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Nvidia Architect - GPU Performance Analysis 
India, Karnataka, Bengaluru 
62698249

24.06.2024

What you'll be doing:

  • System level performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).

  • Work on hardware models of different levels of abstraction, including performance models, RTL test benches ,emulators and silicon to analyze performance and find performance bottlenecks in the system.

  • Understand key performance use-cases of the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.

  • Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.

  • Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools.

  • Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.

What we need to see:

  • BE/BTech, or MS/MTech in relevant area, PhD is a plus, or equivalent experience.

  • 3+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures.

  • Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.

  • Expert hands on competence in programming (C/C++) and scripting (Perl/Python). Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.

  • Strong debugging and analysis (including data and statistical analysis) skills, including use for RTL dumps to debug failures.

  • Hands on experience developing performance simulators, cycle accurate/approximate models for pre-silicon performance analysis is a strong plus.