Senior GPU Functional Modeling Architect
$152k - $288k • Remote • US, CA, Santa Clara
Posted 5d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Infrastructure Engineer
About the job
NVIDIA is seeking Architects, Functional Modeling Engineers, and Simulation experts to join its Architecture Modeling group. In this role, you will collaborate with world-class architects to enable functional simulation platforms across GPU generations. You will be instrumental in modeling GPU architecture, baseboard components, and other features, working within a matrixed environment to document, design, develop tools for analysis and simulation, and validate models. The position involves familiarizing yourself with various functional and performance simulation models across NVIDIA, developing tests and testing infrastructure for new architectures, and guiding the improvement of the simulation platform to support future GPU architectures. You will also have the opportunity to develop or use AI to assist with daily tasks.
Responsibilities
- Model GPU architecture, baseboard components, and other features.
- Collaborate across modeling teams to document, design, develop tools for analysis and simulation, validate, and verify models.
- Familiarize with and leverage different functional and performance simulation models across NVIDIA.
- Develop tests, test plans, and testing infrastructure for new architectures and features.
- Guide the improvement of the simulation platform and expand resources for future GPU architectures.
- Develop or utilize AI to assist with day-to-day tasks.
Requirements
- BS, MS, PhD, or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- 5+ years of experience in related areas.
- Proficient programming skills in C++, C, and scripting languages like Python or Perl.
- Solid background in Computer Architecture with experience in modeling (System C & TLM preferred).
- Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and LangChain.
- Strong problem-solving and debugging skills.
- Effective communication and interpersonal skills for distributed team environments.
- Strong collaboration skills with design and engineering teams.
Benefits
- Equity
- Benefits