Senior Staff Software Engineer, Google Cloud AI

Google Cloud AI is seeking a Senior Staff Software Engineer to join their New Product Introduction (NPI) and Platform Readiness team within the AI Hypercomputer Infrastructure organization. This role is crucial in bringing new Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) generations to the Google Cloud platform and enabling end-to-end AI/ML compute experiences for Google Cloud users.

The position involves working with cutting-edge AI infrastructure, focusing on bringing up and qualifying the complete Cloud TPU and Cloud GPU Hypercomputer stack, including VMs, Networking, Storage, Google Kubernetes Engine (GKE), and software tool chains. The team builds and delivers telemetry infrastructure for both GPU/TPU fleet and critical AI/ML workloads, while optimizing stability and performance for high-priority AI/ML workloads across the stack.

As a Senior Staff Software Engineer, you'll lead strategic technical alignment with major organizations across Google, develop multi-year plans for validating end-to-end stack for TPU and GPU Products, and ensure product performance meets the demands of growing business needs. The role requires extensive expertise in distributed systems and machine learning, strong collaborative skills, and the ability to provide technical leadership and mentorship.

The position offers competitive compensation including a base salary range of $248,000-$349,000 plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced engineers passionate about AI infrastructure and looking to make a significant impact on Google Cloud's AI capabilities while working with cutting-edge technology and leading technical teams.

The role is available in several key tech hubs including Kirkland, Seattle, San Francisco, and Sunnyvale, offering flexibility in location while maintaining close collaboration with core teams. Join Google's mission to advance AI technology and bring innovative solutions to various industries through Google Cloud's platform.