Director, Technical Program Management, ML Infrastructure Deployment

Director, Technical Program Management, ML Infrastructure Deployment - Google Careers

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Director, Technical Program Management, ML Infrastructure Deployment

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Minimum qualifications:

• Bachelor"s degree in Engineering or equivalent practical experience
• 15 years of experience in ML infrastructure planning or deployment - in NPI or production

Preferred qualifications:

• Master"s degree in Engineering
• Solid understanding of infrastructure deployment processes, dependencies, constraints and acceleration approaches

About the job

Google's AI & Infrastructure (AI2) team is responsible for the global infrastructure that powers Google. We do everything from designing and building gigawatts of data centers and petabits of networks around the world, to designing and manufacturing the servers, AI accelerators, and optical switches which comprise our fleet, to developing the infrastructure software which runs on that fleet and underpins all Google's multi-billion-user services and Cloud platforms.

Our organization delivers sustainable and resource-efficient infrastructure that supports Google and our customers. We provide a foundation that operates safely, securely, and sustainably, and are chartered with ensuring Google's data center landscape can support rapidly changing demand while delivering on Google's commitment to sustainability.

We seek a leader that will be responsible for driving execution of current ML infrastructure deployments and working closely with all partner teams involved.

In this key leadership role, you will be a key lead responsible for managing the execution and orchestration of ML infrastructure deployment for Google Product Areas and external customers. In addition, you'll be a key stakeholder in ensuring that our ML infrastructure planning is robust and comprehensive.

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: $281000 - $392000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Work with planning leads to develop executable and deployment plans for Google's ML infrastructure. Ensure ML infrastructure plans make efficient use of power and cooling at a data center level.
• Drive execution of ML infrastructure deployments, ensuring timely delivery to meet Google"s demand. Oversee execution escalations to ensure timely closure of issues and on-time delivery of capacity.
• Lead, mentor, and develop a high-performing team of execution leads for TPU/GPU platforms. Manage and allocate staff, budget, and resources effectively to achieve key objectives.
• Lead and influence cross-functional ML workstreams in a matrix environment to deliver outstanding acceleration outcomes.
• Work closely with leads in functional areas and data centers to drive scalable execution and acceleration at a multi-GW scale. Establish key performance indicators (KPIs) and metrics to monitor and improve the effectiveness of planning and execution.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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