Senior Technical Program Manager

About This Role

This Senior Technical Program Manager role focuses on leading the DGX Cloud Fleet Health reporting program, providing real-time insights into GPU fleet availability and reliability. The core objective is to advance Mean-Time-Between-Interruption (MTBI) by understanding root causes, identifying data patterns, and driving cross-functional programs to extend fleet uptime. You will collaborate with Capacity Operations, Infrastructure, SRE, and Engineering teams to enhance customer experience through data-driven decisions.

Responsibilities

• Define and own the metrics framework for measuring fleet health, reliability, and MTBI across a diverse and rapidly scaling GPU fleet
• Lead hands-on data investigations, querying telemetry, correlating failure signals, and building statistical models to identify root causes of interruptions and quantify their impact
• Own and drive execution of cross-functional MTBI improvement programs end-to-end, from translating analytical findings into a prioritized roadmap to holding teams accountable to milestones and delivering measurable reliability gains
• Build and maintain dashboards, automated anomaly detection, and alerting frameworks that surface gaps in fleet health reporting in real time
• Anticipate and close reporting gaps with new cloud providers and hardware platforms by working closely with Infrastructure bring-up teams
• Communicate complex data findings and program status clearly to senior leadership, turning raw signals into crisp narratives and recommendations

Requirements

• 8+ years of Technical Program Management experience, with at least 3 years in infrastructure, platform, or reliability-focused domains
• Strong hands-on data analytics skills, comfortable writing SQL, working with large telemetry datasets, and building dashboards (Grafana, Superset, Databricks, or equivalent)
• Demonstrated ability to define and operationalize reliability metrics (MTBI, MTTR, availability SLAs) and drive engineering teams toward measurable improvements
• Proven ability to lead deep-dive investigations across ambiguous, multi-system problems and translate findings into long-term solutions
• Excellent executive communication skills, able to distill complex technical findings into clear, decision-ready narratives for senior leadership
• MS in EE, CS, or equivalent experience

Nice to have:

• Familiarity with NVIDIA GPU architectures and DGX/HGX infrastructure
• Experience with Databricks, Apache Spark, or other large-scale data processing platforms
• Hands-on experience with Grafana, Superset, or similar observability/BI tooling
• Background in cloud-native infrastructure, Kubernetes, or large-scale distributed systems

Benefits