Director, Google Compute Engine, AI/ML Systems and Solutions

Company Name: Google

Job Overview

The GCE (Google Compute Engine) AI/ML Systems and Solutions team develops turnkey solutions that enable customers to train state-of-the-art machine learning models and deploy them at scale on GCE’s platform. Given the diversity of AI workloads, these systems and solutions play a key role in scaling customer adoption and business growth for GCE’s AI portfolio of products.

Responsibilities

• Develop the strategy for AI solutions on all accelerator instances in Google Cloud Platform (GCP), working closely with partner teams inside and outside of Google to leverage advancements in GPU and TPU technologies.
• Build and grow a robust team of technical leads and engineers to execute on a multi-year roadmap.
• Lead the team to maintain and improve product, engineering, operational, and support excellence to ensure the reliable and high-performance operation of our fleet of accelerator instances and support for large, enterprise customers.
• Collaborate closely with cross-functional teams inside and outside of Google to ensure the timely delivery of new product initiatives.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 15 years of experience in machine learning, cloud computing, distributed systems architecture, and software engineering.
• 10 years of leadership experience, including building and managing teams.
• 10 years of experience working with hyperscalers and enterprise customers in the AI/ML domain.

Preferred Qualifications

• Master's degree or PhD in Computer Science, Engineering, or related field.
• 20 years of experience in machine learning, cloud computing, large-scale distributed systems architecture, and software engineering.
• 15 years of experience building and leading high-performing engineering teams in a fast-paced environment.
• 15 years of experience working with hyperscalers and large enterprise customers in the AI/ML domain.
• Understanding of AI training and inference workflows, including model architectures, training strategies, and deployment paradigms.
• Excellent problem-solving skills and the ability to think strategically about complex technical challenges.

About Google Cloud

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Salary and Benefits

The US base salary range for this full-time position is $278,000 - $399,000, with additional bonus, equity, and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Compensation details listed in US role postings reflect the base salary only and exclude bonus, equity, and benefits. Learn more about .

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