Senior Staff Software Engineer, Storage AI/ML Benchmarks

Google Cloud Storage (GCS) AI/ML Infrastructure team is seeking a Senior Staff Software Engineer to lead their storage benchmarking initiatives for AI/ML workloads. This role combines deep expertise in distributed systems, storage optimization, and machine learning to drive GCP's position as the leading storage solution for AI/ML applications.

The position offers an opportunity to work at the intersection of cloud storage and artificial intelligence, developing benchmarks that will shape industry standards. You'll be responsible for deeply understanding and optimizing Cloud Storage for cutting-edge AI/ML workloads, while collaborating with the open source community to improve AI/ML software integration with GCP.

As a technical leader, you'll guide teams in performance optimization, develop comprehensive benchmarking systems, and influence both internal and external stakeholders. The role requires strong expertise in distributed systems, storage solutions, and machine learning infrastructure, making it ideal for someone who wants to impact how billions of users interact with cloud technology.

The position offers competitive compensation ($237,000-$337,000 + bonus + equity) and the opportunity to work with cutting-edge technology at Google's world-class facilities. You'll be part of a team that's pushing the boundaries of cloud storage performance for AI/ML applications, working alongside some of the industry's best engineers.

This role is perfect for a seasoned engineer who combines technical expertise with leadership skills, someone who can bridge the gap between complex storage systems and machine learning workloads while driving technical direction and innovation in the cloud computing space.