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 with technical leadership responsibilities. You'll work at the cutting edge of cloud technology, 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 that power Google Cloud's AI infrastructure. The role requires both technical depth in AI frameworks and tools (like TensorFlow, PyTorch, and Kubeflow) and the ability to lead and mentor engineering teams.

The position offers the opportunity to work with world-class engineers, tackle complex technical challenges in distributed computing and AI, and directly impact how organizations worldwide leverage Google Cloud for their AI initiatives. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with cutting-edge technology in a collaborative, innovation-driven environment.

This role is perfect for experienced engineers who are passionate about AI infrastructure, have a proven track record of technical leadership, and want to shape the future of cloud computing. You'll have the chance to work on projects that directly influence how the world's most demanding AI models are trained and deployed at scale.