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What you'll be doing:
Performance analysis/ bottleneck analysis of complex, high-performance GPUs and System-on-Chips (SoCs).
Help drive the roadmap for NVIDIA's functional and performance simulators targeting various application spaces.
Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators, to find performance bottlenecks in the system.
Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.
Contribute towards fundamental improvements in NVIDIA's functional simulators to improve simulator performance and ease of development.
Contribute towards modeling methodologies including co-simulation methodologies, both for functional and performance simulators, to expand the scope of simulators.
Develop required infrastructure including performance simulators, testbench components and analysis tools.
Provide technical mentorship to modeling team members.
What we need to see:
BE/BTech or MS/MTech in the relevant area, PhD is a plus.
10+ years of strong hands on experience related to functional and/or performance model creation.
Track record of driving cross-team initiatives and innovations related to modeling methodologies.
Proven history of technical leadership.
Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.
Strong grasp of of modeling standards and modeling eco-system.
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