Director of Engineering, GPU Instances and Infrastructure

Google’s AI and Infrastructure (AI2) organization builds the technical foundation behind Google’s products as well as for Google Cloud’s compute and AI/ML offerings. We manage the underlying design elements, developer platforms, product components, and infrastructure at Google.

Google Compute Engine (GCE) is a cloud computing platform that empowers its users with a comprehensive suite of VM and Bare Metal instances for general compute, compute-optimized, memory-optimized, storage-optimized, and GPU/ TPU-accelerated workloads. GCE is one of Google Cloud Platform's (GCP) core services, and it is used by businesses of all sizes, from startups to enterprises running AI/ML, cloud native, and mission critical enterprise services. GCE is committed to driving cloud computing excellence for Google and the world. Our aim is to make it easier for developers to build, deploy, and manage scalable and cost-effective cloud applications. We work closely with hardware partners and Google’s engineering teams to harness the latest advancements in CPU (i.e. x86/ARM), Storage, Network, and GPU/TPU virtualization, all backed by security, reliability, and performance.

Additionally, we operate and maintain the infrastructure that provides public cloud infrastructure for customers to scale their operations. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $428000 (USD) + 30% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

• Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
• 15 years of experience as an engineering leader.
• Experience in cloud computing, hardware acceleration, GPU infrastructure, computer architecture, and software engineering.
• Experience with technical innovation within cross-functional engineering environments.

Preferred qualifications:

• Experience in iterative development model.
• Experience working with a service mindset and delivering on complex engineering solutions.
• Experience leading and managing high-performing engineering teams in a fast-paced, demanding environment.
• Expertise in engaging with senior stakeholders and managing competing opinions and viewpoints.
• Expertise in collaborating with partners and customers to solve problems.