Senior Memory Subsystem Architect

About the role

Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

What you'll do

• Developing architecture and micro-architecture to improve the state-of-the-art in memory system optimizing along the axes of performance, power efficiency, complexity
• Performance modeling and simulation of features to improve memory system efficiency
• Implementing and maintaining high-level performance and functional models
• Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations
• Debugging performance and functional issues with high-level models, RTL simulation, and silicon

What you need

• 4–7 yrs of experience
• VLSI
• Deep learning
• B.Tech or B.E.