Manage customer’s problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure. Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, and build tools for faster diagnosis. Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
Work closely with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive high-quality production. Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges.
Job description provided by Google.
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