Director, Engineering, AI Accelerator Cluster Systems
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- 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
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 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.
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
- 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.
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