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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!
Empower GPU architects to understand application performance today and modelcompetition-destroyingperformance for tomorrow.
What we need to see:
Bachelor's or higher degree in Computer Science, Computer Engineering, or related major (or equivalent experience)
5+ years of experience
Strong C++ is a must-have capability
Aptitude to work across the GPU, driver, and application stacks
Some familiarity with a scripting language, such as Python or Perl
Excellent interpersonal skills
Ability to multi-task
Flexibility for working in an evolving environment with different frameworks and requirements
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.
You will also be eligible for equity and .
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