加入NV的N个理由:

1.      GPU，人工智能和自动驾驶的全球领导企业, 过去3年, 股票走势强劲

2.      能够直接参与到最先进,最复杂的芯片项目中, 业界最好的工具, 几百万的硬件加速平台任你用

3.      崇尚工程师文化, 重视员工职业发展, 技术岗位的管理岗97%从内部提拔

4.      技术领先, 参与制定众多的行业标准, 同时公司鼓励创新, 鼓励内部流动，从不限制员工发展



简历投递： tracyw@nvidia.com  微信:1751315121  (岗位Level: Open, 不限工作经验)



基础架构组，五个字背后隐藏着一群才华横溢的硬核 C++ 工程师。我们的工作范畴极广，从时间维度上横跨核弹卡的完整生命周期。我们创造并改进基础设施，帮助 NVIDIA 的各个部门回答三个灵魂拷问：



- 要造怎样的卡？

- 怎样确保造得出来？

- 造出来以后怎么优化性能？



除 C++ 是必备技能点，我们的组员在 DirectX、Vulkan、OpenGL、CUDA、OpenCL、OptiX 等一个或多个领域都是专家。在这个组，永远有令人激动的难题等着你。



主要工作内容:

你将开发公司内部核心系统软件， 为下一代芯片设计提供全方面的基础设施支持

你将系统深入的了解最前沿的 GPU 架构特性，并与硬件设计以及驱动团队紧密合作，设计软硬件之间以及软件栈之间的交互机制，为各种模型和最终产品提供统一的功能验证及性能分析平台

在这里，你将全方位参与到芯片开发的完整生命周期，全栈式覆盖从底层硬件到顶层应用的方方面面，与世界上最好的软件，硬件工程师们一起创造 NVIDIA 的明天



The NVIDIA Architecture group is lookingfor world class programmers to develop the core infrastructure for modeling,analysis, and debugging in the development of large-scale general-purposeGraphics and Computing chips. This C++ infrastructure enables our driver stack,applications, tests and studies to all run unchanged on all functional,diagnostic, and performance models, simulations, emulations and silicon for allour graphics chips.

What you'll be doing:

•      Akey part of NVIDIA's strength is our proprietary internal tools for thevisualization, analysis, and debug and verification of tests and applicationson various functional and performance simulations of future chips. We arecontinuously pushing the envelope and needing the next generation of tools toenable the next generation of chips. These tools are used by hundreds ofengineers worldwide.

•      Inthis role you will play a critical part in every stage of development of agraphics chip. You will work closely with other project members and users tospecify systems, create schedules, and manage ongoing feedback and enhancementreleases.

•      Learnand greatly improve the daily workflows of the world’s top chip modelers and designers.



What we need to see:

•      Strongprogramming ability: C, C++ preferred. Python a big plus.

•      Solidbackground in mathematics, algorithms and data structures required.

•      Additionalbackground in Compute Graphics preferred.

•      Astrong team player; self-motivated and good attitude.

•      Bachelor'sdegree or equivalent work experience.

•      1+years of experience.



Ways to stand out from the crowd:

•      Graphicsor CUDA knowledge a plus.

•      Experiencewith OpenGL, Direct3D, CUDA APIs a plus.

•      Knowledgeof next generation Graphics APPs (DX12/Vulkan) is a big plus.

•      Experiencewith chip and/or system simulation a big plus.

•      Strongscripting skills desired C Python/Perl preferred.