmarking.
• Build repeatable assets to enable other customers and internal teams.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Travel to customer sites and events as needed.

Skills

Cloud infrastructure

ML model development

Executive communication

Technical presentations

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

TensorFlow

PyTorch

TensorBoard

Job description

Google Cloud is seeking a Practice Customer Engineer specializing in AI Infrastructure to partner with technical Sales teams to incubate, pilot, and deploy Google Cloud’s industry-leading AI/ML accelerators (TPU/GPU) for AI startups and large enterprises. You will help customers innovate faster using Google Cloud’s flexible, open infrastructure.

You will identify large-scale AI opportunities and integrate accelerators into customers’ cloud strategies by running model benchmarks, developing