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Job Description
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Senior SWE in the Tessellation team where main charter for AI/ML storage solutions: focusing on AI/ML solutions such as client side distributed caching, benchmarking, performance investigation and storage optimizations.
- Lead feature design, develop and tune benchmarks for GCP Storage systems with the goal to make GCP Storage the best for AI/ML workloads.
- Work closely with various teams across GCP, including core GCS, File Solutions, GKE, Cloud ML Compute Services (CMCS), and Networking to driving storage innovation for AI/ML.
- Build deep technical expertise in file systems, operating systems, performance engineering, and the rapidly evolving AI/ML landscape.