Director, Engineering, AI Accelerator Cluster Systems

Director, Engineering, AI Accelerator Cluster Systems

In 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: Seattle, WA, USA; Kirkland, 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