Staff Software Engineer, Google Kubernetes Engine AI Training

Google Cloud is seeking a Staff Software Engineer to lead the evolution of Google Kubernetes Engine for AI Training. This role combines deep technical expertise in distributed systems, AI/ML, and cloud infrastructure. You'll work at the intersection of cutting-edge AI technology and enterprise-scale cloud computing, helping shape how billions of users interact with Google's services.

As a technical leader, you'll drive high-impact projects that define the future of AI model training on Kubernetes. You'll be responsible for designing and implementing large-scale software solutions while mentoring a talented engineering team. The role requires expertise in AI frameworks like TensorFlow and PyTorch, along with deep knowledge of Kubernetes and distributed systems.

Google Cloud serves customers in over 200 countries, providing enterprise-grade solutions that leverage Google's cutting-edge technology. You'll be part of a team that's pushing the boundaries of what's possible in cloud computing and AI infrastructure. The position offers the opportunity to work on challenging technical problems while having a significant impact on how organizations worldwide deploy and scale their AI workloads.

This role is perfect for someone who combines strong technical skills with leadership abilities, has experience with large-scale distributed systems, and is passionate about advancing the state of AI infrastructure. You'll work in a collaborative environment with opportunities to grow and evolve as the technology landscape changes, while enjoying the benefits and resources of working at one of the world's leading technology companies.