Fleet Health Team Tech Lead, Emerging On-prem AI Infrastructure
Google · Kirkland, WA | New York City, NY | Sunnyvale, CA
About this role
Google is hiring a technical_lead-level AI Infrastructure Engineer in the machine learning function based in Kirkland, WA | New York City, NY | Sunnyvale, CA. The posting calls out experience with GCP, Distributed Systems, Embedded Systems, Vertex AI. Compensation is listed at $207,000–$300,000 per year.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- technical_lead
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Kirkland, WA | New York City, NY | Sunnyvale, CA
- Posted
- May 12, 2026
More roles at Google
Job description
from Google careersGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will have exposure to integrated AI infrastructure systems (GPU or TPU), from software to hardware design and workload management, to developing large-scale training and inference workloads, and optimizing performance. You will be building large AI clusters using the latest technologies for AI acceleration and cluster interconnects and networking.