Senior Staff Software Engineer, Storage AI/ML Benchmarks

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. The Google Customer Solutions (GCS) AI/ML Infrastructure team is developing a suite of benchmarks focused on key performance indicators such as throughput, latency, and scalability. These benchmarks will be engineered for reproducibility and transparency, utilizing standardized datasets and methodologies to enable accurate comparisons and facilitate performance analysis for diverse AI/ML applications. This initiative aims to provide valuable data-driven insights to both GCP customers and internal development teams, enabling informed decision-making and continuous optimization of GCS for evolving AI/ML workloads. The team will engage with the open-source community to identify performance issues and contribute to the enhancement of AI/ML software, ensuring optimal utilization of GCS capabilities.

As a Senior Staff Software Engineer in the Storage AI/ML Benchmarks team, you will:

• Serve as the subject matter expert on AI/ML workloads, guiding GCP Storage teams on performance optimization and best practices.
• Lead the design, development, and tuning of benchmarks that assess GCS performance for diverse AI/ML applications.
• Engineer tools and automation to enable reliable benchmark execution and performance tuning across GCP Storage.
• Publish comprehensive benchmark data and performance metrics to inform both internal teams and GCP customers.
• Influence the broader industry to adopt GCS benchmarks as standards and establish GCS as the leading storage solution for AI/ML.

This role offers an exciting opportunity to work at the intersection of cloud storage and AI/ML, driving innovation and performance improvements that will impact billions of users worldwide. Join Google Cloud and be part of shaping the future of cloud technology and AI/ML infrastructure.