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Architect - GPU Performance

NVIDIA· Architect
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Bengaluru, Indiafull-timePosted 1mo ago

About the role

System-level performance analysis and architecture-focused role developing performance models, test benches, and workloads for high-performance GPUs/SoCs, with collaboration across architecture, design, and development teams to optimize system performance, area, and power.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:System-level performance analysisHardware modelingWorkload and test-suite developmentC/C++ programmingPython/Perl scripting
Nice to have:Verilog/SystemVerilog/SystemC/TLM

Benefits

  • Equal opportunity employer
  • Diversity and inclusion commitment
  • On-site work in Bengaluru, India (Hybrid option indicated by #LI-Hybrid)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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