Product Manager guiding Health Automation and Resilience efforts for AI infrastructure at NVIDIA. Collaborating with engineering to develop fault detection and automated repair workflows.
Responsibilities
Establish the product vision and strategy for Health Automation and Resilience across DGX Cloud and partner GPU fleets.
Partner with engineering on the architecture and delivery of software agents, services, control loops, and distributed health components.
Convert hardware signals, telemetry pipelines, and operational insights into automation systems that reduce manual intervention.
Work with cloud providers and enterprise operators to understand failure modes and operational challenges.
Develop product specifications, technical requirements, and validation criteria for both internal and open-source components.
Support go-to-market activities including documentation, demos, partner enablement, and release readiness.
Track trends in observability, SRE practices, distributed systems, and automated operations to define long-term strategy.
Lead product technical reviews, customer conversations, and planning sessions.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a similar area, or equivalent experience.
8+ years of relevant experience including demonstrated experience leading technical products within cloud infrastructure, distributed systems, reliability engineering, or related fields.
Track record defining multi-quarter strategy and leading execution with multiple engineering teams.
Ability to craft clear product requirements, work directly with engineering partners on technical decisions, and compose system-level workflows.
Strong architectural understanding of control planes, telemetry systems, health monitoring, repair workflows, or automated remediation systems.
Understanding of telemetry signals, SLOs, failure modes, and repair workflows in production environments.
Experience building automation, resilience, or failure-recovery capabilities for large-scale cloud or HPC environments.
Experience working with open-source technologies or products for software developers.
Excellent communication skills across engineering, customers, and executives.
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