The Senior Software Engineer, Storage AI/ML role at Google focuses on optimizing Cloud Storage for AI/ML workloads. The position is part of the Storage AI/ML Solutions team, which aims to enhance GCP performance and provide specialized AI client libraries. Engineers in this role will work on critical projects that involve collaboration with various teams across GCP. The position requires a blend of technical expertise in storage infrastructure and AI/ML technologies.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 5 years of experience with software development in one or more programming languages such as Rust, Java, or Python.
• 5 years of experience with developing large-scale infrastructure, distributed systems, or networks.
• Experience with Storage infrastructure and AI/ML infrastructure, including TensorFlow.

• Review code developed by other developers and provide feedback to ensure best practices.
• Lead feature design, develop, and tune benchmarks for GCP Storage systems focused on AI/ML workloads.
• Work closely with various teams across GCP to drive storage innovation for AI/ML.
• Build deep technical expertise in file systems, operating systems, and performance engineering.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.