About The Position

The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency.

Requirements

  • Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)
  • 8+ years of relevant work experience or MS with 5+ years of experience 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 Docker, Jenkins, Python, Perl
  • Excellent communication and interpersonal skills and ability to work in a distributed team environment.

Responsibilities

  • Modeling and analysis of graphics and / or SOC algorithms 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 new architectures/features.
  • Code coverage analysis and reporting
  • Mentor younger engineers and help sustain good coding practices.
  • 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.

Benefits

  • equity
  • benefits
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