Director, Engineering, AI Accelerator Cluster Systems

Director, Engineering, AI Accelerator Cluster Systems - Google Careers

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Director, Engineering, AI Accelerator Cluster Systems

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corporate_fareGoogleplaceKirklandas, WA, USA; Seattle, WA, USAbar_chartDirector+

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirklandas, WA, USA; Seattle, WA, USA.

Minimum qualifications:

• Master"s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 15 years of professional engineering experience.
• 5 years of experience in a senior leadership role managing large-scale infrastructure or systems teams.
• Experience in engineering leadership managing both physical systems design (electrical/mechanical) and the software stack (operating systems, firmware, and drivers) for networking or computing products.

Preferred qualifications:

• Experience building and scaling cloud platforms or high-performance computing infrastructure in a fast-paced, dynamic environment.
• Exposure to, or experience with, physical data center engineering, infrastructure certification, and physical constraints (e.g., custom cooling schemes, power delivery, rack density).
• Strong executive communication skills, with the ability to simplify complex silicon-to-software co-design topics to influence senior leadership and company strategy.
• Technical expertise in bare metal provisioning, advanced accelerators (TPUs/GPUs), and high-performance cluster networking.
• Deep technical expertise in ML workloads, AI infrastructure scaling, and the unique performance requirements of foundation models.

About the job

As the Director, Engineering, AI Accelerator Cluster Systems you will be responsible for driving the provisioning architecture, cluster operations experience, physical-to-software integration, and overall operator experience for Google Cloud's bare metal accelerator infrastructure. In this role, you will sit at the intersection of physical systems engineering and the underlying software stack, leading strategic efforts to deliver AI infrastructure on prem.

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 + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Build physical infrastructure and custom networking, while designing data centers focused on custom cooling, rack density, and CDU placement.

• Oversee the core bare-metal software stack, including drivers, OS, firmware, and accelerator release management.

• Engineer systems with direct GPU/TPU access, ensuring high compute density and low latency for training foundation models.

• Partner cross-functionally to optimize the end-to-end AI accelerator stack from large-scale networking to Kubernetes.

• Collaborate with product and GTM leaders to shape the multi-year bare-metal AI infrastructure strategy.

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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