Modeling of GPU architecture, baseboard components and other features
Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to analyze and simulate, validate and verify models
Familiarize with different functional and performance simulation models across Nvidia and work through modeling features
Develop tests, test plans and testing infrastructure for new architectures/ features
Guide the improvement of the simulation platform and expand other resources to support future GPU architectures
Develop or use AI to help with day-to-day tasks

Requirements

BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 5+ years of experience in related areas
Proficient programming skills in C++, C, and scripting languages such as 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, with a track record of driving issues to closure
Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment
Strong collaboration skills with design and engineering teams

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

C++CPythonPerlSystem CTLMPyTorchTensorFlowLangChainmodeling

Soft Skills

problem-solvingdebuggingcommunicationinterpersonalcollaboration