← All roles

Senior GPU Memory Subsystem Architect

NVIDIA· Architect
Apply on company site
BengaluruFull-timePosted 7mo ago

About the role

Memory subsystem architect role at NVIDIA focusing on performance modeling, simulation, debugging, and analysis to improve GPU memory subsystem efficiency.

Responsibilities

  • Contribute to advancing GPU Architecture and Simulators, GPU testing infrastructure, metrics, and/or compilers.
  • Performance modeling and simulation of features to improve memory system efficiency.
  • Develop test plans and testing infrastructure.
  • Debug tests on architecture simulators.
  • Performance analysis/bottleneck analysis of memory subsystem units and features.
  • 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 ASIC design and verification teams.

Qualifications

  • Master/Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering or related field (or equivalent experience).
  • 3+ years experience dealing with system level architecture and performance issues.
  • Strong programming ability in C, C++. Exposure to Verilog/System Verilog is a strong plus.
  • Good understanding of Memory subsystem architecture, caches, MMU, memory controller, NOC / interconnects, computer architecture.
  • Debugging and analysis, 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.
  • Strong communication and interpersonal skills are required.

Skills

Required:C/C++ programmingMemory subsystem architectureRTL debuggingCommunication and teamwork
Nice to have:Verilog/SystemVerilogPerformance modeling and simulation

Benefits

  • Diversity and equal opportunity employer
  • Reasonable accommodation for disabled applicants in processes and employment benefits
Last updated Jul 3, 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.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm

More open roles at NVIDIA