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Director of AI
Director of Engineering, AI Infrastructure
Google · Technology / Cloud / AI · 📍 Kirkland, WA
Google is hiring a senior engineering director to lead the hardware/software systems powering its custom AI accelerator clusters (TPUs and related infrastructure), a critical function as AI compute demand explodes internally and via Google Cloud.
Reports to
VP Engineering or CTO (Infrastructure/AI division)
Company stage
public
Source
linkedin
Key responsibilities
- Lead engineering teams designing, deploying, and scaling AI accelerator cluster systems (likely TPU pods and interconnects)
- Partner with hardware, ML, and cloud infrastructure teams to define and execute the technical roadmap for AI compute clusters
- Drive system reliability, performance optimization, and scalability for AI training and inference workloads
- Recruit, develop, and retain senior engineering talent across systems and infrastructure disciplines
- Represent the team in cross-functional planning with product, research, and Google Cloud leadership
Requirements
- Proven experience leading large engineering organizations building distributed systems or hardware/software co-design
- Deep technical background in AI/ML infrastructure, HPC, or accelerator (GPU/TPU/custom ASIC) cluster systems
- Track record of delivering large-scale, high-reliability infrastructure at internet scale
Signals
- ⚠ No salary range disclosed — unusual given Washington State pay transparency laws, may warrant scrutiny
- ⚠ No job description body provided — full scope and expectations unclear
- ✓ Google is one of the world's foremost AI compute operators — role has enormous real-world impact and resources
- ✓ AI Accelerator Cluster Systems is a board-level strategic priority for Alphabet given AI investment race
- ✓ Kirkland engineering campus is a serious, well-resourced Google engineering hub
- ✓ High likelihood of significant RSU compensation tied to Alphabet stock