GPU C++ Modeling Engineer

4 Months ago • 3 Years + • Programming

Job Summary

Job Description

This role involves performance and functional modeling, validation, and analysis of shaders for GPU architecture. Responsibilities include investigating and proposing architecture ideas based on quantitative studies, establishing simulation models, developing test plans and tests to validate new features, and testing/debugging on simulators, RTL, and real silicon. Close collaboration with the US team is required. The work focuses on improving GPU architecture for efficient AI program execution and enhanced game rendering. The ideal candidate possesses in-depth knowledge of computer architecture, GPU concepts, and C++, along with experience in performance/functional modeling and analysis.
Must have:
  • 3+ years of experience
  • BSEE/BSCSE or equivalent
  • In-depth knowledge of computer architecture
  • Good understanding of GPU concepts and pipelines
  • Mastery of C++
Good to have:
  • MS or PhD
  • Experience with performance/functional modeling
  • Experience with trace-driven and execution-driven simulation
  • GPU shader unit design experience
  • Microprocessor design experience
  • CPU/GPU performance analysis experience

Job Details

We are now looking for a GPU C++ Modeling Engineer – Performance/Functional Modeling, Validation and Analysis of Shader. TPC arch team is a fast-growing team which welcomes all level engineers to join. Our aim is to explore and design better architecture of GPU which will help AI program run efficiently and rendering in games become faster and more realistic. TPC is core of GPU. It includes several units for schedule, computation and cache.  You will work will US team closely, including test writing, function and performance implementation of kinds of features and study of new features. Don’t worry about the importance of work. Don’t worry about heavy workload. Join us, grow faster.
 

What you’ll be doing:

  • Investigate and propose architecture ideas based on quantitative study of existing and projected GPU architecture.

  • Establish performance and functional simulation models.

  • Develop performance and functional testplan and tests to validate new GPU architectural and features.

  • Test and debug on simulators, RTL and real silicon.

What we need to see:

  • 3+ years of work experience.

  • BSEE, BSCSE, or equivalent required. MS or PhD is a plus.

  • In depth knowledge of computer architecture, with good understanding of modern ISA and microprocessor implementation techniques.

  • Good understanding of GPU concept and pipeline, in terms of Graphics processing and parallel compute.

  • Good mastery of C++ language.

  • Experience of performance/functional modelling, profiling and analysis is a plus.

  • Experience with trace-driven and execution-driven simulation model development is a plus.

Ways to stand out from the crowd:

  • Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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