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What you'll be doing:
Modeling of GPU and other baseboard components and features
Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models.
Familiarize with the different models functional and performance that are used at NVIDIA and help with feature implementation as required.
Develop tests, test plans, and testing infrastructure for newarchitectures/features.
Code coverage analysis and reporting
Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change.
Help develop AI based tools to increase efficiency.
What we need to see:
Bachelor’s degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)
8+ years of meaningful work experience or MS with demonstrated ability or PhD with 2+ years of experience.
Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)
Computer Architecture background with experience in modeling with SystemC & TLM preferred.
Familiarity with Synopsys VDK, Docker, Jenkins, Python, Perl
Excellent communication and interpersonal skills and ability to work in a distributed team environment.
You will also be eligible for equity and .
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