Nvidia GPU Architect 

India, Karnataka, Bengaluru 

106044470

What you'll be doing:

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

• 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.

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

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

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

What we need to see:

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

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

• Demonstrated history of technical leadership.

• 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.