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 are critical to Google Cloud's strategy in the AI/ML space. You'll be responsible for designing and implementing large-scale software solutions that power the training of the world's most demanding GenAI models. The role requires both technical depth in AI frameworks and tools, as well as the ability to lead and mentor teams.
The position offers the opportunity to work with cutting-edge technology in AI and cloud computing, while being part of Google's influential cloud division that serves customers across 200+ countries. You'll collaborate with talented engineers across Google, helping shape the future of cloud computing and AI infrastructure.
This role is perfect for experienced engineers who are passionate about AI/ML infrastructure, have a strong background in distributed systems, and want to make a significant impact on how the world's most advanced AI models are trained and deployed. You'll be at the forefront of solving complex technical challenges while helping build and mentor high-performing engineering teams.