C++ 软件工程师（架构）-23届

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today. We have multiple directions to develop your career in NVIDIA as a software engineer or architecture engineer, from core infrastructure development to processor architecture design, from graphics to compute, from GPU to Terga mobile system, from GPU kernel to system applications . These directions are: GPU TPC Architect Direction C++Graphics Direction GPU System Software Direction(Profiling) GPU Graphics and Ray Tracing Direction Tegra Mobile System Architect Direction What you’ll be doing: Design and verify next-generation GPU architecture for computer graphics or high-performance computing for cutting-edge technology and features. Develop production and core infrastructure software for key NVIDIA product lines. Optimize performance for gaming, ray tracing, and deep learning applications at full stack from the high-level application, software stack to hardware architecture.

What we need to see: Bachelor's Degree or higher majoring in CS/EE/Mathematics or relevant fields. Strong C/C++ programming ability with practical development experience Ways to stand out from the crowd: Excellent English writing for engineering documentation, English oral well enough to attend meetings. In-depth knowledge of computer architecture, with an excellent understanding of modern ISA, microprocessor architecture design & verification. Strong scripting skills desired C, Python/Perl Experience with OpenGL, Direct3D (or any Graphics API, e.g. Vulkan), CUDA (or OpenCL) or other relevant API/Frameworks. Application domain knowledge including computer graphics, deep learning, and high-performance computing. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.