Senior GPU Architecture Modeling Lead — AI & Simulation

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking Architects, Functional Modeling Engineers, and Simulation experts to advance GPU architecture simulations in a collaborative, cross-group setting. The role focuses on modeling GPU architecture, baseboard components, and developing testing infrastructure.

Candidates should have 5+ years in related areas with strong C/C++, Python, and ML framework experience, including PyTorch and TensorFlow.

Qualifications

• BS, MS, PhD or equivalent experience in CS/EE/CE or related field (5+ years).
• Proficient in C++, C, and scripting languages such as Python or Perl.
• Solid background in Computer Architecture with modeling (SystemC & TLM preferred).
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and LangChain.
• Strong problem-solving, debugging, and collaboration skills for distributed teams.

Responsibilities

• Model GPU architecture, baseboard components, and related features.
• Develop tools to analyze, simulate, verify models in a matrixed environment.
• Familiarize with functional/performance simulation models across Nvidia products.
• Develop tests, test plans, and testing infrastructure for new architectures and features.
• Guide improvements to the simulation platform and expand resources for future GPUs.

Skills

C++

C

Python

Perl

LangChain

PyTorch

TensorFlow

Education

BS/MS/PhD or equivalent

Tools

SystemC

TLM

Job description

NVIDIA Corporation is seeking Architects, Functional Modeling Engineers, and Simulation experts to advance GPU architecture simulations in a collaborative, cross-group setting. The role focuses on modeling GPU architecture, baseboard components, and developing testing infrastructure.

Candidates should have 5+ years in related areas with strong C/C++, Python, and ML framework experience, including PyTorch and TensorFlow.