Principal Software Engineer, At-Scale Reliability and Fleet Intelligence - CSP Engagements

Responsibilities

• Drive reliability work streams with CSP engineering teams — ensuring shared understanding of MTBI measurement methodology, failure classification, and health monitoring architecture
• Gather and synthesize CSP fleet reliability data — identify failure patterns that appear across multiple customers and champion improvements back into NVIDIA's firmware, driver, and hardware teams
• Define consistent MTBI measurement methodology that works across different CSP monitoring environments and operational practices
• Conduct fleet-scale failure pattern analysis using statistical methods (Pareto, survival analysis, Weibull) to classify failures as systemic, environmental, or configuration-specific
• Drive fleet health monitoring integration architecture — ensure NVIDIA's health agents, telemetry, and reporting align with CSP operational workflows and automation
• Define burn-in reliability test environment and cluster certification criteria in collaboration with quality teams, validating with customers that criteria are meaningful
• Collaborate with CSPs to ensure reliability-related integration work (health monitoring deployment, telemetry pipeline, alerting configuration) is complete ahead of at-scale launch
• Develop predictive failure models using fleet telemetry and validate their effectiveness in customer environments
• What we need to see
• 15+ years of experience in systems software at datacenter scale, or reliability engineering with focus on at-scale challenges.

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