Director, Engineering, AI Accelerator Cluster Systems

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., * Lead end-to-end New Product Introduction (NPI) for server/rack/clusters, building AI infrastructure focused on custom networking, liquid cooling, and rack density.

• Oversee the core bare-metal software stack, including OS, drivers, firmware, and accelerator release management.
• Design systems with direct GPU/TPU access to ensure low latency and high compute density for foundation model training.
• Partner across teams to optimize the end-to-end AI accelerator stack, from large-scale networking to Kubernetes.
• Collaborate with Product and GTM leaders to define the multi-year strategy for bare-metal AI infrastructure.

• 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., * Experience with New Product Introduction for server/rack and cluster products in AI Infrastructure.
• Experience building, scaling cloud platforms or high-performance computing infrastructure in a 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).
• Technical expertise in bare metal provisioning, advanced accelerators (TPUs/GPUs), and high-performance cluster networking.
• Technical expertise in ML workloads, AI infrastructure scaling, and the unique performance requirements of foundation models.
• Strong executive communication skills, with the ability to simplify complex silicon-to-software co-design topics to influence leadership and company strategy.

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, 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

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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.