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Architect - Performance Verification and Analysis

NVIDIA· Architect
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Bengalurufull-timePosted 4mo ago

About the role

Performance verification and analysis architect role focused on evaluating and improving performance for GPUs and SoCs, developing workloads, performance models, and infrastructure to drive early performance insights across AI/ML, automotive, Geforce, and HPC products.

Responsibilities

  • Performance analysis/bottleneck analysis of complex, high performance GPUs and 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.
  • Collaborate with architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
  • Understand key performance usecases for the product. Develop workloads and test suites 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.

Qualifications

  • BE/BTech or MS/MTech, or equivalent experience in relevant area, PhD is a plus.
  • 2+ years of relevant experience dealing with system level architecture and performance issues.
  • Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, CPU architecture, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.
  • Solid programming (C/C++) and scripting (Bash/Perl/Python) skills. Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.
  • Strong debugging and analysis (including data and statistical analysis) skills, including use of RTL dumps to debug failures.
  • Exposure to performance simulators, cycle accurate/approximate models or emulators for pre-silicon performance analysis is a plus.
  • Excellent communication and organization skills.
  • Ability to work in a global team environment.

Skills

Required:System-level architectureProgrammingDebugging and data analysis

Benefits

  • Equal opportunity employer; value diversity; non-discrimination on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Last updated Jun 26, 2026. Interested? Apply on the company site.

About NVIDIA

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

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