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System Software Engineer, GPU Development Tools

NVIDIA

4.0
279 reviews
NVIDIA
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Shanghai, Shanghai, China
Salary Range
CNY 30,000 - CNY 45,000 (Monthly)
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A key part of NVIDIA's strength is our sophisticated development tools and modelling environments that enable our incredible pace of delivering new technology to market. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high production-quality standards. This software engineering role involves developing high-level chip models, test APIs and trace generation workflows, and analysis tools. As a member of the software development team, you will engineer and improve the core infrastructure for execution, automation, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models.

What You’ll Be Doing

  • This role will require you to play a critical part in every stage of development of a GPU!
  • Improve the daily workflows of the world’s top chip modelers and designers to help produce the next greatest generation of GPUs.
  • Empower GPU architects to understand application performance today and model competition-destroying performance for tomorrow.
  • Coordinate with architecture and software teams to enable functional and performance testing for the next architecture.

What We Need To See

  • Bachelor's or higher degree in Computer Science, Computer Engineering, or related major
  • 2+ years of experience
  • Aptitude to work across the GPU, driver, and application stacks
  • Strong C/C++ is a must-have capability
  • Fluent in written and spoken English
  • Python programming experience (a plus).
  • AI related knowledges (a plus)

Ways To Stand Out From The Crowd

  • Know-how working on operating system kernels or writing device drivers with strong systems-level debugging skills
  • A knowledge of GPU APIs such as DirectX, CUDA, Vulkan or OpenGL
  • Experience with chip and/or system simulation
  • Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals would be helpful
  • Advanced programming expertise with full-stack web based visualization technologies to help provide data insights.

, , JR2016503

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