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Job Description
- Design and implement high-complexity features, deliver production-ready code for storage solutions that address the specific demands of AI/ML workloads.
- Architect scalable and performant storage solutions, apply data-driven decisions to optimize system efficiency and reliability.
- Diagnose and resolve performance bottlenecks and intricate system issues, develop innovative, practical solutions to technical issues that arise at the intersection of storage and ML.
- Collaborate with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubation’s output aligns with broader Google Cloud goals.