Teams at NVIDIA

Lead development and deployment of scalable ML, prescriptive analytics, and constrained-optimization models for real-time routing, scheduling, capacity allocation, and personalization in cloud gaming. Build data ingestion and processing frameworks, improve data quality, analyze patterns with supervised/unsupervised methods, and collaborate cross-functionally to deliver prescriptive pipelines and actionable recommendations that optimize latency, utilization, and retention.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

Verify the design and implementation of inference accelerators using advanced methodologies, collaborating with architects and optimizing verification flows.